default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDFrank Allgöwer
Person information
- affiliation: University of Stuttgart, Germany
- award (2004): Gottfried Wilhelm Leibniz Prize
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
Journal Articles
- 2024
[j177]Johannes Köhler
, Matthias Albrecht Müller, Frank Allgöwer:
Analysis and design of model predictive control frameworks for dynamic operation - An overview. Annu. Rev. Control. 57: 100929 (2024)- [j176]Lukas Schwenkel, Alexander Hadorn, Matthias A. Müller, Frank Allgöwer:
Linearly discounted economic MPC without terminal conditions for periodic optimal operation. Autom. 159: 111393 (2024) - [j175]Michael Hertneck, Simon Lang, Julian Berberich, Frank Allgöwer:
Event-Triggered Control Based on Integral Quadratic Constraints. IEEE Control. Syst. Lett. 8: 2039-2044 (2024) - [j174]Sebastian Schlor, Frank Allgöwer:
Bootstrapping Guarantees: Stability and Performance Analysis for Dynamic Encrypted Control. IEEE Control. Syst. Lett. 8: 2235-2240 (2024) - [j173]Tim Martin, Frank Allgöwer:
Data-Driven System Analysis of Nonlinear Systems Using Polynomial Approximation. IEEE Trans. Autom. Control. 69(7): 4261-4274 (2024) - [j172]Marc Seidel, Michael Hertneck, Pian Yu, Steffen Linsenmayer, Dimos V. Dimarogonas, Frank Allgöwer:
A Window-Based Periodic Event-Triggered Consensus Scheme for Multiagent Systems. IEEE Trans. Control. Netw. Syst. 11(1): 414-426 (2024) - 2023
- [j171]Tim Martin, Thomas B. Schön, Frank Allgöwer:
Guarantees for data-driven control of nonlinear systems using semidefinite programming: A survey. Annu. Rev. Control. 56: 100911 (2023) - [j170]Alexandre Sanfelici Bazanella, Frank Allgöwer:
Data-Driven Control: The conspicuous technology. Annu. Rev. Control. 56: 100927 (2023) - [j169]Matthias Köhler, Lisa Krügel, Lars Grüne, Matthias Albrecht Müller, Frank Allgöwer:
Transient Performance of MPC for Tracking. IEEE Control. Syst. Lett. 7: 2545-2550 (2023) - [j168]Xin Wang, Jian Sun, Gang Wang, Frank Allgöwer, Jie Chen:
Data-Driven Control of Distributed Event-Triggered Network Systems. IEEE CAA J. Autom. Sinica 10(2): 351-364 (2023) - [j167]Lukas Schwenkel, Johannes Köhler, Matthias Albrecht Müller, Frank Allgöwer:
Model Predictive Control for Linear Uncertain Systems Using Integral Quadratic Constraints. IEEE Trans. Autom. Control. 68(1): 355-368 (2023) - [j166]Raffaele Soloperto, Matthias A. Müller, Frank Allgöwer:
Guaranteed Closed-Loop Learning in Model Predictive Control. IEEE Trans. Autom. Control. 68(2): 991-1006 (2023) - [j165]Philipp N. Köhler, Matthias A. Müller, Frank Allgöwer:
Approximate Dissipativity of Cost-Interconnected Systems in Distributed Economic MPC. IEEE Trans. Autom. Control. 68(4): 2170-2182 (2023) - [j164]Raffaele Soloperto, Johannes Köhler, Frank Allgöwer:
A Nonlinear MPC Scheme for Output Tracking Without Terminal Ingredients. IEEE Trans. Autom. Control. 68(4): 2368-2375 (2023) - [j163]Joscha Bongard, Julian Berberich, Johannes Köhler, Frank Allgöwer:
Robust Stability Analysis of a Simple Data-Driven Model Predictive Control Approach. IEEE Trans. Autom. Control. 68(5): 2625-2637 (2023) - [j162]Tim Martin, Frank Allgöwer:
Data-Driven Inference on Optimal Input-Output Properties of Polynomial Systems With Focus on Nonlinearity Measures. IEEE Trans. Autom. Control. 68(5): 2832-2847 (2023) - [j161]Amr Alanwar, Anne Koch, Frank Allgöwer, Karl Henrik Johansson:
Data-Driven Reachability Analysis From Noisy Data. IEEE Trans. Autom. Control. 68(5): 3054-3069 (2023) - [j160]Stefan Wildhagen, Julian Berberich, Michael Hertneck, Frank Allgöwer:
Data-Driven Analysis and Controller Design for Discrete-Time Systems Under Aperiodic Sampling. IEEE Trans. Autom. Control. 68(6): 3210-3225 (2023) - [j159]Julian Berberich, Carsten W. Scherer, Frank Allgöwer:
Combining Prior Knowledge and Data for Robust Controller Design. IEEE Trans. Autom. Control. 68(8): 4618-4633 (2023) - [j158]Mohammad Alsalti, Victor G. Lopez, Julian Berberich, Frank Allgöwer, Matthias A. Müller:
Data-Based Control of Feedback Linearizable Systems. IEEE Trans. Autom. Control. 68(11): 7014-7021 (2023) - [j157]Raffaele Soloperto, Ali Mesbah, Frank Allgöwer:
Safe Exploration and Escape Local Minima With Model Predictive Control Under Partially Unknown Constraints. IEEE Trans. Autom. Control. 68(12): 7530-7545 (2023) - [j156]Stefan Wildhagen, Frank Allgöwer:
Uncertainties and Output Feedback in Rollout Event-Triggered Control. IEEE Trans. Control. Netw. Syst. 10(3): 1195-1208 (2023) - [j155]Xin Wang, Julian Berberich, Jian Sun, Gang Wang, Frank Allgöwer, Jie Chen:
Model-Based and Data-Driven Control of Event- and Self-Triggered Discrete-Time Linear Systems. IEEE Trans. Cybern. 53(9): 6066-6079 (2023) - 2022
- [j154]Stefan Wildhagen, Frank Dürr, Frank Allgöwer:
Rollout event-triggered control: reconciling event- and time-triggered control. Autom. 70(4): 331-342 (2022) - [j153]Patricia Pauli, Julian Berberich, Frank Allgöwer:
Robustness analysis and training of recurrent neural networks using dissipativity theory. Autom. 70(8): 730-739 (2022) - [j152]Patricia Pauli, Anne Koch, Julian Berberich, Paul Kohler, Frank Allgöwer:
Training Robust Neural Networks Using Lipschitz Bounds. IEEE Control. Syst. Lett. 6: 121-126 (2022) - [j151]Miel Sharf, Anne Koch, Daniel Zelazo, Frank Allgöwer:
Model-Free Practical Cooperative Control for Diffusively Coupled Systems. IEEE Trans. Autom. Control. 67(2): 754-766 (2022) - [j150]Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Constrained Nonlinear Output Regulation Using Model Predictive Control. IEEE Trans. Autom. Control. 67(5): 2419-2434 (2022) - [j149]Anne Koch, Julian Berberich, Frank Allgöwer:
Provably Robust Verification of Dissipativity Properties from Data. IEEE Trans. Autom. Control. 67(8): 4248-4255 (2022) - [j148]Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Linear Tracking MPC for Nonlinear Systems - Part I: The Model-Based Case. IEEE Trans. Autom. Control. 67(9): 4390-4405 (2022) - [j147]Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Linear Tracking MPC for Nonlinear Systems - Part II: The Data-Driven Case. IEEE Trans. Autom. Control. 67(9): 4406-4421 (2022) - 2021
- [j146]Johannes Köhler, Lukas Schwenkel, Anne Koch, Julian Berberich, Patricia Pauli, Frank Allgöwer:
Robust and optimal predictive control of the COVID-19 outbreak. Annu. Rev. Control. 51: 525-539 (2021) - [j145]Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Data-driven model predictive control: closed-loop guarantees and experimental results. Autom. 69(7): 608-618 (2021) - [j144]Shuyou Yu, Matthias Hirche, Yanjun Huang, Hong Chen, Frank Allgöwer:
Model predictive control for autonomous ground vehicles: a review. Auton. Intell. Syst. 1(1) (2021) - [j143]Michael Hertneck, Steffen Linsenmayer, Frank Allgöwer:
Efficient stability analysis approaches for nonlinear weakly-hard real-time control systems. Autom. 133: 109868 (2021) - [j142]Anne Koch, Julian Berberich, Johannes Köhler, Frank Allgöwer:
Determining optimal input-output properties: A data-driven approach. Autom. 134: 109906 (2021) - [j141]Tim Martin, Frank Allgöwer:
Dissipativity Verification With Guarantees for Polynomial Systems From Noisy Input-State Data. IEEE Control. Syst. Lett. 5(4): 1399-1404 (2021) - [j140]Philipp N. Köhler, Matthias A. Müller, Jürgen Pannek, Frank Allgöwer:
Distributed economic model predictive control for cooperative supply chain management using customer forecast information. IFAC J. Syst. Control. 15: 100125 (2021) - [j139]Johannes Köhler, Raffaele Soloperto, Matthias A. Müller, Frank Allgöwer:
A Computationally Efficient Robust Model Predictive Control Framework for Uncertain Nonlinear Systems. IEEE Trans. Autom. Control. 66(2): 794-801 (2021) - [j138]Anne Koch, Jan Maximilian Montenbruck, Frank Allgöwer:
Sampling Strategies for Data-Driven Inference of Input-Output System Properties. IEEE Trans. Autom. Control. 66(3): 1144-1159 (2021) - [j137]Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Data-Driven Model Predictive Control With Stability and Robustness Guarantees. IEEE Trans. Autom. Control. 66(4): 1702-1717 (2021) - [j136]Steffen Linsenmayer, Michael Hertneck, Frank Allgöwer:
Linear Weakly Hard Real-Time Control Systems: Time- and Event-Triggered Stabilization. IEEE Trans. Autom. Control. 66(4): 1932-1939 (2021) - [j135]Steffen Linsenmayer, Ben W. Carabelli, Stefan Wildhagen, Kurt Rothermel, Frank Allgöwer:
Controller and Triggering Mechanism Co-design for Control Over Time-Slotted Networks. IEEE Trans. Control. Netw. Syst. 8(1): 222-232 (2021) - 2020
- [j134]Julian Berberich, Johannes Köhler, Frank Allgöwer, Matthias A. Müller:
Dissipativity properties in constrained optimal control: A computational approach. Autom. 114: 108840 (2020) - [j133]Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
A nonlinear tracking model predictive control scheme for dynamic target signals. Autom. 118: 109030 (2020) - [j132]Raffaele Soloperto, Johannes Köhler, Frank Allgöwer:
Augmenting MPC Schemes With Active Learning: Intuitive Tuning and Guaranteed Performance. IEEE Control. Syst. Lett. 4(3): 713-718 (2020) - [j131]Dirke Imig, Nadine Pollak, Frank Allgöwer, Markus Rehm:
Sample-based modeling reveals bidirectional interplay between cell cycle progression and extrinsic apoptosis. PLoS Comput. Biol. 16(6) (2020) - [j130]Julian Nubert, Johannes Köhler, Vincent Berenz, Frank Allgöwer, Sebastian Trimpe:
Safe and Fast Tracking on a Robot Manipulator: Robust MPC and Neural Network Control. IEEE Robotics Autom. Lett. 5(2): 3050-3057 (2020) - [j129]Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
A Nonlinear Model Predictive Control Framework Using Reference Generic Terminal Ingredients. IEEE Trans. Autom. Control. 65(8): 3576-3583 (2020) - [j128]Martina Mammarella, Matthias Lorenzen, Elisa Capello, Hyeongjun Park, Fabrizio Dabbene, Giorgio Guglieri, Marcello Romano, Frank Allgöwer:
An Offline-Sampling SMPC Framework With Application to Autonomous Space Maneuvers. IEEE Trans. Control. Syst. Technol. 28(2): 388-402 (2020) - 2019
- [j127]Florian David Brunner, W. P. M. H. Heemels, Frank Allgöwer:
Event-triggered and self-triggered control for linear systems based on reachable sets. Autom. 101: 15-26 (2019) - [j126]Yuanye Chen, Adil Zulfiqar, Dan Ma, Yang Shi, Jie Chen, Frank Allgöwer:
Simultaneous stabilization of discrete-time delay systems and bounds on delay margin. Autom. 101: 296-308 (2019) - [j125]Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Distributed model predictive control - Recursive feasibility under inexact dual optimization. Autom. 102: 1-9 (2019) - [j124]Matthias Lorenzen, Mark Cannon, Frank Allgöwer:
Robust MPC with recursive model update. Autom. 103: 461-471 (2019) - [j123]Steffen Linsenmayer, Dimos V. Dimarogonas, Frank Allgöwer:
Periodic event-triggered control for networked control systems based on non-monotonic Lyapunov functions. Autom. 106: 35-46 (2019) - [j122]Karsten Kuritz, Shen Zeng, Frank Allgöwer:
Ensemble Controllability of Cellular Oscillators. IEEE Control. Syst. Lett. 3(2): 296-301 (2019) - [j121]Anne Romer, Julian Berberich, Johannes Köhler, Frank Allgöwer:
One-Shot Verification of Dissipativity Properties From Input-Output Data. IEEE Control. Syst. Lett. 3(3): 709-714 (2019) - [j120]Stefan Wildhagen, Matthias A. Müller, Frank Allgöwer:
Predictive Control Over a Dynamical Token Bucket Network. IEEE Control. Syst. Lett. 3(4): 859-864 (2019) - [j119]Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Nonlinear Reference Tracking: An Economic Model Predictive Control Perspective. IEEE Trans. Autom. Control. 64(1): 254-269 (2019) - 2018
- [j118]Florian A. Bayer, Matthias Albrecht Müller, Frank Allgöwer:
On optimal system operation in robust economic MPC. Autom. 88: 98-106 (2018) - [j117]Florian David Brunner, Duarte Antunes, Frank Allgöwer:
Stochastic thresholds in event-triggered control: A consistent policy for quadratic control. Autom. 89: 376-381 (2018) - [j116]Philipp N. Köhler, Matthias Albrecht Müller, Frank Allgöwer:
A distributed economic MPC framework for cooperative control under conflicting objectives. Autom. 96: 368-379 (2018) - [j115]Julian Berberich, Johannes Köhler, Frank Allgöwer, Matthias A. Müller:
Indefinite Linear Quadratic Optimal Control: Strict Dissipativity and Turnpike Properties. IEEE Control. Syst. Lett. 2(3): 399-404 (2018) - [j114]Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
On Periodic Dissipativity Notions in Economic Model Predictive Control. IEEE Control. Syst. Lett. 2(3): 501-506 (2018) - [j113]Michael Hertneck, Johannes Köhler, Sebastian Trimpe, Frank Allgöwer:
Learning an Approximate Model Predictive Controller With Guarantees. IEEE Control. Syst. Lett. 2(3): 543-548 (2018) - [j112]Steffen Linsenmayer, Hideaki Ishii, Frank Allgöwer:
Containability With Event-Based Sampling for Scalar Systems With Time-Varying Delay and Uncertainty. IEEE Control. Syst. Lett. 2(4): 725-730 (2018) - [j111]Florian David Brunner, Matthias Albrecht Müller, Frank Allgöwer:
Enhancing Output-Feedback MPC With Set-Valued Moving Horizon Estimation. IEEE Trans. Autom. Control. 63(9): 2976-2986 (2018) - [j110]Steffen Linsenmayer, Dimos V. Dimarogonas, Frank Allgöwer:
Event-Based Vehicle Coordination Using Nonlinear Unidirectional Controllers. IEEE Trans. Control. Netw. Syst. 5(4): 1575-1584 (2018) - [j109]Jingbo Wu, Valery A. Ugrinovskii, Frank Allgöwer:
Cooperative Estimation and Robust Synchronization of Heterogeneous Multiagent Systems With Coupled Measurements. IEEE Trans. Control. Netw. Syst. 5(4): 1597-1607 (2018) - [j108]Yuyi Liu, Jan Maximilian Montenbruck, Daniel Zelazo, Marcin Odelga, Sujit Rajappa, Heinrich H. Bülthoff, Frank Allgöwer, Andreas Zell:
A Distributed Control Approach to Formation Balancing and Maneuvering of Multiple Multirotor UAVs. IEEE Trans. Robotics 34(4): 870-882 (2018) - 2017
- [j107]Gregor Goebel, Frank Allgöwer:
New results on semi-explicit and almost explicit MPC algorithms. Autom. 65(4): 245 (2017) - [j106]Shen Zeng, Frank Allgöwer:
Structured optimal feedback in multi-agent systems: A static output feedback perspective. Autom. 76: 214-221 (2017) - [j105]Matthias Lorenzen, Fabrizio Dabbene, Roberto Tempo, Frank Allgöwer:
Stochastic MPC with offline uncertainty sampling. Autom. 81: 176-183 (2017) - [j104]Gregor Goebel, Frank Allgöwer:
Semi-explicit MPC based on subspace clustering. Autom. 83: 309-316 (2017) - [j103]Yuyi Liu, Sujit Rajappa, Jan Maximilian Montenbruck, Paolo Stegagno, Heinrich H. Bülthoff, Frank Allgöwer, Andreas Zell:
Robust nonlinear control approach to nontrivial maneuvers and obstacle avoidance for quadrotor UAV under disturbances. Robotics Auton. Syst. 98: 317-332 (2017) - [j102]Jan Maximilian Montenbruck, Frank Allgöwer:
Structured State Feedback Controllers and Optimal Submanifold Stabilization. SIAM J. Control. Optim. 55(4): 2393-2411 (2017) - [j101]Shen Zeng, Hideaki Ishii, Frank Allgöwer:
Sampled Observability and State Estimation of Linear Discrete Ensembles. IEEE Trans. Autom. Control. 62(5): 2406-2418 (2017) - [j100]Matthias Lorenzen, Fabrizio Dabbene, Roberto Tempo, Frank Allgöwer:
Constraint-Tightening and Stability in Stochastic Model Predictive Control. IEEE Trans. Autom. Control. 62(7): 3165-3177 (2017) - [j99]Zhixing Cao, Hans-Bernd Durr, Christian Ebenbauer, Frank Allgöwer, Furong Gao:
Iterative Learning and Extremum Seeking for Repetitive Time-Varying Mappings. IEEE Trans. Autom. Control. 62(7): 3339-3353 (2017) - [j98]Jan Maximilian Montenbruck, Daniel Zelazo, Frank Allgöwer:
Fekete Points, Formation Control, and the Balancing Problem. IEEE Trans. Autom. Control. 62(10): 5069-5081 (2017) - [j97]Jan Maximilian Montenbruck, Murat Arcak, Frank Allgöwer:
An Input-Output Framework for Submanifold Stabilization. IEEE Trans. Autom. Control. 62(10): 5170-5184 (2017) - [j96]Florian David Brunner, W. P. M. H. Heemels, Frank Allgöwer:
Robust Event-Triggered MPC With Guaranteed Asymptotic Bound and Average Sampling Rate. IEEE Trans. Autom. Control. 62(11): 5694-5709 (2017) - 2016
- [j95]Frank Allgöwer:
IFAC gratuliert Boppard: Glückwünsche einer 60-Jährigen an einen 50-Jährigen. Autom. 64(2): 162-163 (2016) - [j94]Kim D. Listmann, Philipp Wenzelburger, Frank Allgöwer:
Industrie 4.0 - (R)evolution ohne Regelungstechnik? Autom. 64(7): 507-520 (2016) - [j93]Jingbo Wu, Frank Allgöwer:
Verteilte Ausgangsregelung von Multiagentensystemen mit gekoppelten Messgrößen. Autom. 64(8): 645-657 (2016) - [j92]Georg S. Seyboth, Wei Ren, Frank Allgöwer:
Cooperative control of linear multi-agent systems via distributed output regulation and transient synchronization. Autom. 68: 132-139 (2016) - [j91]Florian David Brunner, Maurice Heemels, Frank Allgöwer:
Robust self-triggered MPC for constrained linear systems: A tube-based approach. Autom. 72: 73-83 (2016) - [j90]Florian A. Bayer, Matthias Lorenzen, Matthias Albrecht Müller, Frank Allgöwer:
Robust economic Model Predictive Control using stochastic information. Autom. 74: 151-161 (2016) - [j89]Jan Maximilian Montenbruck, Frank Allgöwer:
Asymptotic stabilization of submanifolds embedded in Riemannian manifolds. Autom. 74: 349-359 (2016) - [j88]Shen Zeng, Frank Allgöwer:
A moment-based approach to ensemble controllability of linear systems. Syst. Control. Lett. 98: 49-56 (2016) - [j87]Jan Maximilian Montenbruck, Mathias Bürger, Frank Allgöwer:
Compensating Drift Vector Fields With Gradient Vector Fields for Asymptotic Submanifold Stabilization. IEEE Trans. Autom. Control. 61(2): 388-399 (2016) - [j86]Shen Zeng, Steffen Waldherr, Christian Ebenbauer, Frank Allgöwer:
Ensemble Observability of Linear Systems. IEEE Trans. Autom. Control. 61(6): 1452-1465 (2016) - 2015
- [j85]Jan Maximilian Montenbruck, Mathias Bürger, Frank Allgöwer:
Practical synchronization with diffusive couplings. Autom. 53: 235-243 (2015) - [j84]Georg S. Seyboth, Dimos V. Dimarogonas, Karl Henrik Johansson, Paolo Frasca, Frank Allgöwer:
On robust synchronization of heterogeneous linear multi-agent systems with static couplings. Autom. 53: 392-399 (2015) - [j83]Jan Maximilian Montenbruck, Mathias Bürger, Frank Allgöwer:
Synchronization of diffusively coupled systems on compact Riemannian manifolds in the presence of drift. Syst. Control. Lett. 76: 19-27 (2015) - [j82]Matthias Albrecht Müller, David Angeli, Frank Allgöwer:
On Necessity and Robustness of Dissipativity in Economic Model Predictive Control. IEEE Trans. Autom. Control. 60(6): 1671-1676 (2015) - [j81]Matthias Albrecht Müller, Daniel Liberzon, Frank Allgöwer:
Norm-Controllability of Nonlinear Systems. IEEE Trans. Autom. Control. 60(7): 1825-1840 (2015) - [j80]Jan Maximilian Montenbruck, Gerd S. Schmidt, Georg S. Seyboth, Frank Allgöwer:
On the Necessity of Diffusive Couplings in Linear Synchronization Problems With Quadratic Cost. IEEE Trans. Autom. Control. 60(11): 3029-3034 (2015) - [j79]Mathias Bürger, Claudio De Persis, Frank Allgöwer:
Dynamic Pricing Control for Constrained Distribution Networks With Storage. IEEE Trans. Control. Netw. Syst. 2(1): 88-97 (2015) - 2014
- [j78]Mathias Bürger, Daniel Zelazo, Frank Allgöwer:
Duality and network theory in passivity-based cooperative control. Autom. 50(8): 2051-2061 (2014) - [j77]Shuyou Yu, Marcus Reble, Hong Chen, Frank Allgöwer:
Inherent robustness properties of quasi-infinite horizon nonlinear model predictive control. Autom. 50(9): 2269-2280 (2014) - [j76]Matthias Albrecht Müller, David Angeli, Frank Allgöwer:
Transient average constraints in economic model predictive control. Autom. 50(11): 2943-2950 (2014) - [j75]Matthias Albrecht Müller, David Angeli, Frank Allgöwer, Rishi Amrit, James B. Rawlings:
Convergence in economic model predictive control with average constraints. Autom. 50(12): 3100-3111 (2014) - [j74]Nikolaos Athanasopoulos, Mircea Lazar, Christoph Böhm, Frank Allgöwer:
On stability and stabilization of periodic discrete-time systems with an application to satellite attitude control. Autom. 50(12): 3190-3196 (2014) - [j73]Karl Worthmann, Marcus Reble, Lars Grüne, Frank Allgöwer:
The Role of Sampling for Stability and Performance in Unconstrained Nonlinear Model Predictive Control. SIAM J. Control. Optim. 52(1): 581-605 (2014) - [j72]Mathias Bürger, Giuseppe Notarstefano, Frank Allgöwer:
A Polyhedral Approximation Framework for Convex and Robust Distributed Optimization. IEEE Trans. Autom. Control. 59(2): 384-395 (2014) - [j71]Gerd S. Schmidt, Christian Ebenbauer, Frank Allgöwer:
Output Regulation for Control Systems on SE(n): A Separation Principle Based Approach. IEEE Trans. Autom. Control. 59(11): 3057-3062 (2014) - [j70]Georg S. Seyboth, Jingbo Wu, Jiahu Qin, Changbin Yu, Frank Allgöwer:
Collective Circular Motion of Unicycle Type Vehicles With Nonidentical Constant Velocities. IEEE Trans. Control. Netw. Syst. 1(2): 167-176 (2014) - 2013
- [j69]Rainer Blind, Frank Allgöwer:
On the Optimization of the Transport Layer for Networked Control Systems. Autom. 61(7): 495-505 (2013) - [j68]Gerd S. Schmidt, Simon Michalowsky, Christian Ebenbauer, Frank Allgöwer:
Global Output Regulation for the Rotational Dynamics of a Rigid Body / Globale Ausgangsregelung für die Drehbewegung eines Starrkörpersystems. Autom. 61(8): 567-582 (2013) - [j67]Daniella Schittler, Frank Allgöwer, Rob J. De Boer:
A new model to simulate and analyze proliferating cell populations in BrdU labeling experiments. BMC Syst. Biol. 7(S-1): S4 (2013) - [j66]Matthias Albrecht Müller, David Angeli, Frank Allgöwer:
Economic model predictive control with self-tuning terminal cost. Eur. J. Control 19(5): 408-416 (2013) - [j65]Rainer Blind, Frank Allgöwer:
On time-triggered and event-based control of integrator systems over a shared communication system. Math. Control. Signals Syst. 25(4): 517-557 (2013) - [j64]Daniel Zelazo, Simone Schuler, Frank Allgöwer:
Performance and design of cycles in consensus networks. Syst. Control. Lett. 62(1): 85-96 (2013) - [j63]Shuyou Yu, Christoph Maier, Hong Chen, Frank Allgöwer:
Tube MPC scheme based on robust control invariant set with application to Lipschitz nonlinear systems. Syst. Control. Lett. 62(2): 194-200 (2013) - [j62]Daniel Zelazo, Mathias Bürger, Frank Allgöwer:
A Finite-Time Dual Method for Negotiation between Dynamical Systems. SIAM J. Control. Optim. 51(1): 172-194 (2013) - [j61]Mathias Bürger, Daniel Zelazo, Frank Allgöwer:
Hierarchical Clustering of Dynamical Networks Using a Saddle-Point Analysis. IEEE Trans. Autom. Control. 58(1): 113-124 (2013) - [j60]Peter Wieland, Jingbo Wu, Frank Allgöwer:
On Synchronous Steady States and Internal Models of Diffusively Coupled Systems. IEEE Trans. Autom. Control. 58(10): 2591-2602 (2013) - [j59]Simone Schuler, David Schlipf, Po-Wen Cheng, Frank Allgöwer:
ℓ1-Optimal Control of Large Wind Turbines. IEEE Trans. Control. Syst. Technol. 21(4): 1079-1089 (2013) - 2012
- [j58]Matthias Albrecht Müller, Frank Allgöwer:
Improving performance in model predictive control: Switching cost functionals under average dwell-time. Autom. 48(2): 402-409 (2012) - [j57]Marcus Reble, Frank Allgöwer:
Unconstrained model predictive control and suboptimality estimates for nonlinear continuous-time systems. Autom. 48(8): 1812-1817 (2012) - [j56]Mathias Bürger, Giuseppe Notarstefano, Francesco Bullo, Frank Allgöwer:
A distributed simplex algorithm for degenerate linear programs and multi-agent assignments. Autom. 48(9): 2298-2304 (2012) - [j55]Christoph Böhm, Mircea Lazar, Frank Allgöwer:
Stability of periodically time-varying systems: Periodic Lyapunov functions. Autom. 48(10): 2663-2669 (2012) - [j54]Gerd S. Schmidt, Antonis Papachristodoulou, Ulrich Münz, Frank Allgöwer:
Frequency synchronization and phase agreement in Kuramoto oscillator networks with delays. Autom. 48(12): 3008-3017 (2012) - [j53]Markus Daub, Steffen Waldherr, Frank Allgöwer, Peter Scheurich, Guido Schneider:
Death wins against life in a spatially extended model of the caspase-3/8 feedback loop. Biosyst. 108(1-3): 45-51 (2012) - [j52]Jan Hasenauer, Julian Heinrich, Malgorzata Doszczak, Peter Scheurich, Daniel Weiskopf, Frank Allgöwer:
A visual analytics approach for models of heterogeneous cell populations. EURASIP J. Bioinform. Syst. Biol. 2012: 4 (2012) - [j51]Shuyou Yu, Christoph Böhm, Hong Chen, Frank Allgöwer:
Model predictive control of constrained LPV systems. Int. J. Control 85(6): 671-683 (2012) - [j50]Ulrich Münz, Antonis Papachristodoulou, Frank Allgöwer:
Delay Robustness in Non-Identical Multi-Agent Systems. IEEE Trans. Autom. Control. 57(6): 1597-1603 (2012) - 2011
- [j49]Christoph Maier, Christoph Böhm, Frederik Deroo, Frank Allgöwer:
Predictive Control for Polynomial Systems Subject to State and Input Constraints. Autom. 59(8): 479-488 (2011) - [j48]Peter Wieland, Rodolphe Sepulchre, Frank Allgöwer:
An internal model principle is necessary and sufficient for linear output synchronization. Autom. 47(5): 1068-1074 (2011) - [j47]Frank Allgöwer, Frank J. Doyle III:
Introduction to the special issue on systems biology. Autom. 47(6): 1095-1096 (2011) - [j46]Steffen Waldherr, Frank Allgöwer:
Robust stability and instability of biochemical networks with parametric uncertainty. Autom. 47(6): 1139-1146 (2011) - [j45]Jan Hasenauer, Steffen Waldherr, Malgorzata Doszczak, Nicole Radde, Peter Scheurich, Frank Allgöwer:
Identification of models of heterogeneous cell populations from population snapshot data. BMC Bioinform. 12: 125 (2011) - [j44]Monica Schliemann, Eric Bullinger, Steffen Borchers, Frank Allgöwer, Rolf Findeisen, Peter Scheurich:
Heterogeneity reduces sensitivity of cell death for TNF-Stimuli. BMC Syst. Biol. 5: 204 (2011) - [j43]Simone Schuler, Ping Li, James Lam, Frank Allgöwer:
Design of structured dynamic output-feedback controllers for interconnected systems. Int. J. Control 84(12): 2081-2091 (2011) - [j42]Peter Wieland, Jung-Su Kim, Frank Allgöwer:
On topology and dynamics of consensus among linear high-order agents. Int. J. Syst. Sci. 42(10): 1831-1842 (2011) - [j41]Marcus Reble, Reza Mahboobi Esfanjani, Seyyed Kamaleddin Yadavar Nikravesh, Frank Allgöwer:
Model predictive control of constrained non-linear time-delay systems. IMA J. Math. Control. Inf. 28(2): 183-201 (2011) - [j40]Gregor Goebel, Ulrich Münz, Frank Allgöwer:
ℒ2-Gain-based controller design for linear systems with distributed input delay. IMA J. Math. Control. Inf. 28(2): 225-237 (2011) - [j39]Ulrich Münz, Antonis Papachristodoulou, Frank Allgöwer:
Robust Consensus Controller Design for Nonlinear Relative Degree Two Multi-Agent Systems With Communication Constraints. IEEE Trans. Autom. Control. 56(1): 145-151 (2011) - [j38]Ulrich Münz, Antonis Papachristodoulou, Frank Allgöwer:
Consensus in Multi-Agent Systems With Coupling Delays and Switching Topology. IEEE Trans. Autom. Control. 56(12): 2976-2982 (2011) - 2010
- [j37]Ulrich Münz, Antonis Papachristodoulou, Frank Allgöwer:
Robust Rendezvous of Heterogeneous Euler-Lagrange Systems on Packet-Switched Networks (Robustes Rendezvous von heterogenen Euler-Lagrange Systemen mithilfe paketvermittelnder Netzwerke). Autom. 58(4): 184-191 (2010) - [j36]Ulrich Münz, Antonis Papachristodoulou, Frank Allgöwer:
Delay robustness in consensus problems. Autom. 46(8): 1252-1265 (2010) - [j35]Steffen Waldherr, Jingbo Wu, Frank Allgöwer:
Bridging time scales in cellular decision making with a stochastic bistable switch. BMC Syst. Biol. 4: 108 (2010) - 2009
- [j34]Frank Allgöwer:
Call for Papers for a Special Issue on Systems Biology. Autom. 45(9): 1985 (2009) - [j33]David Q. Mayne, Sasa V. Rakovic, Rolf Findeisen, Frank Allgöwer:
Robust output feedback model predictive control of constrained linear systems: Time varying case. Autom. 45(9): 2082-2087 (2009) - [j32]Johannes Witt, Sandra Barisic, Eva Schumann, Frank Allgöwer, Oliver Sawodny, Thomas Sauter, Dagmar Kulms:
Mechanism of PP2A-mediated IKKβ dephosphorylation: a systems biological approach. BMC Syst. Biol. 3: 71 (2009) - [j31]Thomas Eissing, Madalena Chaves, Frank Allgöwer:
Live and let die - A systems biology view on cell death. Comput. Chem. Eng. 33(3): 583-589 (2009) - [j30]Ulrich Münz, Antonis Papachristodoulou, Frank Allgöwer:
Consensus reaching in multi-agent packet-switched networks with non-linear coupling. Int. J. Control 82(5): 953-969 (2009) - [j29]Steffen Waldherr, Frank Allgöwer:
Searching bifurcations in high-dimensional parameter space via a feedback loop breaking approach. Int. J. Syst. Sci. 40(7): 769-782 (2009) - [j28]Tobias Schweickhardt, Frank Allgöwer:
On System Gains, Nonlinearity Measures, and Linear Models for Nonlinear Systems. IEEE Trans. Autom. Control. 54(1): 62-78 (2009) - [j27]Ulrich Münz, Christian Ebenbauer, Thomas Haag, Frank Allgöwer:
Stability Analysis of Time-Delay Systems With Incommensurate Delays Using Positive Polynomials. IEEE Trans. Autom. Control. 54(5): 1019-1024 (2009) - 2008
- [j26]Rainer Blind, Ulrich Münz, Frank Allgöwer:
Modeling, Analysis, and Design of Networked Control Systems using Jump Linear Systems (Modellierung, Analyse und Entwurf vernetzter Regelsysteme mithilfe schaltender Systeme). Autom. 56(1): 20-28 (2008) - [j25]Steffen Waldherr, Thomas Eissing, Frank Allgöwer:
Rückkopplungen im Leben und Sterben einer Zelle: Ansätze zur systemtheoretischen Analyse (Feedback during Life and Death of a Cell: Approaches for Systems Theoretical Analysis). Autom. 56(5): 233-240 (2008) - [j24]Jochen M. Rieber, Carsten W. Scherer, Frank Allgöwer:
Robust ℓ1 performance analysis for linear systems with parametric uncertainties. Int. J. Control 81(5): 851-864 (2008) - [j23]Madalena Chaves, Thomas Eissing, Frank Allgöwer:
Bistable Biological Systems: A Characterization Through Local Compact Input-to-State Stability. IEEE Trans. Autom. Control. 53: 87-100 (2008) - [j22]Christian Ebenbauer, Frank Allgöwer:
A Dissipation Inequality for the Minimum Phase Property. IEEE Trans. Autom. Control. 53(3): 821-826 (2008) - 2007
- [j21]Frank Allgöwer, Georg Bretthauer, Ulrich Konigorski, Olaf Stursberg:
Theorie der Automatisierungstechnik. Autom. 55(5): 256-259 (2007) - [j20]Thomas Eißing, Steffen Waldherr, Frank Allgöwer, Peter Scheurich, Eric Bullinger:
Steady state and (bi-) stability evaluation of simple protease signalling networks. Biosyst. 90(3): 591-601 (2007) - [j19]Renato Lepore, Alain Vande Wouwer, Marcel Remy, Rolf Findeisen, Zoltán K. Nagy, Frank Allgöwer:
Optimization strategies for a MMA polymerization reactor. Comput. Chem. Eng. 31(4): 281-291 (2007) - [j18]Jochen Assfalg, Frank Allgöwer:
Fault diagnosis of nonlinear systems using structured augmented state models. Int. J. Autom. Comput. 4(2): 141-148 (2007) - [j17]Christian Ebenbauer, Frank Allgöwer:
Stability analysis of constrained control systems: An alternative approach. Syst. Control. Lett. 56(2): 93-98 (2007) - [j16]Christian Ebenbauer, Tobias Raff, Frank Allgöwer:
Certainty-Equivalence Feedback Design With Polynomial-Type Feedbacks Which Guarantee ISS. IEEE Trans. Autom. Control. 52(4): 716-720 (2007) - [j15]Ulrich Münz, Peter Schumm, Andreas Wiesebrock, Frank Allgöwer:
Motivation and Learning Progress Through Educational Games. IEEE Trans. Ind. Electron. 54(6): 3141-3144 (2007) - 2006
- [j14]Ruth Bars, Patrizio Colaneri, Carlos E. de Souza, Luc Dugard, Frank Allgöwer, Anatolii F. Kleimenov, Carsten W. Scherer:
Theory, algorithms and technology in the design of control systems. Annu. Rev. Control. 30(1): 19-30 (2006) - [j13]Jochen M. Rieber, Frank Allgöwer:
From H∞ Control to Multiobjective Control: An Overview (Von der H∞-Regelung zur Mehrziel-Regelung: ein Überblick). Autom. 54(9): 437-449 (2006) - [j12]David Q. Mayne, Sasa V. Rakovic, Rolf Findeisen, Frank Allgöwer:
Robust output feedback model predictive control of constrained linear systems. Autom. 42(7): 1217-1222 (2006) - [j11]Christian Ebenbauer, Frank Allgöwer:
Analysis and design of polynomial control systems using dissipation inequalities and sum of squares. Comput. Chem. Eng. 30(10-12): 1590-1602 (2006) - [j10]Weidong Zhang, Frank Allgöwer, Tao Liu:
Controller parameterization for SISO and MIMO plants with time delay. Syst. Control. Lett. 55(10): 794-802 (2006) - 2005
- [j9]Frank Allgöwer:
Methoden und Grundlagen der Automatisierungstechnik in der GMA-Arbeit (Methods and Foundations of Automation Technology: A Report about the Activities within the VDI/VDE Society for Measurement and Automatic Control (GMA)). Autom. 53(4-5): 159-161 (2005) - [j8]Christian Ebenbauer, Tobias Raff, Frank Allgöwer:
Passivity-based Feedback Design for Polynomial Control Systems (Passivitätsbasierter Reglerentwurf für polynomiale Systeme). Autom. 53(8): 356-366 (2005) - [j7]Eric Bullinger, Frank Allgöwer:
Adaptive lambda-tracking for nonlinear higher relative degree systems. Autom. 41(7): 1191-1200 (2005) - [j6]Andreas Stemmer, Georg Schitter, Jochen M. Rieber, Frank Allgöwer:
Control Strategies Towards Faster Quantitative Imaging in Atomic Force Microscopy. Eur. J. Control 11(4-5): 384-395 (2005) - 2003
- [j5]Rolf Findeisen, Lars Imsland, Frank Allgöwer:
State and Output Feedback Nonlinear Model Predictive Control: An Overview. Eur. J. Control 9(2-3): 190-206 (2003) - [j4]Michael Ederer, Thomas Sauter, Eric Bullinger, Ernst Dieter Gilles, Frank Allgöwer:
An Approach for Dividing Models of Biological Reaction Networks into Functional Units. Simul. 79(12): 703-716 (2003) - 1998
- [j3]Hong Chen, Frank Allgöwer:
rank Quasi-Infinite Horizon Nonlinear Model Predictive Control Scheme with Guaranteed Stability. Autom. 34(10): 1205-1217 (1998) - 1997
- [j2]Frank Allgöwer, Jon Ashman, Achim Ilchmann:
High-gain adaptive λ-tracking for nonlinear systems. Autom. 33(5): 881-888 (1997) - 1996
- [j1]Francis J. Doyle III, Frank Allgöwer, Manfred Morari:
A normal form approach to approximate input-output linearization for maximum phase nonlinear SISO systems. IEEE Trans. Autom. Control. 41(2): 305-309 (1996)
Conference and Workshop Papers
- 2024
- [c264]Yifan Xie, Julian Berberich, Frank Allgöwer:
Data-Driven Min-Max MPC for Linear Systems. ACC 2024: 3184-3189 - [c263]Michael Hertneck, Alejandro I. Maass, Dragan Nesic, Frank Allgöwer:
An Lp-norm framework for event-triggered control. ECC 2024: 2818-2824 - [c262]Patricia Pauli, Aaron J. Havens, Alexandre Araujo, Siddharth Garg, Farshad Khorrami, Frank Allgöwer, Bin Hu:
Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations. ICLR 2024 - 2023
- [c261]Julian Berberich, Andrea Iannelli, Alberto Padoan, Jeremy Coulson, Florian Dörfler, Frank Allgöwer:
A quantitative and constructive proof of Willems' Fundamental Lemma and its implications. ACC 2023: 4155-4160 - [c260]David Meister, Frank Allgöwer:
Performance Implications of Different p-Norms in Level-Triggered Sampling. CDC 2023: 3878-3883 - [c259]Duarte J. Antunes, David Meister, Toru Namerikawa, Frank Allgöwer, W. P. M. H. Heemels:
Consistent Event-Triggered Consensus on Complete Graphs. CDC 2023: 3911-3916 - [c258]Robin Strässer, Julian Berberich, Frank Allgöwer:
Control of Bilinear Systems Using Gain-Scheduling: Stability and Performance Guarantees. CDC 2023: 4674-4681 - [c257]Patricia Pauli, Ruigang Wang, Ian R. Manchester, Frank Allgöwer:
Lipschitz-Bounded 1D Convolutional Neural Networks using the Cayley Transform and the Controllability Gramian. CDC 2023: 5345-5350 - [c256]Henning Schlüter, Frank Allgöwer:
Stochastic Model Predictive Control Using Initial State and Variance Interpolation. CDC 2023: 6700-6706 - [c255]Dominik Rösch, Felix Berkel, Martin Löhning, Maximilian Manderla, Raffaele Soloperto, Frank Allgöwer:
A Predictive Safety Filter for Safe Learning of Optimal Operation of Permanent Magnet Synchronous Motors. ECC 2023: 1-6 - [c254]Patricia Pauli, Dennis Gramlich, Frank Allgöwer:
Lipschitz constant estimation for 1D convolutional neural networks. L4DC 2023: 1321-1332 - [c253]Robin Laidig, Frank Dürr, Kurt Rothermel, Stefan Wildhagen, Frank Allgöwer:
Dynamic Deterministic Quality of Service Model with Behavior-Adaptive Latency Bounds. RTCSA 2023: 127-136 - 2022
- [c252]Tim Martin, Frank Allgöwer:
Determining dissipativity for nonlinear systems from noisy data using Taylor polynomial approximation. ACC 2022: 1432-1437 - [c251]David Meister, Frank Aurzada, Mikhail A. Lifshits, Frank Allgöwer:
Analysis of Time- versus Event-Triggered Consensus for a Single-Integrator Multi-Agent System*. CDC 2022: 441-446 - [c250]Julian Berberich, Johannes Köhler, Matthias Albrecht Müller, Frank Allgöwer:
Stability in data-driven MPC: an inherent robustness perspective. CDC 2022: 1105-1110 - [c249]Daniel Müller, Justinus Feilhauer, Jennifer Wickert, Julian Berberich, Frank Allgöwer, Oliver Sawodny:
Data-Driven Predictive Disturbance Observer for Quasi Continuum Manipulators. CDC 2022: 1816-1822 - [c248]Patricia Pauli, Niklas Funcke, Dennis Gramlich, Mohamed Amine Msalmi, Frank Allgöwer:
Neural network training under semidefinite constraints. CDC 2022: 2731-2736 - [c247]Stefan Wildhagen, Matthias Pezzutto, Luca Schenato, Frank Allgöwer:
Self-triggered MPC robust to bounded packet loss via a min-max approach*. CDC 2022: 7670-7675 - [c246]Ross Drummond, Stephen Duncan, Mathew Turner, Patricia Pauli, Frank Allgöwer:
Bounding the Difference Between Model Predictive Control and Neural Networks. L4DC 2022: 817-829 - 2021
- [c245]Patricia Pauli, Anne Koch, Julian Berberich, Paul Kohler, Frank Allgöwer:
Training Robust Neural Networks Using Lipschitz Bounds. ACC 2021: 2595-2600 - [c244]Tim Martin, Frank Allgöwer:
Dissipativity verification with guarantees for polynomial systems from noisy input-state data. ACC 2021: 3963-3968 - [c243]Michael Hertneck, Frank Allgöwer:
Dynamic self-triggered control for nonlinear systems based on hybrid Lyapunov functions. CDC 2021: 533-539 - [c242]Mohammad Alsalti, Julian Berberich, Victor G. Lopez, Frank Allgöwer, Matthias A. Müller:
Data-Based System Analysis and Control of Flat Nonlinear Systems. CDC 2021: 1484-1489 - [c241]Patricia Pauli, Dennis Gramlich, Julian Berberich, Frank Allgöwer:
Linear systems with neural network nonlinearities: Improved stability analysis via acausal Zames-Falb multipliers. CDC 2021: 3611-3618 - [c240]Robin Strässer, Julian Berberich, Frank Allgöwer:
Data-Driven Control of Nonlinear Systems: Beyond Polynomial Dynamics. CDC 2021: 4344-4351 - [c239]Sebastian Schlor, Michael Hertneck, Stefan Wildhagen, Frank Allgöwer:
Multi-party computation enables secure polynomial control based solely on secret-sharing. CDC 2021: 4882-4887 - [c238]Stefan Wildhagen, Julian Berberich, Matthias Hirche, Frank Allgöwer:
Improved stability conditions for systems under aperiodic sampling: model- and data-based analysis. CDC 2021: 5795-5801 - [c237]Amr Alanwar, Anne Koch, Frank Allgöwer, Karl Henrik Johansson:
Data-Driven Reachability Analysis Using Matrix Zonotopes. L4DC 2021: 163-175 - [c236]Nils Wieler, Julian Berberich, Anne Koch, Frank Allgöwer:
Data-Driven Controller Design via Finite-Horizon Dissipativity. L4DC 2021: 287-298 - [c235]Patricia Pauli, Johannes Köhler, Julian Berberich, Anne Koch, Frank Allgöwer:
Offset-free setpoint tracking using neural network controllers. L4DC 2021: 992-1003 - 2020
- [c234]Julian Berberich, Anne Koch, Carsten W. Scherer, Frank Allgöwer:
Robust data-driven state-feedback design. ACC 2020: 1532-1538 - [c233]Stefan Wildhagen, Frank Allgöwer:
Scheduling and control over networks using MPC with time-varying terminal ingredients. ACC 2020: 1913-1918 - [c232]Anne Koch, Julian Berberich, Frank Allgöwer:
Verifying dissipativity properties from noise-corrupted input-state data. CDC 2020: 616-621 - [c231]Ying Zhao Lian, Stefan Wildhagen, Yuning Jiang, Boris Houska, Frank Allgöwer, Colin N. Jones:
Resource-Aware Asynchronous Multi-Agent Coordination via Self-Triggered MPC. CDC 2020: 685-690 - [c230]Lukas Schwenkel, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Dynamic uncertainties in model predictive control: guaranteed stability for constrained linear systems. CDC 2020: 1235-1241 - [c229]Matthias Hirche, Philipp N. Köhler, Matthias A. Müller, Frank Allgöwer:
Distributed Model Predictive Control for Consensus of Constrained Heterogeneous Linear Systems. CDC 2020: 1248-1253 - [c228]Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Robust Constraint Satisfaction in Data-Driven MPC. CDC 2020: 1260-1267 - [c227]Janani Venkatasubramanian, Johannes Köhler, Julian Berberich, Frank Allgöwer:
Robust Dual Control based on Gain Scheduling. CDC 2020: 2270-2277 - [c226]Stefan Wildhagen, Frank Allgöwer:
Rollout scheduling and control for disturbed systems via tube MPC. CDC 2020: 3145-3150 - [c225]Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Implicit solutions to constrained nonlinear output regulation using MPC. CDC 2020: 4604-4609 - [c224]Tim Martin, Frank Allgöwer:
Iterative data-driven inference of nonlinearity measures via successive graph approximation. CDC 2020: 4760-4765 - [c223]Michael Hertneck, Frank Allgöwer:
Exploiting Information for Decentralized Periodic Event-Triggered Control. CDC 2020: 4999-5004 - [c222]Julian Berberich, Frank Allgöwer:
A trajectory-based framework for data-driven system analysis and control. ECC 2020: 1365-1370 - [c221]Michael Hertneck, Steffen Linsenmayer, Frank Allgöwer:
Model-Based Nonlinear Periodic Event-Triggered Control for Continuous-Time Systems with Sampled-Data Prediction. ECC 2020: 1814-1819 - 2019
- [c220]Tim Martin, Philipp N. Köhler, Frank Allgöwer:
Dissipativity and Economic Model Predictive Control for Optimal Set Operation. ACC 2019: 1020-1026 - [c219]Steffen Linsenmayer, Ben W. Carabelli, Frank Dürr, Jonathan Falk, Frank Allgöwer, Kurt Rothermel:
Integration of Communication Networks and Control Systems Using a Slotted Transmission Classification Model. CCNC 2019: 1-6 - [c218]Julian Berberich, Mario Sznaier, Frank Allgöwer:
Signal Estimation and System Identification With Nonlinear Dynamic Sensors. CCTA 2019: 505-510 - [c217]Raffaele Soloperto, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Dual Adaptive MPC for output tracking of linear systems. CDC 2019: 1377-1382 - [c216]Johannes Köhler, Elisa Andina, Raffaele Soloperto, Matthias A. Müller, Frank Allgöwer:
Linear robust adaptive model predictive control: Computational complexity and conservatism. CDC 2019: 1383-1388 - [c215]Michael Hertneck, Steffen Linsenmayer, Frank Allgöwer:
Nonlinear Dynamic Periodic Event-Triggered Control with Robustness to Packet Loss Based on Non-Monotonic Lyapunov Functions. CDC 2019: 1680-1685 - [c214]Tim Martin, Frank Allgöwer:
Nonlinearity measures for data-driven system analysis and control. CDC 2019: 3605-3610 - [c213]Philipp N. Köhler, Matthias A. Müller, Frank Allgöwer:
Graph topology and subsystem centrality in approximately dissipative system interconnections. CDC 2019: 7441-7447 - [c212]Marko Nonhoff, Philipp N. Köhler, Anna M. Kohl, Kristin Ytterstad Pettersen, Frank Allgöwer:
Economic model predictive control for snake robot locomotion. CDC 2019: 8329-8334 - [c211]Anne Romer, Sebastian Trimpe, Frank Allgöwer:
Data-driven inference of passivity properties via Gaussian process optimization. ECC 2019: 29-35 - [c210]Philipp N. Köhler, Matthias A. Müller, Frank Allgöwer:
Approximate dissipativity and performance bounds for interconnected systems. ECC 2019: 787-792 - [c209]Johannes Köhler, Frank Allgöwer, Matthias A. Müller:
A simple framework for nonlinear robust output-feedback MPC. ECC 2019: 793-798 - [c208]Raffaele Soloperto, Johannes Köhler, Frank Allgöwer, Matthias A. Müller:
Collision avoidance for uncertain nonlinear systems with moving obstacles using robust Model Predictive Control. ECC 2019: 811-817 - [c207]Wolfgang Halter, Simon Michalowsky, Frank Allgöwer:
Extremum seeking for optimal enzyme production under cellular fitness constraints. ECC 2019: 2159-2164 - 2018
- [c206]Richard D. Braatz, Jordan M. Berg, Zongli Lin, Frank Allgöwer:
Welcome to the ACC2018. ACC 2018: 1-5 - [c205]Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
A novel constraint tightening approach for nonlinear robust model predictive control. ACC 2018: 728-734 - [c204]Johannes Köhler, Chinwendu Enyioha, Frank Allgöwer:
Dynamic Resource Allocation to Control Epidemic Outbreaks A Model Predictive Control Approach. ACC 2018: 1546-1551 - [c203]Anne Romer, Jan Maximilian Montenbruck, Frank Allgöwer:
Some Ideas on Sampling Strategies for Data-Driven Inference of Passivity Properties for MIMO Systems. ACC 2018: 6094-6100 - [c202]Wolfgang Halter, Frank Allgöwer, Richard M. Murray, András György:
Optimal Experiment Design and Leveraging Competition for Shared Resources in Cell-Free Extracts. CDC 2018: 1872-1879 - [c201]Kim Peter Wabersich, Florian A. Bayer, Matthias Albrecht Müller, Frank Allgöwer:
Economic Model Predictive Control for Robust Periodic Operation with Guaranteed Closed-Loop Performance. ECC 2018: 507-513 - [c200]Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Nonlinear Reference Tracking with Model Predictive Control: An Intuitive Approach. ECC 2018: 1355-1360 - [c199]Steffen Linsenmayer, Frank Allgöwer:
Performance oriented triggering mechanisms with guaranteed traffic characterization for linear discrete-time systems. ECC 2018: 1474-1479 - 2017
- [c198]Jan Maximilian Montenbruck, Shen Zeng, Frank Allgöwer:
Linear systems with quadratic outputs. ACC 2017: 1030-1034 - [c197]Matthias Lorenzen, Matthias Albrecht Müller, Frank Allgöwer:
Stabilizing stochastic MPC without terminal constraints. ACC 2017: 5636-5641 - [c196]Wolfgang Halter, Jan Maximilian Montenbruck, Frank Allgöwer:
Systems with integral resource consumption. CDC 2017: 2667-2673 - [c195]Jan Maximilian Montenbruck, Frank Allgöwer:
Separable matrices and minimum complexity controllers. CDC 2017: 4187-4192 - [c194]Martina Mammarella, Elisa Capello, Matthias Lorenzen, Fabrizio Dabbene, Frank Allgöwer:
A general sampling-based SMPC approach to spacecraft proximity operations. CDC 2017: 4521-4526 - [c193]Steffen Linsenmayer, Frank Allgöwer:
Stabilization of networked control systems with weakly hard real-time dropout description. CDC 2017: 4765-4770 - [c192]Philipp N. Köhler, Matthias Albrecht Müller, Frank Allgöwer:
Transient performance of economic model predictive control with average constraints. CDC 2017: 5557-5562 - [c191]Johannes Köhler, Matthias A. Müller, Na Li, Frank Allgöwer:
Real time economic dispatch for power networks: A distributed economic model predictive control approach. CDC 2017: 6340-6345 - [c190]Anne Romer, Jan Maximilian Montenbruck, Frank Allgöwer:
Sampling strategies for data-driven inference of passivity properties. CDC 2017: 6389-6394 - 2016
- [c189]Jan Maximilian Montenbruck, Shen Zeng, Frank Allgöwer:
On the observability properties of systems with rolling shutter. Allerton 2016: 786-791 - [c188]Philipp N. Köhler, Matthias Albrecht Müller, Frank Allgöwer:
A distributed economic MPC scheme for coordination of self-interested systems. ACC 2016: 889-894 - [c187]Jingbo Wu, Valery A. Ugrinovskii, Frank Allgöwer:
Observer-based synchronization with relative measurements and unknown neighbour models. AuCC 2016: 174-179 - [c186]Steffen Linsenmayer, Dimos V. Dimarogonas, Frank Allgöwer:
A non-monotonic approach to periodic event-triggered control with packet loss. CDC 2016: 507-512 - [c185]Simon K. Niederländer, Frank Allgöwer, Jorge Cortés:
Exponentially fast distributed coordination for nonsmooth convex optimization. CDC 2016: 1036-1041 - [c184]Florian David Brunner, W. P. M. H. Heemels, Frank Allgöwer:
γ-invasive event-triggered and self-triggered control for perturbed linear systems. CDC 2016: 1346-1351 - [c183]Jan Maximilian Montenbruck, Frank Allgöwer:
Input-output control of composite systems. CDC 2016: 1834-1839 - [c182]Florian David Brunner, Matthias Albrecht Müller, Frank Allgöwer:
Enhancing output feedback MPC for linear discrete-time systems with set-valued moving horizon estimation. CDC 2016: 2733-2738 - [c181]Florian A. Bayer, Matthias Albrecht Müller, Frank Allgöwer:
Min-max economic model predictive control approaches with guaranteed performance. CDC 2016: 3210-3215 - [c180]Shen Zeng, Frank Allgöwer:
A general sampled observability result and its applications. CDC 2016: 3997-4002 - [c179]Florian A. Bayer, Florian David Brunner, Mircea Lazar, Marc Wijnand, Frank Allgöwer:
A tube-based approach to nonlinear explicit MPC. CDC 2016: 4059-4064 - [c178]Florian David Brunner, Florian A. Bayer, Frank Allgöwer:
Robust steady state optimization for polytopic systems. CDC 2016: 4084-4089 - [c177]Shen Zeng, Frank Allgöwer:
On the moment dynamics of discrete measures. CDC 2016: 4901-4906 - [c176]Jan Maximilian Montenbruck, Frank Allgöwer:
Some problems arising in controller design from big data via input-output methods. CDC 2016: 6525-6530 - [c175]Ivano Notarnicola, Florian A. Bayer, Giuseppe Notarstefano, Frank Allgöwer:
Final-state constrained optimal control via a projection operator approach. ECC 2016: 148-153 - [c174]F. D. Brunne, W. P. M. H. Heemels, Frank Allgöwer:
Dynamic thresholds in robust event-triggered control for discrete-time linear systems. ECC 2016: 923-988 - [c173]Emre Aydiner, Matthias Albrecht Müller, Frank Allgöwer:
Periodic reference tracking for nonlinear systems via model predictive control. ECC 2016: 2602-2607 - 2015
- [c172]Jingbo Wu, Li Li, Valery A. Ugrinovskii, Frank Allgöwer:
Distributed filter design for cooperative H∞-type estimation. CCA 2015: 1373-1378 - [c171]Georg S. Seyboth, Frank Allgöwer:
Output synchronization of linear multi-agent systems under constant disturbances via distributed integral action. ACC 2015: 62-67 - [c170]Jan Maximilian Montenbruck, Mathias Bürger, Frank Allgöwer:
Navigation and obstacle avoidance via backstepping for mechanical systems with drift in the closed loop. ACC 2015: 625-630 - [c169]Matthias Lorenzen, Frank Allgöwer, Fabrizio Dabbene, Roberto Tempo:
An improved constraint-tightening approach for Stochastic MPC. ACC 2015: 944-949 - [c168]Jingbo Wu, Valery A. Ugrinovskii, Frank Allgöwer:
Cooperative ℋ∞-estimation for large-scale interconnected linear systems. ACC 2015: 2119-2124 - [c167]Shen Zeng, Hideaki Ishii, Frank Allgöwer:
On the state estimation problem for discrete ensembles from discrete-time output snapshots. ACC 2015: 4844-4849 - [c166]Jan Maximilian Montenbruck, Daniel Zelazo, Frank Allgöwer:
Retraction balancing and formation control. CDC 2015: 3645-3650 - [c165]Jan Maximilian Montenbruck, Murat Arcak, Frank Allgöwer:
Stabilizing submanifolds with passive input-output relations. CDC 2015: 4381-4387 - [c164]Matthias Lorenzen, Frank Allgöwer, Fabrizio Dabbene, Roberto Tempo:
Scenario-based Stochastic MPC with guaranteed recursive feasibility. CDC 2015: 4958-4963 - [c163]Karl Worthmann, Marcus Reble, Lars Grüne, Frank Allgöwer:
Unconstrained nonlinear MPC: Performance estimates for sampled-data systems with zero order hold. CDC 2015: 4971-4976 - [c162]Florian David Brunner, T. M. P. Gommans, W. P. M. H. Heemels, Frank Allgöwer:
Resource-aware set-valued estimation for discrete-time linear systems. CDC 2015: 5480-5486 - [c161]Shen Zeng, Hideaki Ishii, Frank Allgöwer:
Sampled observability of discrete heterogeneous ensembles from anonymized output measurements. CDC 2015: 5683-5688 - [c160]Shen Zeng, Frank Allgöwer:
On the ensemble observability problem for nonlinear systems. CDC 2015: 6318-6323 - [c159]Rainer Blind, Frank Allgöwer:
Towards Networked Control Systems with guaranteed stability: Using weakly hard real-time constraints to model the loss process. CDC 2015: 7510-7515 - [c158]Jan Maximilian Montenbruck, Alexander Birk, Frank Allgöwer:
A convex conic underestimate of Laplacian spectra and its application to network synthesis. ECC 2015: 563-568 - [c157]Emre Aydiner, Florian David Brunner, W. P. M. H. Heemels, Frank Allgöwer:
Robust self-triggered model predictive control for constrained discrete-time LTI systems based on homothetic tubes. ECC 2015: 1587-1593 - [c156]Yuyi Liu, Jan Maximilian Montenbruck, Paolo Stegagno, Frank Allgöwer, Andreas Zell:
A robust nonlinear controller for nontrivial quadrotor maneuvers: Approach and verification. IROS 2015: 5410-5416 - [c155]Wolfgang Halter, Nico Kress, Konrad Otte, Sabrina Reich, Bernhard Hauer, Frank Allgöwer:
Yield-Analysis of Different Coupling Schemes for Interconnected Bio-Reactors. SIAM Conf. on Control and its Applications 2015: 384-391 - 2014
- [c154]Matthias Albrecht Müller, David Angeli, Frank Allgöwer:
Performance analysis of economic MPC with self-tuning terminal cost. ACC 2014: 2845-2850 - [c153]Gregor Goebel, Frank Allgöwer:
Improved state dependent parametrizations including a piecewise linear feedback for constrained linear MPC. ACC 2014: 4192-4197 - [c152]Shen Zeng, Steffen Waldherr, Frank Allgöwer:
An inverse problem of tomographic type in population dynamics. CDC 2014: 1643-1648 - [c151]Fatemeh Jahangiri, Heidar Ali Talebi, Mohammad Bagher Menhaj, Christian Ebenbauer, Frank Allgöwer:
A new method for finding minimum phase outputs. CDC 2014: 3192-3196 - [c150]Gregor Goebel, Frank Allgöwer:
Increasing performance of parametrizations for linear MPC via application of a data mining algorithm. CDC 2014: 4932-4937 - [c149]Florian A. Bayer, Frank Allgöwer:
Robust economic model predictive control with linear average constraints. CDC 2014: 6707-6712 - [c148]Florian David Brunner, W. P. M. H. Heemels, Frank Allgöwer:
Robust self-triggered MPC for constrained linear systems. ECC 2014: 472-477 - [c147]Florian David Brunner, Mircea Lazar, Frank Allgöwer:
Computation of piecewise affine terminal cost functions for model predictive control. HSCC 2014: 1-10 - 2013
- [c146]Matthias Albrecht Müller, David Angeli, Frank Allgöwer:
On convergence of averagely constrained economic MPC and necessity of dissipativity for optimal steady-state operation. ACC 2013: 3141-3146 - [c145]Rainer Blind, Frank Allgöwer:
Retransmitting lost measurements to improve remote estimation. ACC 2013: 4148-4152 - [c144]Gerd S. Schmidt, Christian Ebenbauer, Frank Allgöwer:
Output regulation for attitude control: A global approach. ACC 2013: 5251-5256 - [c143]Jan Maximilian Montenbruck, Mathias Bürger, Frank Allgöwer:
Practical cluster synchronization of heterogeneous systems on graphs with acyclic topology. CDC 2013: 692-697 - [c142]Christian Breindl, Madalena Chaves, Frank Allgöwer:
A linear reformulation of Boolean optimization problems and structure identification of gene regulation networks. CDC 2013: 733-738 - [c141]Matthias Albrecht Müller, David Angeli, Frank Allgöwer:
Economic model predictive control with transient average constraints. CDC 2013: 5119-5124 - [c140]Jingbo Wu, Jiahu Qin, Changbin Yu, Frank Allgöwer:
Leaderless synchronization of linear multi-agent systems under directed switching topologies: An invariance approach. CDC 2013: 6043-6048 - [c139]Georg S. Seyboth, Frank Allgöwer:
Clock synchronization over directed graphs. CDC 2013: 6105-6111 - [c138]Florian A. Bayer, Giuseppe Notarstefano, Frank Allgöwer:
A projected SQP method for nonlinear optimal control with quadratic convergence. CDC 2013: 6463-6468 - [c137]Gregor Goebel, Frank Allgöwer:
Obtaining and employing state dependent parametrizations of prespecified complexity in constrained MPC. CDC 2013: 7077-7082 - [c136]Florian David Brunner, Mircea Lazar, Frank Allgöwer:
An explicit solution to constrained stabilization via polytopic tubes. CDC 2013: 7721-7727 - [c135]Florian David Brunner, Mircea Lazar, Frank Allgöwer:
Stabilizing linear model predictive control: On the enlargement of the terminal set. ECC 2013: 511-517 - [c134]Simone Schuler, Daniel Zelazo, Frank Allgöwer:
Robust design of sparse relative sensing networks. ECC 2013: 1860-1865 - [c133]Matthias Albrecht Müller, David Angeli, Frank Allgöwer:
Economic model predictive control with self-tuning terminal weight. ECC 2013: 2044-2049 - [c132]Florian A. Bayer, Mathias Bürger, Frank Allgöwer:
Discrete-time Incremental ISS: A framework for Robust NMPC. ECC 2013: 2068-2073 - [c131]Mathias Bürger, Giuseppe Notarstefano, Frank Allgöwer:
From non-cooperative to cooperative distributed MPC: A simplicial approximation perspective. ECC 2013: 2795-2800 - [c130]Daniella Schittler, Frank Allgöwer, Steffen Waldherr:
Multistability equivalence between gene regulatory networks of different dimensionality. ECC 2013: 3640-3645 - [c129]Matthias Albrecht Müller, Daniel Liberzon, Frank Allgöwer:
Norm-Controllability, or How a Nonlinear System Responds to Large Inputs. NOLCOS 2013: 104-109 - [c128]Jan Maximilian Montenbruck, Georg S. Seyboth, Frank Allgöwer:
Practical and Robust Synchronization of Systems with Additive Linear Uncertainties. NOLCOS 2013: 743-748 - [c127]Nikolaos Athanasopoulos, Mircea Lazar, Christoph Böhm, Frank Allgöwer:
Constrained Stabilization of Periodic Discrete-Time Systems Via Periodic Lyapunov Functions. PSYCO 2013: 17-22 - 2012
- [c126]Mathias Bürger, Daniel Zelazo, Frank Allgöwer:
Combinatorial insights and robustness analysis for clustering in dynamical networks. ACC 2012: 454-459 - [c125]Marcus Reble, Daniel E. Quevedo, Frank Allgöwer:
A unifying framework for stability in MPC using a generalized integral terminal cost. ACC 2012: 1211-1216 - [c124]Gerd S. Schmidt, Christian Ebenbauer, Frank Allgöwer:
A solution for a class of output regulation problems on SO(n). ACC 2012: 1773-1779 - [c123]Georg S. Seyboth, Gerd S. Schmidt, Frank Allgöwer:
Cooperative control of linear parameter-varying systems. ACC 2012: 2407-2412 - [c122]Daniel Zelazo, Frank Allgöwer:
Growing optimally rigid formations. ACC 2012: 3901-3906 - [c121]Corinna Vehlow, Jan Hasenauer, Andrei Kramer, Julian Heinrich, Nicole Radde, Frank Allgöwer, Daniel Weiskopf:
Uncertainty-aware visual analysis of biochemical reaction networks. BioVis 2012: 91-98 - [c120]Matthias Albrecht Müller, Daniel Liberzon, Frank Allgöwer:
Relaxed conditions for norm-controllability of nonlinear systems. CDC 2012: 314-319 - [c119]Matthias Albrecht Müller, Frank Allgöwer:
Robustness of steady-state optimality in economic model predictive control. CDC 2012: 1011-1016 - [c118]Rainer Blind, Frank Allgöwer:
Is it worth to retransmit lost packets in Networked Control Systems? CDC 2012: 1368-1373 - [c117]Marcus Reble, Daniel E. Quevedo, Frank Allgöwer:
Improved stability conditions for unconstrained nonlinear model predictive control by using additional weighting terms. CDC 2012: 2625-2630 - [c116]Simone Schuler, Daniel Zelazo, Frank Allgöwer:
Design of sparse relative sensing networks. CDC 2012: 2749-2754 - [c115]Shuyou Yu, Christoph Maier, Hong Chen, Frank Allgöwer:
Terminal set of min-max model predictive control with guaranteed ℒ2 performance. CDC 2012: 3264-3269 - [c114]Ben W. Carabelli, Andreas Benzing, Frank Dürr, Boris Koldehofe, Kurt Rothermel, Georg S. Seyboth, Rainer Blind, Mathias Bürger, Frank Allgöwer:
Exact convex formulations of network-oriented optimal operator placement. CDC 2012: 3777-3782 - [c113]Daniel Zelazo, Simone Schuler, Frank Allgöwer:
Cycles and sparse design of consensus networks. CDC 2012: 3808-3813 - [c112]Daniel Zelazo, Frank Allgöwer:
Eulerian consensus networks. CDC 2012: 4715-4720 - [c111]Georg S. Seyboth, Gerd S. Schmidt, Frank Allgöwer:
Output synchronization of linear parameter-varying systems via dynamic couplings. CDC 2012: 5128-5133 - [c110]Steffen Waldherr, Frank Allgöwer:
Network-level dynamics of diffusively coupled cells. CDC 2012: 5517-5522 - [c109]Jingbo Wu, Frank Allgöwer:
A constructive approach to Synchronization using relative information. CDC 2012: 5960-5965 - [c108]Rainer Blind, Frank Allgöwer:
The performance of event-based control for scalar systems with packet losses. CDC 2012: 6572-6576 - [c107]Mathias Bürger, Giuseppe Notarstefano, Frank Allgöwer:
Distributed robust optimization via Cutting-Plane Consensus. CDC 2012: 7457-7463 - [c106]Daniel Zelazo, Antonio Franchi, Frank Allgöwer, Heinrich H. Bülthoff, Paolo Robuffo Giordano:
Rigidity Maintenance Control for Multi-Robot Systems. Robotics: Science and Systems 2012 - 2011
- [c105]Mathias Bürger, Giuseppe Notarstefano, Frank Allgöwer, Francesco Bullo:
A distributed simplex algorithm and the multi-agent assignment problem. ACC 2011: 2639-2644 - [c104]Frederik Deroo, Christoph Maier, Christoph Böhm, Frank Allgöwer:
Offline NMPC for continuous-time systems using sum of squares. ACC 2011: 5163-5168 - [c103]Matthias A. Müller, Frank Allgöwer:
Model predictive control of switched nonlinear systems under average dwell-time. ACC 2011: 5169-5174 - [c102]Kenji Kashima, Antonis Papachristodoulou, Frank Allgöwer:
A linear multi-agent systems approach to diffusively coupled piecewise affine systems: Delay robustness. CDC/ECC 2011: 603-608 - [c101]Matthias Albrecht Müller, Daniel Liberzon, Frank Allgöwer:
On norm-controllability of nonlinear systems. CDC/ECC 2011: 1741-1746 - [c100]Benjamin Briegel, Daniel Zelazo, Mathias Bürger, Frank Allgöwer:
On the zeros of consensus networks. CDC/ECC 2011: 1890-1895 - [c99]Shuyou Yu, Hong Chen, Frank Allgöwer:
Tube MPC scheme based on robust control invariant set with application to Lipschitz nonlinear systems. CDC/ECC 2011: 2650-2655 - [c98]Rainer Blind, Frank Allgöwer:
On the optimal sending rate for Networked Control Systems with a shared communication medium. CDC/ECC 2011: 4704-4709 - [c97]Mathias Bürger, Giuseppe Notarstefano, Frank Allgöwer:
Locally constrained decision making via two-stage distributed simplex. CDC/ECC 2011: 5911-5916 - [c96]Martin Löhning, Jan Hasenauer, Frank Allgöwer:
Steady state stability preserving nonlinear model reduction using sequential convex optimization. CDC/ECC 2011: 7158-7163 - [c95]Marcus Reble, Matthias Albrecht Müller, Frank Allgöwer:
Unconstrained model predictive control and suboptimality estimates for nonlinear time-delay systems. CDC/ECC 2011: 7599-7604 - [c94]Mathias Bürger, Daniel Zelazo, Frank Allgöwer:
Network clustering: A dynamical systems and saddle-point perspective. CDC/ECC 2011: 7825-7830 - [c93]Marcus Reble, Daniel E. Quevedo, Frank Allgöwer:
Stochastic stability and performance estimates of packetized unconstrained model predictive control for networked control systems. ICCA 2011: 171-176 - [c92]Gerd S. Schmidt, Christian Ebenbauer, Frank Allgöwer:
Observability properties of the periodic Toda lattice. ICCA 2011: 704-709 - 2010
- [c91]Steffen Waldherr, Frank Allgöwer, Nicole Radde:
Generic Bifurcations in the Dynamics of Biochemical Networks. CCA 2010: 135-141 - [c90]Andrei Kramer, Jan Hasenauer, Frank Allgöwer, Nicole Radde:
Computation of the Posterior Entropy in a Bayesian Framework for Parameter Estimation in Biological Networks. CCA 2010: 493-498 - [c89]Shuyou Yu, Christoph Böhm, Hong Chen, Frank Allgöwer:
MPC with one Free Control Action for Constrained LPV Systems. CCA 2010: 1343-1348 - [c88]Oussama Ajala, Simone Schuler, Frank Allgöwer:
ℓ∞-gain controller order reduction for discrete-time systems. ACC 2010: 329-334 - [c87]Peter Wieland, Frank Allgöwer:
On consensus among identical linear systems using input-decoupled functional observers. ACC 2010: 1641-1646 - [c86]Markus J. Kögel, Rainer Blind, Frank Allgöwer:
Optimal control over unreliable networks with uncertain loss rates. ACC 2010: 3672-3677 - [c85]Gregor Goebel, Ulrich Münz, Frank Allgöwer:
Stabilization of linear systems with distributed input delay. ACC 2010: 5800-5805 - [c84]Shuyou Yu, Christoph Böhm, Hong Chen, Frank Allgöwer:
Robust model predictive control with disturbance invariant sets. ACC 2010: 6262-6267 - [c83]Marcus Reble, Frank Allgöwer:
General design parameters of model predictive control for nonlinear time-delay systems. CDC 2010: 176-181 - [c82]Peter Wieland, Gerd S. Schmidt, Rodolphe Sepulchre, Frank Allgöwer:
Phase synchronization through entrainment by a consensus input. CDC 2010: 534-539 - [c81]Christoph Böhm, Mircea Lazar, Frank Allgöwer:
A relaxation of Lyapunov conditions and controller synthesis for discrete-time periodic systems. CDC 2010: 3277-3282 - [c80]Christoph Maier, Christoph Böhm, Frederik Deroo, Frank Allgöwer:
Predictive control for polynomial systems subject to constraints using sum of squares. CDC 2010: 3433-3438 - [c79]Jan Hasenauer, Christian Breindl, Steffen Waldherr, Frank Allgöwer:
Approximative classification of regions in parameter spaces of nonlinear ODEs yielding different qualitative behavior. CDC 2010: 4114-4119 - [c78]Gerd S. Schmidt, Christian Ebenbauer, Frank Allgöwer:
Synchronization conditions for Lyapunov oscillators. CDC 2010: 6230-6235 - [c77]Gerd S. Schmidt, Jingbo Wu, Ulrich Münz, Frank Allgöwer:
Consensus in bistable and multistable multi-agent systems. CDC 2010: 7135-7140 - [c76]Christoph Böhm, Frank Allgöwer:
Efficient offline model predictive control of constrained nonlinear periodic systems. PSYCO 2010: 12-17 - [c75]Christoph Böhm, Mircea Lazar, Frank Allgöwer:
Stability analysis of periodically time-varying systems using periodic Lyapunov functions. PSYCO 2010: 57-62 - [c74]Jan Hasenauer, Steffen Waldherr, Nicole Radde, Malgorzata Doszczak, Peter Scheurich, Frank Allgöwer:
A maximum likelihood estimator for parameter distributions in heterogeneous cell populations. ICCS 2010: 1655-1663 - 2009
- [c73]Rainer Blind, Stefan Uhlich, Bin Yang, Frank Allgöwer:
Robustification and optimization of a Kalman filter with measurement loss using linear precoding. ACC 2009: 2222-2227 - [c72]Shuyou Yu, Christoph Böhm, Hong Chen, Frank Allgöwer:
Stabilizing model predictive control for LPV systems subject to constraints with parameter-dependent control law. ACC 2009: 3118-3123 - [c71]Simone Schuler, Frank Allgöwer:
ℓ∞-gain model reduction for discrete-time systems via LMIs. ACC 2009: 5701-5706 - [c70]Christoph Maier, Frank Allgöwer:
A set-valued filter for discrete time polynomial systems using sum of squares programming. CDC 2009: 223-228 - [c69]Reza Mahboobi Esfanjani, Marcus Reble, Ulrich Münz, Seyyed Kamaleddin Yadavar Nikravesh, Frank Allgöwer:
Model predictive control of constrained nonlinear time-delay systems. CDC 2009: 1324-1329 - [c68]Rainer Blind, Frank Allgöwer:
Estimating the fates of the control packets for Networked Control Systems with loss of control and measurement packets. CDC 2009: 2687-2692 - [c67]Steffen Waldherr, Frank Allgöwer, Elling W. Jacobsen:
Kinetic perturbations as robustness analysis tool for biochemical reaction networks. CDC 2009: 4572-4577 - [c66]Ulrich Münz, Antonis Papachristodoulou, Frank Allgöwer:
Generalized Nyquist consensus condition for high-order linear multi-agent systems with communication delays. CDC 2009: 4765-4771 - [c65]Christian Breindl, Frank Allgöwer:
Verification of multistability in gene regulation networks: A combinatorial approach. CDC 2009: 5637-5642 - [c64]Rainer Blind, Frank Allgöwer:
A controller design for Networked Control Systems with random delays via the Jump Linear System approach, which reduces the effects of the delay. ECC 2009: 1728-1733 - [c63]Matthias A. Müller, Steffen Waldherr, Frank Allgöwer:
The transcritical bifurcation in absolutely stable feedback systems. ECC 2009: 2146-2151 - [c62]Gerd S. Schmidt, Ulrich Münz, Frank Allgöwer:
Multi-agent speed consensus via delayed position feedback with application to Kuramoto oscillators. ECC 2009: 2464-2469 - [c61]Marcus Reble, Christoph Böhm, Frank Allgöwer:
Nonlinear model predictive control for periodic systems using LMIs. ECC 2009: 3365-3370 - [c60]Christoph Böhm, Shuyou Yu, Rolf Findeisen, Frank Allgöwer:
Predictive control for lure systems subject to constraints using LMIs. ECC 2009: 3389-3394 - 2008
- [c59]Jorgen K. Johnsen, Florian Dörfler, Frank Allgöwer:
L2-gain of Port-Hamiltonian systems and application to a biochemical fermenter model. ACC 2008: 153-158 - [c58]Mathias Bürger, Tobias Raff, Christian Ebenbauer, Frank Allgöwer:
Extensions on a certainty-equivalence feedback design with a class of feedbacks which guarantee ISS. ACC 2008: 383-388 - [c57]Tobias Raff, David Sinz, Frank Allgöwer:
Model predictive control of uncertain continuous-time systems with piecewise constant control input: A convex approach. ACC 2008: 1109-1114 - [c56]Christoph Böhm, Tobias Raff, Rolf Findeisen, Frank Allgöwer:
Calculating the terminal region of NMPC for Lure systems via LMIs. ACC 2008: 1127-1132 - [c55]Johannes Maess, Andrew J. Fleming, Frank Allgöwer:
Model-based vibration suppression in piezoelectric tube scanners through induced voltage feedback. ACC 2008: 2022-2027 - [c54]Dara Geffen, Rolf Findeisen, Monica Schliemann, Frank Allgöwer, Martin Guay:
Observability Based Parameter Identifiability for Biochemical Reaction Networks. ACC 2008: 2130-2135 - [c53]Tobias Raff, Markus Kogel, Frank Allgöwer:
Observer with sample-and-hold updating for Lipschitz nonlinear systems with nonuniformly sampled measurements. ACC 2008: 5254-5257 - [c52]Ulrich Münz, Antonis Papachristodoulou, Frank Allgöwer:
Delay-dependent rendezvous and flocking of large scale multi-agent systems with communication delays. CDC 2008: 2038-2043 - 2007
- [c51]Jung-Su Kim, Frank Allgöwer:
A nonlinear synchronization scheme for polynomial systems. ACC 2007: 2588-2593 - [c50]Peter Wieland, Christian Ebenbauer, Frank Allgöwer:
Ensuring Task-Independent Safety for Multi-Agent Systems by Feedback. ACC 2007: 3880-3885 - [c49]Johannes Maess, Andrew J. Fleming, Frank Allgöwer:
Simulation of Piezoelectric Tube Actuators by Reduced Finite Element Models for Controller Design. ACC 2007: 4221-4226 - [c48]Ulrich Münz, Christian Ebenbauer, Frank Allgöwer:
Stability of Networked Systems with Multiple Delays Using Linear Programming. ACC 2007: 5515-5520 - [c47]Marcus Reble, Ulrich Münz, Frank Allgöwer:
Diagnosis of parametric faults in multivariable nonlinear systems. CDC 2007: 366-371 - [c46]Rainer Blind, Ulrich Münz, Frank Allgöwer:
Almost sure stability and transient behavior of stochastic nonlinear jump systems motivated by networked control systems. CDC 2007: 3327-3332 - [c45]Tobias Raff, Frank Allgöwer:
Observers with impulsive dynamical behavior for linear and nonlinear continuous-time systems. CDC 2007: 4287-4292 - 2006
- [c44]Tobias Raff, Frank Allgöwer:
An EKF-based observer for nonlinear time-delay systems. ACC 2006: 1-4 - [c43]Jochen Assfalg, Frank Allgöwer:
Fault Diagnosis with Structured Augmented State Models: Modeling, Analysis, and Design. CDC 2006: 1165-1170 - [c42]Marcello Farina, Rolf Findeisen, Eric Bullinger, Sergio Bittanti, Frank Allgöwer, Peter Wellstead:
Results Towards Identifiability Properties of Biochemical Reaction Networks. CDC 2006: 2104-2109 - [c41]Christian Ebenbauer, Frank Allgöwer:
Stability Analysis for Time-Delay Systems using Rekasius's Substitution and Sum of Squares. CDC 2006: 5376-5381 - [c40]Jochen M. Rieber, Carsten W. Scherer, Frank Allgöwer:
Robust l1 Performance Analysis in face of Parametric Uncertainties. CDC 2006: 5826-5831 - [c39]David Q. Mayne, Sasa V. Rakovic, Rolf Findeisen, Frank Allgöwer:
Robust Output Feedback Model Predictive Control for Constrained Linear Systems under Uncertainty Based on Feed Forward and Positive Invariant Feedback Control. CDC 2006: 6618-6623 - [c38]Solvey Maldonado, Steffen Borchers, Rolf Findeisen, Frank Allgöwer:
Mathematical Modeling and Analysis of Force Induced Bone Growth. EMBC 2006: 3154-3157 - 2005
- [c37]Jochen M. Rieber, Alexandra Fritsch, Frank Allgöwer:
State-space formulas for gain-scheduled ℓ1-optimal controller. ACC 2005: 609-614vol.1 - [c36]Christian Ebenbauer, Tobias Raff, Frank Allgöwer:
A duality-based LPV approach to polynomial state feedback design. ACC 2005: 703-708 - [c35]Philipp Wolfrum, Alejandro Vargas, Martha A. Gallivan, Frank Allgöwer:
Complexity reduction of a thin film deposition model using a trajectory based nonlinear model reduction technique. ACC 2005: 2566-2571 - [c34]Ansgar Rehm, Frank Allgöwer:
H∞ control of descriptor systems in a differential inclusion setting. ACC 2005: 4303-4308 - [c33]Rolf Findeisen, Frank Allgöwer:
Robustness Properties and Output Feedback of Optimization Based Sampled-data Open-loop Feedback. CDC/ECC 2005: 54-59 - [c32]Tobias Raff, Patrick Menold, Christian Ebenbauer, Frank Allgöwer:
A Finite Time Functional Observer For Linear Systems. CDC/ECC 2005: 7198-7203 - [c31]Christian Ebenbauer, Jonathan Renz, Frank Allgöwer:
Polynomial Feedback and Observer Design using Nonquadratic Lyapunov Functions. CDC/ECC 2005: 7587-7592 - [c30]Ignacio Alvarado, Rolf Findeisen, Peter Kuhl, Frank Allgöwer, Daniel Limón:
State Estimation for Repetitive Processes Using Iteratively Improving Moving Horizon Observers. CDC/ECC 2005: 7756-7761 - [c29]Tobias Schweickhardt, Frank Allgöwer:
Linear modeling error and steady-state behaviour of nonlinear dynamical systems. CDC/ECC 2005: 8150-8155 - 2004
- [c28]Christian Ebenbauer, Frank Allgöwer:
Minimum-phase property of nonlinear systems in terms of a dissipation inequality. ACC 2004: 1737-1742 - [c27]Alejandro Vargas, Frank Allgöwer:
Model reduction for process control using iterative nonlinear identification. ACC 2004: 2915-2920 - [c26]Andrey Yonchev, Rolf Findeisen, Christian Ebenbauer, Frank Allgöwer:
Model predictive control of linear continuous time singular systems subject to input constraints. CDC 2004: 2047-2052 - [c25]Zoltán K. Nagy, Frank Allgöwer:
Nonlinear model predictive control: From chemical industry to microelectronics. CDC 2004: 4249-4254 - [c24]Tobias Raff, Christian Ebenbauer, Frank Allgöwer:
Passivity-based nonlinear dynamic output feedback design: a semidefinite programming approach. CDC 2004: 5409-5414 - 2003
- [c23]Georg Schitter, Andreas Stemmer, Frank Allgöwer:
Robust 2 DOF-control of a piezoelectric tube scanner for high speed atomic force microscopy. ACC 2003: 3720-3725 - [c22]Lars Imsland, Rolf Findeisen, Frank Allgöwer, Bjarne A. Foss:
Output feedback stabilization with nonlinear predictive control: asymptotic properties. ACC 2003: 4908-4913 - [c21]Moritz Diehl, Rolf Findeisen, Frank Allgöwer, Hans Georg Bock, Johannes P. Schlöder:
Stability of nonlinear model predictive control in the presence of errors due to numerical online optimization. CDC 2003: 1419-1424 - [c20]Rolf Findeisen, Lars Imsland, Frank Allgöwer, Bjame A. Foss:
Stability conditions for observer based output feedback stabilization with nonlinear model predictive control. CDC 2003: 1425-1430 - [c19]Patrick Menold, Rolf Findeisen, Frank Allgöwer:
Finite time convergent observers for nonlinear systems. CDC 2003: 5673-5678 - [c18]Jochen M. Rieber, Frank Allgöwer:
An approach to gain-scheduled l1-optimal control of linear parameter-varying systems. CDC 2003: 6109-6114 - [c17]Tobias Schweickhardt, Frank Allgöwer, Frank J. Doyle III:
Nonlinearity quantification for the optimal state feedback controller. ECC 2003: 330-335 - [c16]Ansgar Rehm, Frank Allgöwer:
H∞ control of descriptor systems: An example from binary distillation control. ECC 2003: 814-819 - [c15]Rolf Findeisen, Lars Imsland, Frank Allgöwer, Bjarne A. Foss:
Output-feedback nonlinear model predictive control using high-gain observers in original coordinates. ECC 2003: 2014-2019 - [c14]Henry G. Potrykus, Frank Allgöwer, Si-Zhao Joe Qin:
The Character of an Idempotent-analytic Nonlinear Small Gain Theorem. POSTA 2003: 361-368 - 2002
- [c13]Ansgar Rehm, Frank Allgöwer:
An LMI approach towards H∞ control of discrete-time descriptor systems. ACC 2002: 614-619 - [c12]Rolf Findeisen, Moritz Diehl, Tobias Bürner, Frank Allgöwer, Hans Georg Bock, Johannes P. Schlöder:
Efficient output feedback nonlinear model predictive control. ACC 2002: 4752-4757 - [c11]Carsten W. Scherer, Hong Chen, Frank Allgöwer:
Disturbance attenuation with actuator constraints by hybrid state-feedback control. CDC 2002: 4134-4139 - [c10]Rolf Findeisen, Moritz Diehl, Ilknur Disli-Uslu, Stefan Schwarzkopf, Frank Allgöwer, Hans Georg Bock, Johannes P. Schlöder, Ernst Dieter Gilles:
Computation and performance assessment of nonlinear model predictive control. CDC 2002: 4613-4618 - 2001
- [c9]Ansgar Rehm, Frank Allgöwer:
H∞ control of differential algebraic equation systems: the linearizing change of variables approach revisited. ACC 2001: 2948-2952 - [c8]Rolf Findeisen, Moritz Diehl, Zoltán K. Nagy, Frank Allgöwer, Hans Georg Bock, Johannes P. Schlöder:
Computational feasibility and performance of nonlinear model predictive control schemes. ECC 2001: 957-961 - [c7]Ansgar Rehm, Frank Allgöwer:
General quadratic performance analysis and synthesis of descriptor systems: A linearizing change of variables approach. ECC 2001: 2380-2385 - 2000
- [c6]Rolf Findeisen, Hong Chen, Frank Allgöwer:
Nonlinear predictive control for setpoint families. ACC 2000: 260-264 - [c5]Ansgar Rehm, Frank Allgöwer:
H∞ control of descriptor systems with norm-bounded uncertainties in the system matrices. ACC 2000: 3244-3248 - [c4]Eric Bullinger, Rolf Findeisen, Frantisek Kraus, Frank Allgöwer:
Some further results on adaptive λ-tracking for linear systems with high relative degree. ACC 2000: 3655-3660 - [c3]Zoltán K. Nagy, Rolf Findeisen, Moritz Diehl, Frank Allgöwer, Hans Georg Bock, Paul Serban Agachi, Johannes P. Schlöder, Daniel B. Leineweber:
Real-time feasibility of nonlinear predictive control for large scale processes-a case study. ACC 2000: 4249-4253 - [c2]Eric Bullinger, Frank Allgöwer:
Adaptive λ-tracking for nonlinear systems with higher relative degree. CDC 2000: 4771-4776 - 1999
- [c1]Eric Bullinger, Frank Allgöwer:
Adaptive X-tracking for linear systems with higher relative degree - The continuous adaptation case. ECC 1999: 873-878
Reference Works
- 2015
- [r1]Steffen Waldherr, Frank Allgöwer:
Robustness Analysis of Biological Models. Encyclopedia of Systems and Control 2015
Informal and Other Publications
- 2024
- [i131]Patricia Pauli, Aaron J. Havens, Alexandre Araujo, Siddharth Garg, Farshad Khorrami, Frank Allgöwer, Bin Hu:
Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations. CoRR abs/2401.14033 (2024) - [i130]Robin Strässer, Manuel Schaller, Karl Worthmann, Julian Berberich, Frank Allgöwer:
SafEDMD: A certified learning architecture tailored to data-driven control of nonlinear dynamical systems. CoRR abs/2402.03145 (2024) - [i129]Patricia Pauli, Dennis Gramlich, Frank Allgöwer:
State space representations of the Roesser type for convolutional layers. CoRR abs/2403.11938 (2024) - [i128]Robin Strässer, Marc Seidel, Felix Brändle, David Meister, Raffaele Soloperto, David Hambach Ferrer, Frank Allgöwer:
Collision Avoidance Safety Filter for an Autonomous E-Scooter using Ultrasonic Sensors. CoRR abs/2403.15116 (2024) - [i127]Sebastian Schlor, Frank Allgöwer:
Bootstrapping Guarantees: Stability and Performance Analysis for Dynamic Encrypted Control. CoRR abs/2403.18571 (2024) - [i126]Yifan Xie, Julian Berberich, Frank Allgöwer:
Data-Driven Min-Max MPC for Linear Systems: Robustness and Adaptation. CoRR abs/2404.19096 (2024) - [i125]Patricia Pauli, Dennis Gramlich, Frank Allgöwer:
Lipschitz constant estimation for general neural network architectures using control tools. CoRR abs/2405.01125 (2024) - [i124]David Meister, Duarte J. Antunes, Frank Allgöwer:
How improving performance may imply losing consistency in event-triggered consensus. CoRR abs/2405.03245 (2024) - [i123]Lukas Schwenkel, Daniel Briem, Matthias A. Müller, Frank Allgöwer:
On discount functions for economic model predictive control without terminal conditions. CoRR abs/2405.14361 (2024) - [i122]Julian Berberich, Frank Allgöwer:
An overview of systems-theoretic guarantees in data-driven model predictive control. CoRR abs/2406.04130 (2024) - [i121]Karl Worthmann, Robin Strässer, Manuel Schaller, Julian Berberich, Frank Allgöwer:
Data-driven MPC with terminal conditions in the Koopman framework. CoRR abs/2408.12457 (2024) - 2023
- [i120]Janani Venkatasubramanian, Johannes Köhler, Julian Berberich, Frank Allgöwer:
Sequential learning and control: Targeted exploration for robust performance. CoRR abs/2301.07995 (2023) - [i119]Dennis Gramlich, Patricia Pauli, Carsten W. Scherer, Frank Allgöwer, Christian Ebenbauer:
Convolutional Neural Networks as 2-D systems. CoRR abs/2303.03042 (2023) - [i118]Matthias Köhler, Lisa Krügel, Lars Grüne, Matthias Albrecht Müller, Frank Allgöwer:
Transient Performance of MPC for Tracking. CoRR abs/2303.10006 (2023) - [i117]Chris Verhoek, Julian Berberich, Sofie Haesaert, Frank Allgöwer, Roland Tóth:
Data-driven Dissipativity Analysis of Linear Parameter-Varying Systems. CoRR abs/2303.10031 (2023) - [i116]David Meister, Frank Aurzada, Mikhail A. Lifshits, Frank Allgöwer:
Time- versus Event-Triggered Consensus of a Single-Integrator Multi-Agent System. CoRR abs/2303.11097 (2023) - [i115]Patricia Pauli, Ruigang Wang, Ian R. Manchester, Frank Allgöwer:
Lipschitz-bounded 1D convolutional neural networks using the Cayley transform and the controllability Gramian. CoRR abs/2303.11835 (2023) - [i114]Michael Hertneck, Frank Allgöwer:
Self-triggered output feedback control for nonlinear networked control systems based on hybrid Lyapunov functions. CoRR abs/2303.12949 (2023) - [i113]Matthias Köhler, Matthias Albrecht Müller, Frank Allgöwer:
Distributed Model Predictive Control for Periodic Cooperation of Multi-Agent Systems. CoRR abs/2304.03002 (2023) - [i112]Robin Strässer, Julian Berberich, Frank Allgöwer:
Robust data-driven control for nonlinear systems using the Koopman operator. CoRR abs/2304.03519 (2023) - [i111]Robin Strässer, Julian Berberich, Frank Allgöwer:
Control of bilinear systems using gain-scheduling: Stability and performance guarantees. CoRR abs/2304.04486 (2023) - [i110]Henning Schlüter, Frank Allgöwer:
Stochastic Model Predictive Control using Initial State and Variance Interpolation. CoRR abs/2304.07122 (2023) - [i109]Marc Seidel, Simon Lang, Frank Allgöwer:
On 𝓁2-performance of weakly-hard real-time control systems. CoRR abs/2305.07875 (2023) - [i108]Tim Martin, Thomas B. Schön, Frank Allgöwer:
Guarantees for data-driven control of nonlinear systems using semidefinite programming: A survey. CoRR abs/2306.16042 (2023) - [i107]Johannes Köhler, Matthias Albrecht Müller, Frank Allgöwer:
Analysis and design of model predictive control frameworks for dynamic operation - An overview. CoRR abs/2307.03004 (2023) - [i106]David Meister, Frank Allgöwer:
Performance implications of different p-norms in level-triggered sampling. CoRR abs/2309.03804 (2023) - [i105]Yifan Xie, Julian Berberich, Frank Allgöwer:
Data-Driven Min-Max MPC for Linear Systems. CoRR abs/2309.17307 (2023) - [i104]Robin Strässer, Sebastian Schlor, Frank Allgöwer:
Decrypting Nonlinearity: Koopman Interpretation and Analysis of Cryptosystems. CoRR abs/2311.12714 (2023) - [i103]Robin Strässer, Manuel Schaller, Karl Worthmann, Julian Berberich, Frank Allgöwer:
Koopman-based feedback design with stability guarantees. CoRR abs/2312.01441 (2023) - [i102]Janani Venkatasubramanian, Johannes Köhler, Mark Cannon, Frank Allgöwer:
Towards non-stochastic targeted exploration. CoRR abs/2312.05947 (2023) - 2022
- [i101]Patricia Pauli, Niklas Funcke, Dennis Gramlich, Mohamed Amine Msalmi, Frank Allgöwer:
Neural network training under semidefinite constraints. CoRR abs/2201.00632 (2022) - [i100]Michael Hertneck, Frank Allgöwer:
Dynamic self-triggered control for nonlinear systems with delays. CoRR abs/2202.04539 (2022) - [i99]Xin Wang, Julian Berberich, Jian Sun, Gang Wang, Frank Allgöwer, Jie Chen:
Data-Driven Control of Event- and Self-Triggered Discrete-Time Systems. CoRR abs/2202.08019 (2022) - [i98]Matthias Hirche, Julian Berberich, Matthias A. Müller, Frank Allgöwer:
Data-driven distributed MPC of dynamically coupled linear systems. CoRR abs/2202.12764 (2022) - [i97]Henning Schlüter, Frank Allgöwer:
Stochastic Model Predictive Control using Initial State Optimization. CoRR abs/2203.01844 (2022) - [i96]Christian Klöppelt, Julian Berberich, Frank Allgöwer, Matthias A. Müller:
A novel constraint tightening approach for robust data-driven predictive control. CoRR abs/2203.07055 (2022) - [i95]Stefan Wildhagen, Matthias Pezzutto, Luca Schenato, Frank Allgöwer:
Self-triggered MPC robust to bounded packet loss via a min-max approach. CoRR abs/2204.00339 (2022) - [i94]Mohammad Alsalti, Victor G. Lopez, Julian Berberich, Frank Allgöwer, Matthias A. Müller:
Data-based Control of Feedback Linearizable Systems. CoRR abs/2204.01148 (2022) - [i93]Mohammad Alsalti, Victor G. Lopez, Julian Berberich, Frank Allgöwer, Matthias A. Müller:
Practical exponential stability of a robust data-driven nonlinear predictive control scheme. CoRR abs/2204.01150 (2022) - [i92]Ross Drummond, Stephen R. Duncan, Matthew C. Turner, Patricia Pauli, Frank Allgöwer:
Bounding the difference between model predictive control and neural networks. CoRR abs/2204.06486 (2022) - [i91]Lukas Schwenkel, Alexander Hadorn, Matthias A. Müller, Frank Allgöwer:
Linearly discounted economic MPC without terminal conditions for periodic optimal operation. CoRR abs/2205.03118 (2022) - [i90]Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Stability in data-driven MPC: an inherent robustness perspective. CoRR abs/2205.11859 (2022) - [i89]David Meister, Frank Aurzada, Mikhail Lifshits, Frank Allgöwer:
Analysis of Time- versus Event-Triggered Consensus for a Single-Integrator Multi-Agent System. CoRR abs/2206.08862 (2022) - [i88]Julian Berberich, Andrea Iannelli, Alberto Padoan, Jeremy Coulson, Florian Dörfler, Frank Allgöwer:
A quantitative and constructive proof of Willems' Fundamental Lemma and its implications. CoRR abs/2208.00905 (2022) - [i87]Xin Wang, Jian Sun, Gang Wang, Frank Allgöwer, Jie Chen:
Data-Driven Control of Distributed Event-Triggered Network Systems. CoRR abs/2208.10303 (2022) - [i86]Matthias Köhler, Matthias A. Müller, Frank Allgöwer:
Distributed MPC for Self-Organized Cooperation of Multi-Agent Systems. CoRR abs/2210.10128 (2022) - [i85]Tim Martin, Thomas B. Schön, Frank Allgöwer:
Gaussian inference for data-driven state-feedback design of nonlinear systems. CoRR abs/2211.05639 (2022) - [i84]Mohammad Alsalti, Victor G. Lopez, Julian Berberich, Frank Allgöwer, Matthias A. Müller:
Data-driven Nonlinear Predictive Control for Feedback Linearizable Systems. CoRR abs/2211.06339 (2022) - [i83]David Meister, Frank Dürr, Frank Allgöwer:
Shared Network Effects in Time- versus Event-Triggered Consensus of a Single-Integrator Multi-Agent System. CoRR abs/2211.08156 (2022) - [i82]Lukas Schwenkel, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Robust peak-to-peak gain analysis using integral quadratic constraints. CoRR abs/2211.09434 (2022) - [i81]Sebastian Schlor, Robin Strässer, Frank Allgöwer:
Koopman interpretation and analysis of a public-key cryptosystem: Diffie-Hellman key exchange. CoRR abs/2211.11290 (2022) - [i80]Patricia Pauli, Dennis Gramlich, Frank Allgöwer:
Lipschitz constant estimation for 1D convolutional neural networks. CoRR abs/2211.15253 (2022) - [i79]Yifan Xie, Julian Berberich, Frank Allgöwer:
Linear Data-Driven Economic MPC with Generalized Terminal Constraint. CoRR abs/2212.01099 (2022) - 2021
- [i78]Stefan Wildhagen, Julian Berberich, Michael Hertneck, Frank Allgöwer:
Data-driven estimation of the maximum sampling interval: analysis and controller design for discrete-time systems. CoRR abs/2101.00903 (2021) - [i77]Johannes Köhler, Frank Allgöwer:
Stability and performance in MPC using a finite-tail cost. CoRR abs/2101.04738 (2021) - [i76]Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
On the design of terminal ingredients for data-driven MPC. CoRR abs/2101.05573 (2021) - [i75]Nils Wieler, Julian Berberich, Anne Koch, Frank Allgöwer:
Data-Driven Controller Design via Finite-Horizon Dissipativity. CoRR abs/2101.06156 (2021) - [i74]Christian Klöppelt, Lukas Schwenkel, Frank Allgöwer, Matthias A. Müller:
Transient Performance of Tube-based Robust Economic Model Predictive Control. CoRR abs/2102.09404 (2021) - [i73]Joscha Bongard, Julian Berberich, Johannes Köhler, Frank Allgöwer:
Robust stability analysis of a simple data-driven model predictive control approach. CoRR abs/2103.00851 (2021) - [i72]Mohammad Alsalti, Julian Berberich, Victor G. Lopez, Frank Allgöwer, Matthias A. Müller:
Data-Based System Analysis and Control of Flat Nonlinear Systems. CoRR abs/2103.02892 (2021) - [i71]Tim Martin, Frank Allgöwer:
Data-driven inference on optimal input-output properties of polynomial systems with focus on nonlinearity measures. CoRR abs/2103.10306 (2021) - [i70]Stefan Wildhagen, Julian Berberich, Matthias Hirche, Frank Allgöwer:
Improved stability conditions for systems under aperiodic sampling: model- and data-based analysis. CoRR abs/2103.14353 (2021) - [i69]Sebastian Schlor, Michael Hertneck, Stefan Wildhagen, Frank Allgöwer:
Multi-party computation for secure polynomial control. CoRR abs/2103.16335 (2021) - [i68]Patricia Pauli, Dennis Gramlich, Julian Berberich, Frank Allgöwer:
Linear systems with neural network nonlinearities: Improved stability analysis via acausal Zames-Falb multipliers. CoRR abs/2103.17106 (2021) - [i67]Lukas Schwenkel, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Model predictive control for linear uncertain systems using integral quadratic constraints. CoRR abs/2104.05444 (2021) - [i66]Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Robust output feedback model predictive control using online estimation bounds. CoRR abs/2105.03427 (2021) - [i65]Amr Alanwar, Anne Koch, Frank Allgöwer, Karl Henrik Johansson:
Data-Driven Reachability Analysis from Noisy Data. CoRR abs/2105.07229 (2021) - [i64]Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Linear tracking MPC for nonlinear systems Part I: The model-based case. CoRR abs/2105.08560 (2021) - [i63]Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Linear tracking MPC for nonlinear systems Part II: The data-driven case. CoRR abs/2105.08567 (2021) - [i62]Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Data-driven model predictive control: closed-loop guarantees and experimental results. CoRR abs/2107.00966 (2021) - [i61]Stefan Wildhagen, Frank Allgöwer:
Rollout event-triggered control: Reconciling event- and time-triggered control. CoRR abs/2108.02994 (2021) - [i60]Stefan Wildhagen, Frank Allgöwer:
Uncertainties and output feedback in rollout event-triggered control. CoRR abs/2108.09125 (2021) - [i59]Tim Martin, Frank Allgöwer:
Data-driven system analysis of nonlinear systems using polynomial approximation. CoRR abs/2108.11298 (2021) - [i58]Michael Hertneck, Frank Allgöwer:
Dynamic self-triggered control for nonlinear systems based on hybrid Lyapunov functions. CoRR abs/2109.06657 (2021) - [i57]Xin Wang, Jian Sun, Julian Berberich, Gang Wang, Frank Allgöwer, Jie Chen:
Data-driven Control of Dynamic Event-triggered Systems with Delays. CoRR abs/2110.12768 (2021) - [i56]Michael Hertneck, Frank Allgöwer:
Robust dynamic self-triggered control for nonlinear systems using hybrid Lyapunov functions. CoRR abs/2111.04347 (2021) - 2020
- [i55]Michael Hertneck, Steffen Linsenmayer, Frank Allgöwer:
Model-Based Nonlinear Periodic Event-Triggered Control for Continuous-Time Systems with Sampled-Data Prediction. CoRR abs/2001.11721 (2020) - [i54]Anne Koch, Julian Berberich, Johannes Köhler, Frank Allgöwer:
Determining optimal input-output properties: A data-driven approach. CoRR abs/2002.03882 (2020) - [i53]Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Robust Constraint Satisfaction in Data-Driven MPC. CoRR abs/2003.06808 (2020) - [i52]Stefan Wildhagen, Frank Allgöwer:
Rollout scheduling and control for disturbed systems via tube MPC. CoRR abs/2004.01605 (2020) - [i51]Janani Venkatasubramanian, Johannes Köhler, Julian Berberich, Frank Allgöwer:
Robust Dual Control based on Gain Scheduling. CoRR abs/2004.04563 (2020) - [i50]Anne Koch, Julian Berberich, Frank Allgöwer:
Verifying dissipativity properties from noise-corrupted input-state data. CoRR abs/2004.07270 (2020) - [i49]Tim Martin, Frank Allgöwer:
Iterative data-driven inference of nonlinearity measures via successive graph approximation. CoRR abs/2004.11746 (2020) - [i48]Michael Hertneck, Steffen Linsenmayer, Frank Allgöwer:
Stability Analysis for Nonlinear Weakly Hard Real-Time Control Systems. CoRR abs/2005.01345 (2020) - [i47]Patricia Pauli, Anne Koch, Julian Berberich, Frank Allgöwer:
Training robust neural networks using Lipschitz bounds. CoRR abs/2005.02929 (2020) - [i46]Johannes Köhler, Lukas Schwenkel, Anne Koch, Julian Berberich, Patricia Pauli, Frank Allgöwer:
Robust and optimal predictive control of the COVID-19 outbreak. CoRR abs/2005.03580 (2020) - [i45]Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Periodic optimal control of nonlinear constrained systems using economic model predictive control. CoRR abs/2005.05245 (2020) - [i44]Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Constrained nonlinear output regulation using model predictive control - extended version. CoRR abs/2005.12413 (2020) - [i43]Michael Hertneck, Frank Allgöwer:
A Simple Approach to Increase the Maximum Allowable Transmission Interval. CoRR abs/2006.03268 (2020) - [i42]Anne Koch, Julian Berberich, Frank Allgöwer:
Provably robust verification of dissipativity properties from data. CoRR abs/2006.05974 (2020) - [i41]Tim Martin, Frank Allgöwer:
Dissipativity verification with guarantees for polynomial systems from noisy input-state data. CoRR abs/2008.03231 (2020) - [i40]Julian Berberich, Carsten W. Scherer, Frank Allgöwer:
Combining Prior Knowledge and Data for Robust Controller Design. CoRR abs/2009.05253 (2020) - [i39]Amr Alanwar, Anne Koch, Frank Allgöwer, Karl Henrik Johansson:
Data-Driven Reachability Analysis Using Matrix Zonotopes. CoRR abs/2011.08472 (2020) - [i38]Julian Berberich, Stefan Wildhagen, Michael Hertneck, Frank Allgöwer:
Data-driven analysis and control of continuous-time systems under aperiodic sampling. CoRR abs/2011.09221 (2020) - [i37]Robin Strässer, Julian Berberich, Frank Allgöwer:
Data-Driven Stabilization of Nonlinear Systems with Rational Dynamics. CoRR abs/2011.11355 (2020) - [i36]Patricia Pauli, Johannes Köhler, Julian Berberich, Anne Koch, Frank Allgöwer:
Offset-free setpoint tracking using neural network controllers. CoRR abs/2011.14006 (2020) - 2019
- [i35]Stefan Wildhagen, Matthias A. Müller, Frank Allgöwer:
Economic MPC using a Cyclic Horizon with Application to Networked Control Systems. CoRR abs/1902.08132 (2019) - [i34]Julian Berberich, Frank Allgöwer:
A trajectory-based framework for data-driven system analysis and control. CoRR abs/1903.10723 (2019) - [i33]Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Data-Driven Model Predictive Control with Stability and Robustness Guarantees. CoRR abs/1906.04679 (2019) - [i32]Miel Sharf, Anne Romer, Daniel Zelazo, Frank Allgöwer:
Model-Free Practical Cooperative Control for Diffusively Coupled Systems. CoRR abs/1906.05204 (2019) - [i31]Michael Hertneck, Steffen Linsenmayer, Frank Allgöwer:
Nonlinear Dynamic Periodic Event-Triggered Control with Robustness to Packet Loss Based on Non-Monotonic Lyapunov Functions. CoRR abs/1908.11661 (2019) - [i30]Marko Nonhoff, Philipp N. Köhler, Anna M. Kohl, Kristin Ytterstad Pettersen, Frank Allgöwer:
Economic model predictive control for snake robot locomotion. CoRR abs/1909.00795 (2019) - [i29]Johannes Köhler, Elisa Andina, Raffaele Soloperto, Matthias A. Müller, Frank Allgöwer:
Linear robust adaptive model predictive control: Computational complexity and conservatism. CoRR abs/1909.01813 (2019) - [i28]Julian Berberich, Anne Romer, Carsten W. Scherer, Frank Allgöwer:
Robust data-driven state-feedback design. CoRR abs/1909.04314 (2019) - [i27]Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
A nonlinear model predictive control framework using reference generic terminal ingredients. CoRR abs/1909.12765 (2019) - [i26]Anne Romer, Jan Maximilian Montenbruck, Frank Allgöwer:
Sampling Strategies for Data-Driven Inference of Input-Output System Properties. CoRR abs/1910.08919 (2019) - [i25]Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Data-Driven Tracking MPC for Changing Setpoints. CoRR abs/1910.09443 (2019) - [i24]Johannes Köhler, Raffaele Soloperto, Matthias A. Müller, Frank Allgöwer:
A computationally efficient robust model predictive control framework for uncertain nonlinear systems. CoRR abs/1910.12081 (2019) - [i23]Johannes Köhler, Peter Kötting, Raffaele Soloperto, Frank Allgöwer, Matthias A. Müller:
A robust adaptive model predictive control framework for nonlinear uncertain systems. CoRR abs/1911.02899 (2019) - [i22]Mario Rosenfelder, Johannes Köhler, Frank Allgöwer:
Stability and performance in transient average constrained economic MPC without terminal constraints. CoRR abs/1911.03210 (2019) - [i21]Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
A nonlinear tracking model predictive control scheme for dynamic target signals. CoRR abs/1911.03304 (2019) - [i20]Stefan Wildhagen, Frank Allgöwer:
Scheduling and control over networks using MPC with time-varying terminal ingredients. CoRR abs/1911.10780 (2019) - [i19]Stefan Wildhagen, Colin N. Jones, Frank Allgöwer:
A Resource-Aware Approach to Self-Triggered Model Predictive Control. CoRR abs/1911.10799 (2019) - [i18]Florian Jaumann, Stefan Wildhagen, Frank Allgöwer:
Saving Communication Resources in Control over a Token Bucket Network. CoRR abs/1911.10847 (2019) - [i17]Lukas Schwenkel, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Robust Economic Model Predictive Control without Terminal Conditions. CoRR abs/1911.12235 (2019) - [i16]Henning Schlüter, Frank Allgöwer:
A Constraint-Tightening Approach to Nonlinear Stochastic Model Predictive Control for Systems under General Disturbances. CoRR abs/1912.01946 (2019) - [i15]Julian Nubert, Johannes Köhler, Vincent Berenz, Frank Allgöwer, Sebastian Trimpe:
Safe and Fast Tracking Control on a Robot Manipulator: Robust MPC and Neural Network Control. CoRR abs/1912.10360 (2019) - 2018
- [i14]Martina Mammarella, Matthias Lorenzen, Elisa Capello, Hyeongjun Park, Fabrizio Dabbene, Frank Allgöwer, Giorgio Guglieri, Marcello Romano:
An Offline-Sampling SMPC Framework with Application to Automated Space Maneuvers. CoRR abs/1803.01652 (2018) - [i13]Michael Hertneck, Johannes Köhler, Sebastian Trimpe, Frank Allgöwer:
Learning an Approximate Model Predictive Controller with Guarantees. CoRR abs/1806.04167 (2018) - 2017
- [i12]Ivano Notarnicola, Florian A. Bayer, Giuseppe Notarstefano, Frank Allgöwer:
Final-State Constrained Optimal Control via a Projection Operator Approach. CoRR abs/1703.08356 (2017) - 2016
- [i11]Jingbo Wu, Frank Allgöwer:
Distributed Nonlinear Observer with Robust Performance - A Circle Criterion Approach. CoRR abs/1604.03014 (2016) - [i10]Matthias Lorenzen, Fabrizio Dabbene, Roberto Tempo, Frank Allgöwer:
Stochastic MPC with Offline Uncertainty Sampling. CoRR abs/1606.06056 (2016) - 2015
- [i9]Jingbo Wu, Valery A. Ugrinovskii, Frank Allgöwer:
Cooperative H-infinity Estimation for Large-Scale Interconnected Linear Systems. CoRR abs/1507.00403 (2015) - [i8]Jingbo Wu, Li Li, Valery A. Ugrinovskii, Frank Allgöwer:
Distributed Filter Design for Cooperative H-Infinity-Type Estimation. CoRR abs/1509.05967 (2015) - [i7]Matthias Lorenzen, Fabrizio Dabbene, Roberto Tempo, Frank Allgöwer:
Constraint-Tightening and Stability in Stochastic Model Predictive Control. CoRR abs/1511.03488 (2015) - [i6]Jingbo Wu, Valery A. Ugrinovskii, Frank Allgöwer:
Cooperative Estimation for Synchronization of Heterogeneous Multi-Agent Systems Using Relative Information. CoRR abs/1512.02075 (2015) - 2014
- [i5]Mathias Bürger, Claudio De Persis, Frank Allgöwer:
Optimal pricing control in distribution networks with time-varying supply and demand. CoRR abs/1403.6952 (2014) - [i4]Georg S. Seyboth, Wei Ren, Frank Allgöwer:
Cooperative Control of Linear Multi-Agent Systems via Distributed Output Regulation and Transient Synchronization. CoRR abs/1406.0085 (2014) - [i3]Matthias Lorenzen, Frank Allgöwer, Fabrizio Dabbene, Roberto Tempo:
An Improved Constraint-Tightening Approach for Stochastic MPC. CoRR abs/1409.8183 (2014) - 2013
- [i2]Mathias Bürger, Daniel Zelazo, Frank Allgöwer:
Duality and Network Theory in Passivity-based Cooperative Control. CoRR abs/1301.3676 (2013) - [i1]Mathias Bürger, Giuseppe Notarstefano, Frank Allgöwer:
A Polyhedral Approximation Framework for Convex and Robust Distributed Optimization. CoRR abs/1303.6092 (2013)
Coauthor Index
[j175] [j163] [j160] [j159] [j158] [j155] [j153] [j152] [j149] [j148] [j147] [j146] [j145] [j142] [j137] [j134] [j121] [j115] [c264] [c261] [c258] [c250] [c249] [c245] [c242] [c241] [c240] [c238] [c236] [c235] [c234] [c232] [c228] [c227] [c222] [c218] [i130] [i126] [i122] [i121] [i120] [i117] [i112] [i111] [i105] [i103] [i99] [i98] [i96] [i94] [i93] [i90] [i88] [i84] [i79] [i78] [i76] [i75] [i73] [i72] [i70] [i68] [i64] [i63] [i62] [i57] [i54] [i53] [i51] [i50] [i47] [i46] [i42] [i40] [i38] [i37] [i36] [i34] [i33] [i28] [i25]
W. P. M. H. Heemels
aka: Maurice Heemels
aka: Maurice Heemels
Anne Koch 0001
aka: Anne Romer
aka: Anne Romer
[j177] [j167] [j164] [j163] [j150] [j148] [j147] [j146] [j145] [j142] [j139] [j137] [j134] [j133] [j132] [j130] [j129] [j125] [j121] [j119] [j115] [j114] [j113] [c250] [c235] [c230] [c228] [c227] [c225] [c217] [c216] [c209] [c208] [c205] [c204] [c200] [c191] [i120] [i107] [i102] [i90] [i82] [i77] [i76] [i73] [i67] [i66] [i64] [i63] [i62] [i54] [i53] [i51] [i46] [i45] [i44] [i36] [i33] [i29] [i27] [i25] [i24] [i23] [i22] [i21] [i17] [i15] [i13]
[j177] [j176] [j169] [j167] [j166] [j165] [j158] [j150] [j148] [j147] [j145] [j140] [j139] [j137] [j134] [j133] [j129] [j125] [j120] [j119] [j118] [j116] [j115] [j114] [j111] [j90] [j82] [j81] [j76] [j75] [j66] [j58] [c250] [c242] [c230] [c229] [c228] [c225] [c217] [c216] [c213] [c210] [c209] [c208] [c205] [c201] [c200] [c197] [c192] [c191] [c188] [c182] [c181] [c173] [c154] [c146] [c141] [c133] [c129] [c120] [c119] [c103] [c101] [c95] [c63] [i123] [i118] [i113] [i107] [i98] [i96] [i94] [i93] [i91] [i90] [i86] [i84] [i82] [i76] [i74] [i72] [i67] [i66] [i64] [i63] [i62] [i53] [i45] [i44] [i35] [i33] [i29] [i27] [i25] [i24] [i23] [i21] [i17]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 22:06 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
