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ORCIDFrank Allgöwer
Person information
- affiliation: University of Stuttgart, Germany
- award (2004): Gottfried Wilhelm Leibniz Prize
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2020 – today
- 2025
[j184]Robin Strässer
, Sebastian Schlor, Frank Allgöwer:
Decrypting nonlinearity: Koopman interpretation and analysis of cryptosystems. Autom. 173: 112022 (2025)- [j183]Janani Venkatasubramanian, Johannes Köhler, Julian Berberich, Frank Allgöwer:
Sequential Learning and Control: Targeted Exploration for Robust Performance. IEEE Trans. Autom. Control. 70(1): 307-322 (2025) - [j182]Robin Strässer, Manuel Schaller, Karl Worthmann, Julian Berberich, Frank Allgöwer:
Koopman-Based Feedback Design With Stability Guarantees. IEEE Trans. Autom. Control. 70(1): 355-370 (2025) - [i144]Felix Brändle, David Meister, Marc Seidel, Robin Strässer, Frank Allgöwer:
On the effects of angular acceleration in orientation estimation using inertial measurement units. CoRR abs/2502.03681 (2025) - [i143]Robin Strässer, Manuel Schaller, Julian Berberich, Karl Worthmann, Frank Allgöwer:
Kernel-based error bounds of bilinear Koopman surrogate models for nonlinear data-driven control. CoRR abs/2503.13407 (2025) - [i142]Mahathi Anand, Raphaël M. Jungers, Majid Zamani, Frank Allgöwer:
On the Completeness and Ordering of Path-Complete Barrier Functions. CoRR abs/2503.19561 (2025) - [i141]Lukas Schwenkel, Johannes Köhler, Matthias Albrecht Müller, Carsten W. Scherer, Frank Allgöwer:
Multi-objective robust controller synthesis with integral quadratic constraints in discrete-time. CoRR abs/2503.22429 (2025) - 2024
- [j181]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) - [j180]Lukas Schwenkel, Alexander Hadorn, Matthias A. Müller, Frank Allgöwer:
Linearly discounted economic MPC without terminal conditions for periodic optimal operation. Autom. 159: 111393 (2024) - [j179]Michael Hertneck, Simon Lang, Julian Berberich, Frank Allgöwer:
Event-Triggered Control Based on Integral Quadratic Constraints. IEEE Control. Syst. Lett. 8: 2039-2044 (2024) - [j178]Sebastian Schlor, Frank Allgöwer:
Bootstrapping Guarantees: Stability and Performance Analysis for Dynamic Encrypted Control. IEEE Control. Syst. Lett. 8: 2235-2240 (2024) - [j177]Augusto Bozza, Tim Martin, Graziana Cavone, Raffaele Carli, Mariagrazia Dotoli, Frank Allgöwer:
Online Data-Driven Control of Nonlinear Systems Using Semidefinite Programming. IEEE Control. Syst. Lett. 8: 3189-3194 (2024) - [j176]Marc Seidel, Simon Lang, Frank Allgöwer:
On ℓ2-performance of weakly-hard real-time control systems. Eur. J. Control 80: 101056 (2024) - [j175]Tim Martin, Frank Allgöwer:
Data-Driven System Analysis of Nonlinear Systems Using Polynomial Approximation. IEEE Trans. Autom. Control. 69(7): 4261-4274 (2024) - [j174]Matthias Köhler, Matthias A. Müller, Frank Allgöwer:
Distributed MPC for Self-Organized Cooperation of Multiagent Systems. IEEE Trans. Autom. Control. 69(11): 7988-7995 (2024) - [j173]Chris Verhoek, Julian Berberich, Sofie Haesaert, Frank Allgöwer, Roland Tóth:
Data-Driven Dissipativity Analysis of Linear Parameter-Varying Systems. IEEE Trans. Autom. Control. 69(12): 8603-8616 (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) - [c266]Yifan Xie, Julian Berberich, Frank Allgöwer:
Data-Driven Min-Max MPC for Linear Systems. ACC 2024: 3184-3189 - [c265]Karl Worthmann, Robin Strässer, Manuel Schaller, Julian Berberich, Frank Allgöwer:
Data-driven MPC with terminal conditions in the Koopman framework. CDC 2024: 146-151 - [c264]Mahathi Anand, Raphaël M. Jungers, Majid Zamani, Frank Allgöwer:
Path-Complete Barrier Functions for Safety of Switched Linear Systems. CDC 2024: 7423-7428 - [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 - [i140]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) - [i139]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) - [i138]Patricia Pauli, Dennis Gramlich, Frank Allgöwer:
State space representations of the Roesser type for convolutional layers. CoRR abs/2403.11938 (2024) - [i137]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) - [i136]Sebastian Schlor, Frank Allgöwer:
Bootstrapping Guarantees: Stability and Performance Analysis for Dynamic Encrypted Control. CoRR abs/2403.18571 (2024) - [i135]Yifan Xie, Julian Berberich, Frank Allgöwer:
Data-Driven Min-Max MPC for Linear Systems: Robustness and Adaptation. CoRR abs/2404.19096 (2024) - [i134]Patricia Pauli, Dennis Gramlich, Frank Allgöwer:
Lipschitz constant estimation for general neural network architectures using control tools. CoRR abs/2405.01125 (2024) - [i133]David Meister, Duarte J. Antunes, Frank Allgöwer:
How improving performance may imply losing consistency in event-triggered consensus. CoRR abs/2405.03245 (2024) - [i132]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) - [i131]Julian Berberich, Frank Allgöwer:
An overview of systems-theoretic guarantees in data-driven model predictive control. CoRR abs/2406.04130 (2024) - [i130]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) - [i129]Nicolas Chatzikiriakos, Robin Strässer, Frank Allgöwer, Andrea Iannelli:
End-to-end guarantees for indirect data-driven control of bilinear systems with finite stochastic data. CoRR abs/2409.18010 (2024) - [i128]Felix Brändle, Frank Allgöwer:
A System Parameterization for Direct Data-Driven Estimator Synthesis. CoRR abs/2410.10681 (2024) - [i127]Patricia Pauli, Ruigang Wang, Ian R. Manchester, Frank Allgöwer:
LipKernel: Lipschitz-Bounded Convolutional Neural Networks via Dissipative Layers. CoRR abs/2410.22258 (2024) - [i126]Robin Strässer, Julian Berberich, Frank Allgöwer:
Koopman-based control using sum-of-squares optimization: Improved stability guarantees and data efficiency. CoRR abs/2411.03875 (2024) - [i125]Yifan Xie, Julian Berberich, Felix Brändle, Frank Allgöwer:
Data-Driven Min-Max MPC for LPV Systems with Unknown Scheduling Signal. CoRR abs/2411.05624 (2024) - [i124]Felix Brändle, Frank Allgöwer:
A System Parametrization for Direct Data-Driven Analysis and Control with Error-in-Variables. CoRR abs/2411.06787 (2024) - [i123]Simon Lang, Marc Seidel, Frank Allgöwer:
Robust performance for switched systems with constrained switching and its application to weakly hard real-time control systems. CoRR abs/2411.08436 (2024) - [i122]Robin Strässer, Julian Berberich, Manuel Schaller, Karl Worthmann, Frank Allgöwer:
Koopman-based control of nonlinear systems with closed-loop guarantees. CoRR abs/2411.10359 (2024) - [i121]Janani Venkatasubramanian, Johannes Köhler, Mark Cannon, Frank Allgöwer:
Robust targeted exploration for systems with non-stochastic disturbances. CoRR abs/2412.20426 (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) - [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 - [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
- [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) - [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 - [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
- [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) - [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 - [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
- [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) - [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 - [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)
2010 – 2019
- 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) - [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 - [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
- [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) - [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 - [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
- [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) - [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 - [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
- [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) - [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 - [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
- [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) - [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 - [r1]Steffen Waldherr, Frank Allgöwer:
Robustness Analysis of Biological Models. Encyclopedia of Systems and Control 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
- [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) - [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 - [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
- [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) - [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 - [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) - 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) - [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
- [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) - [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
- [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) - [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
2000 – 2009
- 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) - [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
- [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) - [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
- [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) - [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
- [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) - [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
- [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) - [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
- [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) - [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
1990 – 1999
- 1999
- [c1]Eric Bullinger, Frank Allgöwer:
Adaptive X-tracking for linear systems with higher relative degree - The continuous adaptation case. ECC 1999: 873-878 - 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)
Coauthor Index
[j183] [j182] [i143] [j179] [j173] [c266] [c265] [i139] [i135] [i131] [i130] [i126] [i125] [i122] [j163] [j160] [j159] [j158] [j155] [c261] [c258] [i120] [i117] [i112] [i111] [i105] [i103] [j153] [j152] [j149] [j148] [j147] [c250] [c249] [i99] [i98] [i96] [i94] [i93] [i90] [i88] [i84] [i79] [j146] [j145] [j142] [j137] [c245] [c242] [c241] [c240] [c238] [c236] [c235] [i78] [i76] [i75] [i73] [i72] [i70] [i68] [i64] [i63] [i62] [i57] [j134] [c234] [c232] [c228] [c227] [c222] [i54] [i53] [i51] [i50] [i47] [i46] [i42] [i40] [i38] [i37] [i36] [j121] [c218] [i34] [i33] [i28] [i25] [j115]