default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDRolf Findeisen
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j41]Joachim Schaeffer
, Jinwook Rhyu, Robin Droop, Rolf Findeisen, Richard D. Braatz:
Interpretation of high-dimensional regression coefficients by comparison with linearized compressing features. Comput. Chem. Eng. 198: 109099 (2025)- [j40]Mingyan Zhao, Tao Liu, Bo Song, Jianping Fan, Xiongwei Ni, Rolf Findeisen:
Design-of-experiments based modeling & optimization of LGA cooling crystallization via continuous oscillatory baffled crystallizer. Comput. Chem. Eng. 199: 109126 (2025) - [i43]Hendrik Alsmeier, Lukas Theiner, Anton Savchenko, Ali Mesbah, Rolf Findeisen:
Imitation Learning of MPC with Neural Networks: Error Guarantees and Sparsification. CoRR abs/2501.03671 (2025) - [i42]Lukas Theiner, Sebastian Hirt, Alexander Steinke, Rolf Findeisen:
Exploiting Prior Knowledge in Preferential Learning of Individualized Autonomous Vehicle Driving Styles. CoRR abs/2503.15407 (2025) - [i41]Sebastian Gasche, Christian Kallies, Andreas Himmel, Rolf Findeisen:
A Modular Energy Aware Framework for Multicopter Modeling in Control and Planning Applications. CoRR abs/2504.03256 (2025) - [i40]Sebastian Gasche, Christian Kallies, Andreas Himmel, Rolf Findeisen:
Energy Aware and Safe Path Planning for Unmanned Aircraft Systems. CoRR abs/2504.03271 (2025) - [i39]Ján Drgona, Truong X. Nghiem, Thomas Beckers, Mahyar Fazlyab, Enrique Mallada, Colin N. Jones, Draguna L. Vrabie, Steven L. Brunton, Rolf Findeisen:
Safe Physics-Informed Machine Learning for Dynamics and Control. CoRR abs/2504.12952 (2025) - 2024
- [j39]Joachim Schaeffer, Eric Lenz, William C. Chueh, Martin Z. Bazant, Rolf Findeisen, Richard D. Braatz:
Interpretation of high-dimensional linear regression: Effects of nullspace and regularization demonstrated on battery data. Comput. Chem. Eng. 180: 108471 (2024) - [j38]Cheng Jiang, Xue Li, Dajun Du, Lei Wu, Rolf Findeisen:
Cross-Domain Authentication Scheme Based on Distributed Two-Layer Collaborative Blockchains for Cyber-Physical Power Systems. IEEE Internet Things J. 11(10): 17468-17481 (2024) - [j37]Jun Fu, Yanhui Liu, Rolf Findeisen, Tianyou Chai:
Model Predictive Control With Guaranteed Feasibility of Inequality Path Constraints. IEEE Trans. Cybern. 54(12): 7767-7779 (2024) - [c138]Joachim Schaeffer, Giacomo Galuppini, Jinwook Rhyu, Patrick A. Asinger, Robin Droop, Rolf Findeisen, Richard D. Braatz:
Cycle Life Prediction for Lithium-ion Batteries: Machine Learning and More. ACC 2024: 763-768 - [c137]Hendrik Alsmeier, Anton Savchenko, Rolf Findeisen:
Neural Horizon Model Predictive Control - Increasing Computational Efficiency with Neural Networks. ACC 2024: 1646-1651 - [c136]Maik Pfefferkorn, Venkatraman Renganathan, Rolf Findeisen:
Regret and Conservatism of Distributionally Robust Constrained Stochastic Model Predictive Control. ACC 2024: 3251-3257 - [c135]Minsu Kim, Joachim Schaeffer, Marc D. Berliner, Berta Pedret Sagnier, Rolf Findeisen, Richard D. Braatz:
Accounting for the Effects of Probabilistic Uncertainty During Fast Charging of Lithium-ion Batteries. ACC 2024: 5339-5344 - [c134]Keivan Ahmadi, Rudolph L. Kok, Rolf Findeisen:
Surrogate Model Supported Optimization of high-definition Temporal Interference Stimulation. BioCAS 2024: 1-5 - [c133]Maik Pfefferkorn, Rolf Findeisen:
Probabilistically Input-to-State Stable Stochastic Model Predictive Control. CDC 2024: 1807-1813 - [c132]Roland Schurig, Eric Lenz, Andreas Himmel, Rolf Findeisen:
On State Reconstruction for Linear Reduced-Order Output Feedback Optimal Control. CDC 2024: 1826-1831 - [c131]Sebastian Hirt, Maik Pfefferkorn, Rolf Findeisen:
Safe and Stable Closed-Loop Learning for Neural-Network-Supported Model Predictive Control. CDC 2024: 4764-4770 - [c130]Hendrik Alsmeier, Lukas Theiner, Anton Savchenko, Ali Mesbah, Rolf Findeisen:
Imitation Learning of MPC with Neural Networks: Error Guarantees and Sparsification. CDC 2024: 4777-4782 - [c129]Philipp Holzmann, Maik Pfefferkorn, Jan Peters, Rolf Findeisen:
Learning Energy-Efficient Trajectory Planning for Robotic Manipulators Using Bayesian Optimization. ECC 2024: 1374-1379 - [c128]Tingzhong Fu, Hoang Hai Nguyen, Rolf Findeisen:
Guaranteed Collision Avoidance for Autonomous Vehicles Fusing Model Predictive Control and Data Driven Reachability Analysis. ECC 2024: 2286-2291 - [c127]Roland Schurig, Andreas Himmel, Rolf Findeisen:
Geometric Data-Driven Dimensionality Reduction in MPC with Guarantees. ECC 2024: 3164-3170 - [c126]Mohamed Soliman, Rolf Findeisen:
Moving Horizon Planning and Control for Autonomous Vehicles with Active Exploration and Fallback Strategies. ICINCO (1) 2024: 359-367 - [i38]Sebastián Espinel-Ríos, Gerrich Behrendt, Jasmin Bauer, Bruno Morabito, Johannes Pohlodek, Andrea Schütze, Rolf Findeisen, Katja Bettenbrock, Steffen Klamt:
Experimentally implemented dynamic optogenetic optimization of ATPase expression using knowledge-based and Gaussian-process-supported models. CoRR abs/2401.08556 (2024) - [i37]Joachim Schaeffer, Giacomo Galuppini, Jinwook Rhyu, Patrick A. Asinger, Robin Droop, Rolf Findeisen, Richard D. Braatz:
Cycle Life Prediction for Lithium-ion Batteries: Machine Learning and More. CoRR abs/2404.04049 (2024) - [i36]Sebastian Hirt, Andreas Höhl, Joachim Schaeffer, Johannes Pohlodek, Richard D. Braatz, Rolf Findeisen:
Learning Model Predictive Control Parameters via Bayesian Optimization for Battery Fast Charging. CoRR abs/2404.06125 (2024) - [i35]Sebastian Hirt, Maik Pfefferkorn, Ali Mesbah, Rolf Findeisen:
Stability-informed Bayesian Optimization for MPC Cost Function Learning. CoRR abs/2404.12187 (2024) - [i34]Minsu Kim, Joachim Schaeffer, Marc D. Berliner, Berta Pedret Sagnier, Rolf Findeisen, Richard D. Braatz:
Accounting for the Effects of Probabilistic Uncertainty During Fast Charging of Lithium-ion Batteries. CoRR abs/2405.01681 (2024) - [i33]Joachim Schaeffer, Eric Lenz, Duncan Gulla, Martin Z. Bazant, Richard D. Braatz, Rolf Findeisen:
Lithium-Ion Battery System Health Monitoring and Fault Analysis from Field Data Using Gaussian Processes. CoRR abs/2406.19015 (2024) - [i32]Hendrik Alsmeier, Anton Savchenko, Rolf Findeisen:
Neural Horizon Model Predictive Control - Increasing Computational Efficiency with Neural Networks. CoRR abs/2408.09781 (2024) - [i31]Sebastian Hirt, Maik Pfefferkorn, Rolf Findeisen:
Safe and Stable Closed-Loop Learning for Neural-Network-Supported Model Predictive Control. CoRR abs/2409.10171 (2024) - [i30]Sebastian Hirt, Andreas Höhl, Johannes Pohlodek, Joachim Schaeffer, Maik Pfefferkorn, Richard D. Braatz, Rolf Findeisen:
Safe Learning-Based Optimization of Model Predictive Control: Application to Battery Fast-Charging. CoRR abs/2410.04982 (2024) - [i29]Alexander Rose, Philipp Schaub, Rolf Findeisen:
Safe and High-Performance Learning of Model Predicitve Control using Kernel-Based Interpolation. CoRR abs/2410.06771 (2024) - [i28]Maik Pfefferkorn, Rolf Findeisen:
Probabilistically Input-to-State Stable Stochastic Model Predictive Control. CoRR abs/2410.08186 (2024) - [i27]Joachim Schaeffer, Jinwook Rhyu, Robin Droop, Rolf Findeisen, Richard D. Braatz:
Interpretation of High-Dimensional Regression Coefficients by Comparison with Linearized Compressing Features. CoRR abs/2411.12060 (2024) - [i26]Sebastian Hirt, Lukas Theiner, Rolf Findeisen:
Time-Series-Informed Closed-loop Learning for Sequential Decision Making and Control. CoRR abs/2412.02423 (2024) - 2023
- [j36]Roland Schurig, Andreas Himmel, Rolf Findeisen:
Toward Grassmannian Dimensionality Reduction in MPC. IEEE Control. Syst. Lett. 7: 3187-3192 (2023) - [j35]Yiming Wan, Dongying E. Shen, Sergio Lucia, Rolf Findeisen, Richard D. Braatz:
A Polynomial Chaos Approach to Robust Static Output-Feedback Control With Bounded Truncation Error. IEEE Trans. Autom. Control. 68(1): 470-477 (2023) - [j34]Janine Matschek, Johanna Bethge, Rolf Findeisen:
Safe Machine-Learning-Supported Model Predictive Force and Motion Control in Robotics. IEEE Trans. Control. Syst. Technol. 31(6): 2380-2392 (2023) - [j33]Jun Fu, Junfei Qiao, Kok Lay Teo, Rolf Findeisen:
Guest Editorial: Special Issue on Theory, Algorithms, and Applications for Hybrid Intelligent Dynamic Optimization. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5231-5233 (2023) - [c125]Johannes Pohlodek, Hendrik Alsmeier, Bruno Morabito, Christian Schlauch, Anton Savchenko, Rolf Findeisen:
Stochastic Model Predictive Control Utilizing Bayesian Neural Networks. ACC 2023: 603-608 - [c124]Janine Matschek, Marc D. Berliner, Andreas Himmel, Richard D. Braatz, Rolf Findeisen:
Necessary Optimality Conditions for Fast Lithium-ion Battery Charging via Hybrid Simulations. ACC 2023: 3783-3789 - [c123]Roland Schurig, Andreas Himmel, Amer Mesanovic, Richard D. Braatz, Rolf Findeisen:
Estimating Parameter Regions for Structured Parameter Tuning via Reduced Order Subsystem Models. ACC 2023: 3809-3814 - [c122]Andreas Höhl, Michael Maiworm, Rolf Findeisen:
Path Following or Tracking Model Predictive Control for Towing Kites - A Question of Formulation or Learning? CCTA 2023: 459-465 - [c121]Felix Häusser, Andreas Himmel, Kai S. Karvinen, Rolf Findeisen:
Data-driven Adaptive Surface Control for Automated Directional Drilling. CCTA 2023: 520-525 - [c120]Alexander Rose, Maik Pfefferkorn, Hoang Hai Nguyen, Rolf Findeisen:
Learning a Gaussian Process Approximation of a Model Predictive Controller with Guarantees. CDC 2023: 4094-4099 - [c119]Bahaaeldin Elsayed, Mohamed Ibrahim, Rolf Findeisen:
Moving Horizon Planning and Control Under Uncertainties with Guarantees - Combining Operational Choices and Motion Primitives. CoDIT 2023: 2384-2389 - [c118]Bahaaeldin Elsayed, Rolf Findeisen:
Generic Motion Primitives-based Safe Motion Planner under Uncertainty for Autonomous Navigation in Cluttered Environments. ICAT 2023: 1-6 - [c117]Bahaaeldin Elsayed, Rolf Findeisen:
Trajectory Planning for Multiple Vehicles Using Motion Primitives: A Moving Horizon Approach Under Uncertainty. ICINCO (1) 2023: 229-236 - [c116]Felix Laub, Christoph Haugwitz, Gianni Allevato, Julian Seiler, Rolf Findeisen, Mario Kupnik:
Non-Contact Lamb Wave Defect Detection Based Solely on Air-Coupled Ultrasonic Phased Arrays. SENSORS 2023: 1-4 - [i25]Andreas Himmel, Janine Matschek, Rudolph Kok, Bruno Morabito, Hoang Hai Nguyen, Rolf Findeisen:
Machine Learning for Process Control of (Bio)Chemical Processes. CoRR abs/2301.06073 (2023) - [i24]Sebastián Espinel-Ríos, Bruno Morabito, Johannes Pohlodek, Katja Bettenbrock, Steffen Klamt, Rolf Findeisen:
Towards a modeling, optimization and predictive control framework for fed-batch metabolic cybergenetics. CoRR abs/2302.02177 (2023) - [i23]Joachim Schaeffer, Paul Gasper, Esteban García Tamayo, Raymond Gasper, Masaki Adachi, Juan Pablo Gaviria-Cardona, Simon Montoya-Bedoya, Anoushka Bhutani, Andrew Schiek, Rhys Goodall, Rolf Findeisen, Richard D. Braatz, Simon Engelke:
Machine learning benchmarks for the classification of equivalent circuit models from solid-state electrochemical impedance spectra. CoRR abs/2302.03362 (2023) - [i22]Janine Matschek, Johanna Bethge, Rolf Findeisen:
Safe Machine-Learning-supported Model Predictive Force and Motion Control in Robotics. CoRR abs/2303.04569 (2023) - [i21]Johanna Bethge, Maik Pfefferkorn, Alexander Rose, Jan Peters, Rolf Findeisen:
Model Predictive Control with Gaussian-Process-Supported Dynamical Constraints for Autonomous Vehicles. CoRR abs/2303.04725 (2023) - [i20]Hoang Hai Nguyen, Maurice Friedel, Rolf Findeisen:
LMI-based Data-Driven Robust Model Predictive Control. CoRR abs/2303.04777 (2023) - [i19]Johannes Pohlodek, Hendrik Alsmeier, Bruno Morabito, Christian Schlauch, Anton Savchenko, Rolf Findeisen:
Stochastic Model Predictive Control Utilizing Bayesian Neural Networks. CoRR abs/2303.14519 (2023) - [i18]Joachim Schaeffer, Eric Lenz, William C. Chueh, Martin Z. Bazant, Rolf Findeisen, Richard D. Braatz:
Interpretation of High-Dimensional Linear Regression: Effects of Nullspace and Regularization Demonstrated on Battery Data. CoRR abs/2309.00564 (2023) - [i17]Maik Pfefferkorn, Venkatraman Renganathan, Rolf Findeisen:
Regret and Conservatism of Constrained Stochastic Model Predictive Control. CoRR abs/2309.12190 (2023) - [i16]Roland Schurig, Andreas Himmel, Rolf Findeisen:
Geometric Data-Driven Dimensionality Reduction in MPC with Guarantees. CoRR abs/2312.02734 (2023) - 2022
- [j32]Hoang Hai Nguyen, Maik Pfefferkorn, Rolf Findeisen:
High-probability stable Gaussian process-supported model predictive control for Lur'e systems. Eur. J. Control 68: 100695 (2022) - [j31]Amer Mesanovic, Ulrich Münz, Rolf Findeisen:
Scalable and Data Privacy Conserving Controller Tuning for Large-Scale Power Networks. IEEE Trans. Control. Syst. Technol. 30(2): 696-711 (2022) - [c115]Bruno Morabito, Hoang Hai Nguyen, Janine Matschek, Rolf Findeisen:
Safe Exploration Learning Supported Model Predictive Control of Repetitive Processes. ACC 2022: 2631-2636 - [c114]Christina Eckel, Michael Maiworm, Rolf Findeisen:
Optimal Operation and Control of Towing Kites using Online and Offline Gaussian Process Learning Supported Model Predictive Control. ACC 2022: 2637-2643 - [c113]Maik Pfefferkorn, Michael Maiworm, Rolf Findeisen:
Exact Multiple-Step Predictions in Gaussian Process-based Model Predictive Control: Observations, Possibilities, and Challenges. ACC 2022: 2829-2836 - [c112]Tim Zieger, Hoang Hai Nguyen, Erik Schulz, Thimo Oehlschlägel, Rolf Findeisen:
Non-diverging neural networks supported tube model predictive control. CDC 2022: 3066-3073 - [c111]Philipp Holzmann, Janine Matschek, Maik Pfefferkorn, Rolf Findeisen:
Learning secure corridors for model predictive path following control of autonomous systems in cluttered environments. ECC 2022: 1772-1777 - [i15]Johannes Pohlodek, Bruno Morabito, Christian Schlauch, Pablo Zometa, Rolf Findeisen:
Flexible development and evaluation of machine-learning-supported optimal control and estimation methods via HILO-MPC. CoRR abs/2203.13671 (2022) - [i14]Markus Koegel, Mohamed Ibrahim, Christian Kallies, Rolf Findeisen:
Safe Hierarchical Model Predictive Control and Planning for Autonomous Systems. CoRR abs/2203.14269 (2022) - 2021
- [j30]Yiming Wan, Dongying E. Shen, Sergio Lucia, Rolf Findeisen, Richard D. Braatz:
Polynomial chaos-based H2 output-feedback control of systems with probabilistic parametric uncertainties. Autom. 131: 109743 (2021) - [c110]Tim Zieger, Anton Savchenko, Thimo Oehlschlägel, Rolf Findeisen:
One-Step Safe Neural Network Supported Control. ACC 2021: 514-519 - [c109]Markus J. Kögel, Rolf Findeisen:
Reducing conservatism in stochastic model predictive blending multiple control gains. ACC 2021: 2094-2101 - [c108]Hoang Hai Nguyen, Tim Zieger, Sandra C. Wells, Anastasia Nikolakopoulou, Richard D. Braatz, Rolf Findeisen:
Stability Certificates for Neural Network Learning-based Controllers using Robust Control Theory. ACC 2021: 3564-3569 - [c107]Markus J. Kögel, Rolf Findeisen:
Robust output feedback MPC with reduced conservatism for linear uncertain systems using time varying tubes. CDC 2021: 2571-2577 - [i13]Yiming Wan, Dongying E. Shen, Sergio Lucia, Rolf Findeisen, Richard D. Braatz:
A Polynomial Chaos Approach to Robust H∞ Static Output-Feedback Control with Bounded Truncation Error. CoRR abs/2102.08626 (2021) - [i12]Michael Maiworm, Christian Wagner, Taner Esat, Philipp Leinen, Ruslan Temirov, Rolf Findeisen, F. Stefan Tautz:
Control of Scanning Quantum Dot Microscopy. CoRR abs/2102.12708 (2021) - [i11]Joe Watson, Hany Abdulsamad, Rolf Findeisen, Jan Peters:
Stochastic Control through Approximate Bayesian Input Inference. CoRR abs/2105.07693 (2021) - 2020
- [j29]Armin Nurkanovic, Amer Mesanovic, Mario Sperl, Sebastian Albrecht, Ulrich Münz, Rolf Findeisen, Moritz Diehl:
Optimization-based primary and secondary control of microgrids. Autom. 68(12): 1044-1058 (2020) - [j28]Banafsheh Jabarivelisdeh, Lisa Carius, Rolf Findeisen, Steffen Waldherr:
Adaptive predictive control of bioprocesses with constraint-based modeling and estimation. Comput. Chem. Eng. 135: 106744 (2020) - [j27]Tillmann Mühlpfordt, Rolf Findeisen, Veit Hagenmeyer, Timm Faulwasser:
Errata for "Comments on Truncation Errors for Polynomial Chaos Expansions". IEEE Control. Syst. Lett. 4(2): 504-505 (2020) - [j26]Gustavo Hernandez-Mejia, Alma Y. Alanis, Miguel Hernández-González, Rolf Findeisen, Esteban A. Hernández-Vargas:
Passivity-Based Inverse Optimal Impulsive Control for Influenza Treatment in the Host. IEEE Trans. Control. Syst. Technol. 28(1): 94-105 (2020) - [c106]Johanna Bethge, Shuyou Yu, Rolf Findeisen:
Model predictive control with guarantees for discrete linear stochastic systems subject to additive disturbances with chance constraints. ACC 2020: 1943-1948 - [c105]Markus J. Kögel, Rolf Findeisen:
Robust MPC with Reduced Conservatism Blending Multiples Tubes. ACC 2020: 1949-1954 - [c104]Hoang Hai Nguyen, Janine Matschek, Tim Zieger, Anton Savchenko, Navid Noroozi, Rolf Findeisen:
Towards nominal stability certification of deep learning-based controllers. ACC 2020: 3886-3891 - [c103]Petar Andonov, Anton Savchenko, Philipp Rumschinski, Thomas Trenner, Jörg Neidig, Rolf Findeisen:
Monitoring and verification of event-driven transportation systems in discrete manufacturing. CCTA 2020: 1-7 - [c102]Janine Matschek, Reni Jordanowa, Rolf Findeisen:
Direct Force Feedback using Gaussian Process based Model Predictive Control. CCTA 2020: 8-13 - [c101]Maik Pfefferkorn, Michael Maiworm, Christian Wagner, F. Stefan Tautz, Rolf Findeisen:
Fusing Online Gaussian Process-Based Learning and Control for Scanning Quantum Dot Microscopy. CDC 2020: 5525-5531 - [c100]Mohamed Ibrahim, Christian Kallies, Rolf Findeisen:
Learning-Supported Approximated Optimal Control for Autonomous Vehicles in the Presence of State Dependent Uncertainties. ECC 2020: 338-343 - [c99]Janine Matschek, Tim Gonschorek, Magnus Hanses, Norbert Elkmann, Frank Ortmeier, Rolf Findeisen:
Learning References with Gaussian Processes in Model Predictive Control applied to Robot Assisted Surgery. ECC 2020: 362-367 - [c98]Lingyu Meng, Shuyou Yu, Huan Chang, Rolf Findeisen, Hong Chen:
Path following and terminal force control of robotic manipulators. ICCA 2020: 1482-1487 - [c97]Janine Matschek, Rolf Findeisen:
Learning supported Model Predictive Control for Tracking of Periodic References. L4DC 2020: 511-520 - [i10]Maik Pfefferkorn, Michael Maiworm, Christian Wagner, F. Stefan Tautz, Rolf Findeisen:
Fusing Online Gaussian Process-Based Learning and Control for Scanning Quantum Dot Microscopy. CoRR abs/2004.02488 (2020) - [i9]Amer Mesanovic, Ulrich Münz, Rolf Findeisen:
Controller tuning in power systems using singular value optimization. CoRR abs/2005.03949 (2020)
2010 – 2019
- 2019
- [j25]Henning Lindhorst, Sergio Lucia, Rolf Findeisen, Steffen Waldherr:
Modeling Enzyme Controlled Metabolic Networks in Rapidly Changing Environments by Robust Optimization. IEEE Control. Syst. Lett. 3(2): 248-253 (2019) - [c96]Stefano Di Cairano, Tobias Bäthge, Rolf Findeisen:
Modular Design for Constrained Control of Actuator-Plant Cascades. ACC 2019: 1755-1760 - [c95]Petar Andonov, Anton Savchenko, Rolf Findeisen:
Controller Parametrization for Offset-free Control Using Set-Based Feasibility Methods. ACC 2019: 2795-2800 - [c94]Markus J. Kögel, Rolf Findeisen:
Combined online communication scheduling and output feedback MPC of cyber-physical systems. CCNC 2019: 1-6 - [c93]Seyed Hossein Mousavi, Navid Noroozi, Roman Geiselhart, Markus J. Kögel, Rolf Findeisen:
On integral input-to-state stability of event-triggered control systems. CDC 2019: 1674-1679 - [c92]Navid Noroozi, Roxanne Jackson, Daniel E. Quevedo, Fabian R. Wirth, Rolf Findeisen:
On noise-to-state stability of stochastic discrete-time systems via finite-step Lyapunov functions. CDC 2019: 5406-5411 - [c91]Markus J. Kögel, Daniel E. Quevedo, Rolf Findeisen:
Combined control and communication scheduling for constrained system using robust output feedback MPC. ECC 2019: 1778-1783 - [i8]Amer Mesanovic, Ulrich Münz, Andrei Szabo, Martin Mangold, Joachim Bamberger, Michael Metzger, Chris Heyde, Rainer Krebs, Rolf Findeisen:
Guaranteed H-infinity Controller Parameter Tuning for Power Systems: Method and Experimental Evaluation. CoRR abs/1910.12335 (2019) - [i7]Amer Mesanovic, Ulrich Münz, Rolf Findeisen:
Scalable and Data Privacy Conserving Controller Tuning for Large-Scale Power Networks. CoRR abs/1911.01499 (2019) - [i6]Michael Maiworm, Daniel Limón, Rolf Findeisen:
Online Gaussian Process learning-based Model Predictive Control with Stability Guarantees. CoRR abs/1911.03315 (2019) - [i5]Janine Matschek, Tim Gonschorek, Magnus Hanses, Norbert Elkmann, Frank Ortmeier, Rolf Findeisen:
Learning References with Gaussian Processes in Model Predictive Control applied to Robot Assisted Surgery. CoRR abs/1911.10793 (2019) - 2018
- [j24]Rolf Findeisen, Knut Graichen, Martin Mönnigmann:
Eingebettete Optimierung in der Regelungstechnik - Grundlagen und Herausforderungen. Autom. 66(11): 877-902 (2018) - [j23]Sergio Lucia, Denis Navarro, Oscar Lucía, Pablo Zometa, Rolf Findeisen:
Optimized FPGA Implementation of Model Predictive Control for Embedded Systems Using High-Level Synthesis Tool. IEEE Trans. Ind. Informatics 14(1): 137-145 (2018) - [c90]Michael Kopf, Eric Bullinger, Hans-Gerd Giesseler, Stephan Adden, Rolf Findeisen:
Model Predictive Control for Aircraft Load Alleviation: Opportunities and Challenges. ACC 2018: 2417-2424 - [c89]Khalid J. Kazim, Johanna Bethge, Janine Matschek, Rolf Findeisen:
Combined Predictive Path Following and Admittance Control. ACC 2018: 3153-3158 - [c88]Amer Mesanovic, Dominik Unseld, Ulrich Münz, Christian Ebenbauer, Rolf Findeisen:
Parameter Tuning and Optimal Design of Decentralized Structured Controllers for Power Oscillation Damping in Electrical Networks. ACC 2018: 3828-3833 - [c87]Michael Maiworm, Christian Wagner, Ruslan Temirov, F. Stefan Tautz, Rolf Findeisen:
Two-degree-of-freedom control combining machine learning and extremum seeking for fast scanning quantum dot microscopy. ACC 2018: 4360-4366 - [c86]Yiming Wan, Dongying E. Shen, Sergio Lucia, Rolf Findeisen, Richard D. Braatz:
Robust Static H∞ Output-Feedback Control Using Polynomial Chaos. ACC 2018: 6804-6809 - [c85]Markus J. Kögel, Rolf Findeisen:
Improved Robust Decentralized MPC. ECC 2018: 312-318 - [c84]Markus J. Kögel, Petar Andonov, Marco Filax, Frank Ortmeier, Rolf Findeisen:
Predictive Tracking Control of a Camera - Head Mounted Display System subject to Communication Constraints. ECC 2018: 1035-1041 - [c83]Petar Andonov, Bruno Morabito, Anton Savchenko, Rolf Findeisen:
Admissible Control Parametrization of Uncertain Finite-time Processes With Application to Li-ion Battery Management. ECC 2018: 2338-2343 - [c82]Amer Mesanovic, Ulrich Münz, Joachim Bamberger, Rolf Findeisen:
Controller Tuning for the Improvement of Dynamic Security in Power Systems. ISGT Europe 2018: 1-6 - 2017
- [j22]Timm Faulwasser, Tobias Weber, Pablo Zometa, Rolf Findeisen:
Implementation of Nonlinear Model Predictive Path-Following Control for an Industrial Robot. IEEE Trans. Control. Syst. Technol. 25(4): 1505-1511 (2017) - [c81]Masako Kishida, Markus J. Kögel, Rolf Findeisen:
Event-triggered actuator signal update using self-triggered sampled data for uncertain linear systems. ACC 2017: 3035-3041 - [c80]Bruno Morabito, Reinhardt Klein, Rolf Findeisen:
Real time feasibility and performance of moving horizon estimation for Li-ion batteries based on first principles electrochemical models. ACC 2017: 3457-3462 - [c79]Sergio Lucia, Marcello Torchio, Davide Martino Raimondo, Reinhardt Klein, Richard D. Braatz, Rolf Findeisen:
Towards adaptive health-aware charging of Li-ion batteries: A real-time predictive control approach using first-principles models. ACC 2017: 4717-4722 - [c78]Sergio Lucia, Joel A. Paulson, Rolf Findeisen, Richard D. Braatz:
On stability of stochastic linear systems via polynomial chaos expansions. ACC 2017: 5089-5094 - [c77]Markus J. Kögel, Rolf Findeisen:
Low latency output feedback model predictive control for constrained linear systems. CDC 2017: 1925-1932 - [c76]Amer Mesanovic, Ulrich Münz, Rolf Findeisen:
Coordinated tuning of synchronous generator controllers for power oscillation damping. ISGT Europe 2017: 1-6 - [i4]Tillmann Mühlpfordt, Rolf Findeisen, Veit Hagenmeyer, Timm Faulwasser:
Comments on Truncation Errors for Polynomial Chaos Expansions. CoRR abs/1708.07655 (2017) - 2016
- [j21]Sergio Lucia, Markus J. Kögel, Pablo Zometa, Daniel E. Quevedo, Rolf Findeisen:
Predictive control, embedded cyberphysical systems and systems of systems - A perspective. Annu. Rev. Control. 41: 193-207 (2016) - [j20]Timm Faulwasser, Rolf Findeisen:
Nonlinear Model Predictive Control for Constrained Output Path Following. IEEE Trans. Autom. Control. 61(4): 1026-1039 (2016) - [c75]Tillmann Muhlpfordt, Joel A. Paulson, Richard D. Braatz, Rolf Findeisen:
Output feedback model predictive control with probabilistic uncertainties for linear systems. ACC 2016: 2035-2040 - [c74]Rolf Findeisen, Martha A. Grover, Christian Wagner, Michael Maiworm, Ruslan Temirov, F. Stefan Tautz, Murti V. Salapaka, Srinivasa M. Salapaka, Richard D. Braatz, S. O. Reza Moheimani:
Control on a molecular scale: A perspective. ACC 2016: 3069-3082 - [c73]Michael Maiworm, Christian Wagner, F. Stefan Tautz, Rolf Findeisen:
Manipulation on a molecular level: towards controlled molecular 3D printing. ACC 2016: 3094 - [c72]Shuyou Yu, Ting Qu, Rolf Findeisen, Hong Chen:
Model predictive control for uncertain nonlinear systems subject to chance constraints. CDC 2016: 2751-2756 - [c71]Tobias Bäthge, Sergio Lucia, Rolf Findeisen:
Exploiting models of different granularity in robust predictive control. CDC 2016: 2763-2768 - [c70]Masako Kishida, Markus J. Kögel, Rolf Findeisen:
Verifying robust forward admissibility for nonlinear systems using (skewed) structured singular values. CDC 2016: 4065-4071 - [c69]Pablo Zometa, Hannes Heinemann, Sergio Lucia, Markus J. Kögel, Rolf Findeisen:
Efficient stochastic model predictive control for embedded systems based on second-order cone programs. ECC 2016: 166-171 - [c68]Gergely Takács, Pablo Zometa, Rolf Findeisen, Boris Rohal-Ilkiv:
Efficiency and performance of embedded model predictive control for active vibration attenuation. ECC 2016: 1334-1340 - 2015
- [c67]Ion Necoara, Rolf Findeisen:
Parallel and distributed random coordinate descent method for convex error bound minimization. ACC 2015: 527-532 - [c66]Markus J. Kögel, Rolf Findeisen:
Discrete-time robust model predictive control for continuous-time nonlinear systems. ACC 2015: 924-930 - [c65]Michael Kopf, Hans-Gerd Giesseler, Paolo Varutti, Timm Faulwasser, Rolf Findeisen:
On the effect of enforcing stability in model predictive control for gust load alleviation. ACC 2015: 2329-2334 - [c64]Sergio Lucia, Pablo Zometa, Markus J. Kögel, Rolf Findeisen:
Efficient stochastic model predictive control based on polynomial chaos expansions for embedded applications. CDC 2015: 3006-3012 - [c63]Andrei Patrascu, Ion Necoara, Rolf Findeisen:
Rate of convergence analysis of a dual fast gradient method for general convex optimization. CDC 2015: 3311-3316 - [c62]Markus J. Kögel, Rolf Findeisen:
Robust output feedback predictive control with self-triggered measurements. CDC 2015: 5487-5493 - [c61]Masako Kishida, Rolf Findeisen:
μ-based approaches to determining guaranteed consistent and inconsistent parameter sets. CDC 2015: 6603-6608 - [c60]Markus J. Kögel, Rolf Findeisen:
Self-triggered, prediction-based control of Lipschitz nonlinear systems. ECC 2015: 2150-2155 - [i3]Timm Faulwasser, Rolf Findeisen:
Nonlinear Model Predictive Control for Constrained Output Path Following. CoRR abs/1502.02468 (2015) - [i2]Timm Faulwasser, Tobias Weber, Juan Pablo Zometa, Rolf Findeisen:
Implementation of Nonlinear Model Predictive Path-Following Control for an Industrial Robot. CoRR abs/1506.09084 (2015) - 2014
- [j19]Matthias Rausch, Reinhardt Klein, Stefan Streif, Christian Pankiewitz, Rolf Findeisen:
Modellbasierte Zustandsschätzung für Lithium-Ionen-Batterien. Autom. 62(4): 296-311 (2014) - [j18]Timm Faulwasser, Veit Hagenmeyer, Rolf Findeisen:
Constrained reachability and trajectory generation for flat systems. Autom. 50(4): 1151-1159 (2014) - [j17]Joseph K. Scott, Rolf Findeisen, Richard D. Braatz, Davide Martino Raimondo:
Input design for guaranteed fault diagnosis using zonotopes. Autom. 50(6): 1580-1589 (2014) - [j16]Masako Kishida, Philipp Rumschinski, Rolf Findeisen, Richard D. Braatz:
Efficient Polynomial-Time Outer Bounds on State Trajectories for Uncertain Polynomial Systems Using Skewed Structured Singular Values. IEEE Trans. Autom. Control. 59(11): 3063-3068 (2014) - [c59]Matthias Rausch, Reinhardt Klein, Stefan Streif, Christian Pankiewitz, Rolf Findeisen:
Set-based state of charge estimation for lithium-ion batteries. ACC 2014: 1566-1571 - [c58]Ali Mesbah, Stefan Streif, Rolf Findeisen, Richard D. Braatz:
Stochastic nonlinear model predictive control with probabilistic constraints. ACC 2014: 2413-2419 - [c57]Markus J. Kögel, Rolf Findeisen:
On self-triggered reduced-attention control for constrained systems. CDC 2014: 2795-2801 - [c56]Joel A. Paulson, Ali Mesbah, Stefan Streif, Rolf Findeisen, Richard D. Braatz:
Fast stochastic model predictive control of high-dimensional systems. CDC 2014: 2802-2809 - [c55]Markus J. Kögel, Rolf Findeisen:
Stabilization of inexact MPC schemes. CDC 2014: 5922-5928 - [c54]Markus J. Kögel, Rolf Findeisen:
On MPC based trajectory tracking. ECC 2014: 121-127 - [c53]Joel A. Paulson, Davide Martino Raimondo, Rolf Findeisen, Richard D. Braatz, Stefan Streif:
Guaranteed active fault diagnosis for uncertain nonlinear systems. ECC 2014: 926-931 - [e1]Peter Benner, Rolf Findeisen, Dietrich Flockerzi, Udo Reichl, Kai Sundmacher:
Large-Scale Networks in Engineering and Life Sciences. Modeling and Simulation in Science, Engineering and Technology, Springer 2014, ISBN 978-3-319-08436-7 [contents] - 2013
- [j15]Reinhardt Klein, Nalin A. Chaturvedi, Jake Christensen, Jasim Ahmed, Rolf Findeisen, Aleksandar Kojic:
Electrochemical Model Based Observer Design for a Lithium-Ion Battery. IEEE Trans. Control. Syst. Technol. 21(2): 289-301 (2013) - [c52]Timm Faulwasser, Janine Matschek, Pablo Zometa, Rolf Findeisen:
Predictive path-following control: Concept and implementation for an industrial robot. CCA 2013: 128-133 - [c51]Vinzenz Bargsten, Pablo Zometa, Rolf Findeisen:
Modeling, parameter identification and model-based control of a lightweight robotic manipulator. CCA 2013: 134-139 - [c50]Matthias Rausch, Stefan Streif, Christian Pankiewitz, Rolf Findeisen:
Nonlinear observability and identifiability of single cells in battery packs. CCA 2013: 401-406 - [c49]Joseph K. Scott, Rolf Findeisen, Richard D. Braatz, Davide Martino Raimondo:
Design of active inputs for set-based fault diagnosis. ACC 2013: 3561-3566 - [c48]Pablo Zometa, Markus J. Kögel, Rolf Findeisen:
μAO-MPC: A free code generation tool for embedded real-time linear model predictive control. ACC 2013: 5320-5325 - [c47]Benjamin Kern, Rolf Findeisen:
Analysis and constrained control of nonlinear interconnected systems exploiting positively invariant family of sets. CDC 2013: 3806-3811 - [c46]Daniel Hast, Stefan Streif, Rolf Findeisen:
Guaranteed diagnosability of parametric faults in nonlinear systems. CDC 2013: 5662-5667 - [c45]Stefan Streif, Philipp Rumschinski, Didier Henrion, Rolf Findeisen:
Estimation of consistent parameter sets for continuous-time nonlinear systems using occupation measures and LMI relaxations. CDC 2013: 6379-6384 - [c44]Markus J. Kögel, Rolf Findeisen:
On efficient predictive control of linear systems subject to quadratic constraints using condensed, structure-exploiting interior point methods. ECC 2013: 27-34 - [c43]Stefan Streif, Matthias Karl, Rolf Findeisen:
Outlier analysis in set-based estimation for nonlinear systems using convex relaxations. ECC 2013: 2921-2926 - [c42]Steffen Borchers, Rolf Findeisen:
Outlier Detection for Polynomial Systems Using Semidefinite Relaxations. NOLCOS 2013: 761-766 - [c41]Markus J. Kögel, Rolf Findeisen:
Stability of NMPC with Cyclic Horizons. NOLCOS 2013: 809-814 - 2012
- [j14]Sasa V. Rakovic, Basil Kouvaritakis, Rolf Findeisen, Mark Cannon:
Homothetic tube model predictive control. Autom. 48(8): 1631-1638 (2012) - [j13]Stefan Streif, Anton Savchenko, Philipp Rumschinski, Steffen Borchers, Rolf Findeisen:
ADMIT: a toolbox for guaranteed model invalidation, estimation and qualitative-quantitative modeling. Bioinform. 28(9): 1290-1291 (2012) - [j12]Markus Krauss, Stephan Schaller, Steffen Borchers, Rolf Findeisen, Jörg Lippert, Lars Kuepfer:
Integrating Cellular Metabolism into a Multiscale Whole-Body Model. PLoS Comput. Biol. 8(10) (2012) - [j11]Sasa V. Rakovic, Basil Kouvaritakis, Mark Cannon, Christos Panos, Rolf Findeisen:
Parameterized Tube Model Predictive Control. IEEE Trans. Autom. Control. 57(11): 2746-2761 (2012) - [c40]Pablo Zometa, Markus J. Kögel, Timm Faulwasser, Rolf Findeisen:
Implementation aspects of model predictive control for embedded systems. ACC 2012: 1205-1210 - [c39]Philipp Rumschinski, Dina Shona Laila, Rolf Findeisen:
Discrete-to-continuous dynamics reconstruction for bilinear systems. CDC 2012: 172-177 - 2011
- [j10]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) - [j9]Steffen Borchers, Sandro Bosio, Rolf Findeisen, Utz-Uwe Haus, Philipp Rumschinski, Robert Weismantel:
Graph problems arising from parameter identification of discrete dynamical systems. Math. Methods Oper. Res. 73(3): 381-400 (2011) - [c38]Markus J. Kögel, Rolf Findeisen:
Fast predictive control of linear, time-invariant systems using an algorithm based on the fast gradient method and augmented Lagrange multipliers. CCA 2011: 780-785 - [c37]Reinhardt Klein, Nalin A. Chaturvedi, Jake Christensen, Jasim Ahmed, Rolf Findeisen, Aleksandar Kojic:
Optimal charging strategies in lithium-ion battery. ACC 2011: 382-387 - [c36]Paolo Varutti, Rolf Findeisen:
Event-based NMPC for networked control systems over UDP-like communication channels. ACC 2011: 3166-3171 - [c35]Markus J. Kögel, Rolf Findeisen:
Robust suboptimal control over lossy networks using extended input schemes. CACSD 2011: 210-215 - [c34]Masako Kishida, Philipp Rumschinski, Rolf Findeisen, Richard D. Braatz:
Efficient polynomial-time outer bounds on state trajectories for uncertain polynomial systems using skewed structured singular values. CACSD 2011: 216-221 - [c33]Markus J. Kögel, Rolf Findeisen:
Fast predictive control of linear systems combining Nesterov's gradient method and the method of multipliers. CDC/ECC 2011: 501-506 - [c32]Steffen Borchers, Rolf Findeisen:
Design of experiments for guaranteed parameter estimation in membership setting. CDC/ECC 2011: 2602-2607 - [c31]Timm Faulwasser, Rolf Findeisen:
A model predictive control approach to trajectory tracking problems via time-varying level sets of Lyapunov functions. CDC/ECC 2011: 3381-3386 - [i1]Rolf Findeisen, Lars Grüne, Jürgen Pannek, Paolo Varutti:
Robustness of Prediction Based Delay Compensation for Nonlinear Systems. CoRR abs/1105.3268 (2011) - 2010
- [j8]Philipp Rumschinski, Steffen Borchers, Sandro Bosio, Robert Weismantel, Rolf Findeisen:
Set-base dynamical parameter estimation and model invalidation for biochemical reaction networks. BMC Syst. Biol. 4: 69 (2010) - [c30]Solvey Maldonado, Anton Savchenko, Rolf Findeisen:
Therapy Discrimination via Global Sensitivity Analysis of Force-induced Bone Growth and Adaptation. CCA 2010: 499-505 - [c29]Reinhardt Klein, Nalin A. Chaturvedi, Jake Christensen, Jasim Ahmed, Rolf Findeisen, Aleksandar Kojic:
State estimation of a reduced electrochemical model of a lithium-ion battery. ACC 2010: 6618-6623 - [c28]Paolo Varutti, Timm Faulwasser, Benjamin Kern, Markus J. Kögel, Rolf Findeisen:
Event-based reduced-attention predictive control for nonlinear uncertain systems. CACSD 2010: 1085-1090 - [c27]Philipp Rumschinski, Dina Shona Laila, Steffen Borchers, Rolf Findeisen:
Influence of discretization errors on set-based parameter estimation. CDC 2010: 296-301 - [c26]Sasa V. Rakovic, Benjamin Kern, Rolf Findeisen:
Practical set invariance for decentralized discrete time systems. CDC 2010: 3283-3288
2000 – 2009
- 2009
- [j7]Timm Faulwasser, Benjamin Kern, Paolo Varutti, Rolf Findeisen:
Prädiktive Regelung nichtlinearer Systeme unter asynchronen Mess- und Stellsignalen (Nonlinear Predictive Control based on Asynchronous Measurement and Control Signals). Autom. 57(6): 279-286 (2009) - [j6]Timm Faulwasser, Rolf Findeisen:
Ein prädiktiver Ansatz zur Lösung nichtlinearer Pfadverfolgungsprobleme unter Beschränkungen (A Predictive Solution to Nonlinear Path-Following Problems Subject to Constraints). Autom. 57(8): 386-394 (2009) - [j5]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) - [c25]Paolo Varutti, Rolf Findeisen:
On the synchronization problem for the stabilization of networked control systems over nondeterministic networks. ACC 2009: 2216-2221 - [c24]Paolo Varutti, Benjamin Kern, Timm Faulwasser, Rolf Findeisen:
Event-based model predictive control for Networked Control Systems. CDC 2009: 567-572 - [c23]Steffen Borchers, Philipp Rumschinski, Sandro Bosio, Robert Weismantel, Rolf Findeisen:
A set-based framework for coherent model invalidation and parameter estimation of discrete time nonlinear systems. CDC 2009: 6786-6792 - [c22]Timm Faulwasser, Benjamin Kern, Rolf Findeisen:
Model predictive path-following for constrained nonlinear systems. CDC 2009: 8642-8647 - [c21]Paolo Varutti, Rolf Findeisen:
Compensating network delays and information loss by predictive control methods. ECC 2009: 1722-1727 - [c20]Christoph Böhm, Shuyou Yu, Rolf Findeisen, Frank Allgöwer:
Predictive control for lure systems subject to constraints using LMIs. ECC 2009: 3389-3394 - 2008
- [j4]Eric Bullinger, Dirk Fey, Marcello Farina, Rolf Findeisen:
Identifikation biochemischer Reaktionsnetzwerke: Ein beobachterbasierter Ansatz (Identification of Biochemical Reaction Networks: An Observer based Approach). Autom. 56(5): 269-280 (2008) - [c19]Christoph Böhm, Tobias Raff, Rolf Findeisen, Frank Allgöwer:
Calculating the terminal region of NMPC for Lure systems via LMIs. ACC 2008: 1127-1132 - [c18]Dara Geffen, Rolf Findeisen, Monica Schliemann, Frank Allgöwer, Martin Guay:
Observability Based Parameter Identifiability for Biochemical Reaction Networks. ACC 2008: 2130-2135 - 2007
- [j3]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) - 2006
- [j2]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) - [c17]Marcello Farina, Rolf Findeisen, Eric Bullinger, Sergio Bittanti, Frank Allgöwer, Peter Wellstead:
Results Towards Identifiability Properties of Biochemical Reaction Networks. CDC 2006: 2104-2109 - [c16]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 - [c15]Solvey Maldonado, Steffen Borchers, Rolf Findeisen, Frank Allgöwer:
Mathematical Modeling and Analysis of Force Induced Bone Growth. EMBC 2006: 3154-3157 - 2005
- [c14]Rolf Findeisen, Frank Allgöwer:
Robustness Properties and Output Feedback of Optimization Based Sampled-data Open-loop Feedback. CDC/ECC 2005: 54-59 - [c13]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 - 2004
- [c12]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 - 2003
- [j1]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) - [c11]Lars Imsland, Rolf Findeisen, Frank Allgöwer, Bjarne A. Foss:
Output feedback stabilization with nonlinear predictive control: asymptotic properties. ACC 2003: 4908-4913 - [c10]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 - [c9]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 - [c8]Patrick Menold, Rolf Findeisen, Frank Allgöwer:
Finite time convergent observers for nonlinear systems. CDC 2003: 5673-5678 - [c7]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 - 2002
- [c6]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 - [c5]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
- [c4]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 - 2000
- [c3]Rolf Findeisen, Hong Chen, Frank Allgöwer:
Nonlinear predictive control for setpoint families. ACC 2000: 260-264 - [c2]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 - [c1]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
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-05-24 02:12 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
