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ORCIDFrank Allgöwer
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- affiliation: University of Stuttgart, Germany
- award (2004): Gottfried Wilhelm Leibniz Prize
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2020 – today
- 2024
[j178]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)- [j177]Lukas Schwenkel, Alexander Hadorn, Matthias A. Müller, Frank Allgöwer:
Linearly discounted economic MPC without terminal conditions for periodic optimal operation. Autom. 159: 111393 (2024) - [j176]Michael Hertneck, Simon Lang, Julian Berberich, Frank Allgöwer:
Event-Triggered Control Based on Integral Quadratic Constraints. IEEE Control. Syst. Lett. 8: 2039-2044 (2024) - [j175]Sebastian Schlor, Frank Allgöwer:
Bootstrapping Guarantees: Stability and Performance Analysis for Dynamic Encrypted Control. IEEE Control. Syst. Lett. 8: 2235-2240 (2024) - [j174]Tim Martin, Frank Allgöwer:
Data-Driven System Analysis of Nonlinear Systems Using Polynomial Approximation. IEEE Trans. Autom. Control. 69(7): 4261-4274 (2024) - [j173]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) - [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) - [c264]Yifan Xie, Julian Berberich, Frank Allgöwer:
Data-Driven Min-Max MPC for Linear Systems. ACC 2024: 3184-3189 - [c263]Michael Hertneck, Alejandro I. Maass, Dragan Nesic, Frank Allgöwer:
An Lp-norm framework for event-triggered control. ECC 2024: 2818-2824 - [c262]Patricia Pauli, Aaron J. Havens, Alexandre Araujo, Siddharth Garg, Farshad Khorrami, Frank Allgöwer, Bin Hu:
Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations. ICLR 2024 - [i133]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) - [i132]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) - [i131]Patricia Pauli, Dennis Gramlich, Frank Allgöwer:
State space representations of the Roesser type for convolutional layers. CoRR abs/2403.11938 (2024) - [i130]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) - [i129]Sebastian Schlor, Frank Allgöwer:
Bootstrapping Guarantees: Stability and Performance Analysis for Dynamic Encrypted Control. CoRR abs/2403.18571 (2024) - [i128]Yifan Xie, Julian Berberich, Frank Allgöwer:
Data-Driven Min-Max MPC for Linear Systems: Robustness and Adaptation. CoRR abs/2404.19096 (2024) - [i127]Patricia Pauli, Dennis Gramlich, Frank Allgöwer:
Lipschitz constant estimation for general neural network architectures using control tools. CoRR abs/2405.01125 (2024) - [i126]David Meister, Duarte J. Antunes, Frank Allgöwer:
How improving performance may imply losing consistency in event-triggered consensus. CoRR abs/2405.03245 (2024) - [i125]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) - [i124]Julian Berberich, Frank Allgöwer:
An overview of systems-theoretic guarantees in data-driven model predictive control. CoRR abs/2406.04130 (2024) - [i123]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) - [i122]Felix Brändle, Frank Allgöwer:
A System Parameterization for Direct Data-Driven Estimator Synthesis. CoRR abs/2410.10681 (2024) - [i121]Patricia Pauli, Ruigang Wang, Ian R. Manchester, Frank Allgöwer:
LipKernel: Lipschitz-Bounded Convolutional Neural Networks via Dissipative Layers. CoRR abs/2410.22258 (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]