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2A Controller Synthesis Framework for Weakly-Hard Control Systems
M. Seidel, M. Maggio, and F. Allgöwer. 2026 IEEE 32nd Real-Time and Embedded Technology and Applications Symposium (RTAS), page 41--54. IEEE, (May 2026)
3 months ago by @istbib
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5Koopman-based LPV control: A data-driven approach using IQCs
M. Eyüboglu, R. Strässer, F. Allgöwer, and A. Karimi. Proc. 23rd IFAC World Congress, Busan, Republic of Korea, (2026)
3 months ago by @istbib
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2Data-driven min--max MPC for linear systems: Robustness and adaptation
Y. Xie, J. Berberich, and F. Allgöwer. Automatica, (2026)
4 months ago by @istbib
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2Comparison and performance analysis of dynamic encrypted control approaches
S. Schlor, and F. Allgöwer. at - Automatisierungstechnik, 74 (3): 233--242 (2026)
5 months ago by @istbib
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2A polynomial-based QCQP solver for encrypted optimization
S. Schlor, A. Iannelli, J. Kim, H. Shim, and F. Allgöwer. Proc. 64th IEEE Conf. Decision and Control (CDC), page 7885-7891. Rio de Janeiro, Brazil, (2025)
5 months ago by @istbib
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3Parameter Filter-based Event-triggered Learning
S. Schlor, F. Solowjow, and S. Trimpe. Proc. 2025 European Control Conference (ECC), page 3021--3026. Thessaloniki, Greece, (2025)
5 months ago by @istbib
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6Performance analysis for cone-preserving switched systems with constrained switching
M. Seidel, R. Pates, and F. Allgöwer. 2025 IEEE 64th Conference on Decision and Control (CDC), page 4101--4106. IEEE, (December 2025)
7 months ago by @istbib
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3Current trends and future directions in event-based control
M. Hertneck, D. Meister, and F. Allgöwer. European Journal of Control, (2026)
7 months ago by @istbib
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5How improving performance may imply losing consistency in event-triggered consensus
D. Meister, D. Antunes, and F. Allgöwer. Automatica, (2026)
8 months ago by @istbib
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5An overview of systems-theoretic guarantees in data-driven model predictive control
J. Berberich, and F. Allgöwer. Annual Review of Control, Robotics, and Autonomous Systems, (2025)
8 months ago by @istbib
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5Systems theory in data and optimization: Proceedings of SysDO 2024
J. Berberich, A. Iannelli, and F. Allgöwer (Eds.) Lecture Notes in Control and Information Sciences -- Proceedings Springer Nature, (2025)
8 months ago by @istbib
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5Adaptive tracking MPC for nonlinear systems via online linear system identification
T. Strelnikova, J. Köhler, and J. Berberich. volume Systems theory in data and optimization: Proceedings of SysDO 2024 of Lecture Notes in Control and Information Sciences -- Proceedings, page 69--84. Springer Nature, (2025)
8 months ago by @istbib
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5Data-driven dissipativity analysis of linear parameter-varying systems
C. Verhoek, J. Berberich, S. Haesart, F. Allgöwer, and R. Tóth. IEEE Trans. Automat. Control, 69 (12): 8603--8616 (2024)
8 months ago by @istbib
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5SafEDMD: A Koopman-based data-driven controller design framework for nonlinear dynamical systems
R. Strässer, M. Schaller, K. Worthmann, J. Berberich, and F. Allgöwer. Automatica, (2026)
8 months ago by @istbib
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5An overview of Koopman-based control: From error bounds to closed-loop guarantees
R. Strässer, K. Worthmann, I. Mezić, J. Berberich, M. Schaller, and F. Allgöwer. Annual Reviews in Control, (2026)
9 months ago by @istbib
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3Bilinear Data-Driven Min-Max MPC: Designing Rational Controllers via Sum-of-squares Optimization
Y. Xie, J. Berberich, R. Strässer, and F. Allgöwer. 64th IEEE Conference on Decision and Control (CDC), (2025)
11 months ago by @istbib
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5Kernel-based error bounds of bilinear Koopman surrogate models for nonlinear data-driven control
R. Strässer, M. Schaller, J. Berberich, K. Worthmann, and F. Allgöwer. IEEE Control Systems Letters, (2025)
a year ago by @istbib
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5Comparison Perspectives for Time-, Event-, and Self-Triggered Control
D. Meister, S. Lang, and F. Allgöwer. IEEE Control Systems Letters, (2025)
a year ago by @istbib
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5Koopman-based control using sum-of-squares optimization: Improved stability guarantees and data efficiency
R. Strässer, J. Berberich, and F. Allgöwer. European Journal of Control, (2025)
a year ago by @istbib
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5Koopman-based control of nonlinear systems with closed-loop guarantees
R. Strässer, J. Berberich, M. Schaller, K. Worthmann, and F. Allgöwer. at - Automatisierungstechnik, 73 (6): 413--428 (2025)
a year ago by @istbib
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publications (hide)89
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2A Controller Synthesis Framework for Weakly-Hard Control Systems

5Koopman-based LPV control: A data-driven approach using IQCs

2Data-driven min--max MPC for linear systems: Robustness and adaptation

2Comparison and performance analysis of dynamic encrypted control approaches

2A polynomial-based QCQP solver for encrypted optimization

3Parameter Filter-based Event-triggered Learning

6Performance analysis for cone-preserving switched systems with constrained switching

3Current trends and future directions in event-based control

5How improving performance may imply losing consistency in event-triggered consensus

5An overview of systems-theoretic guarantees in data-driven model predictive control

5Systems theory in data and optimization: Proceedings of SysDO 2024

5Adaptive tracking MPC for nonlinear systems via online linear system identification

5Data-driven dissipativity analysis of linear parameter-varying systems

5SafEDMD: A Koopman-based data-driven controller design framework for nonlinear dynamical systems

5An overview of Koopman-based control: From error bounds to closed-loop guarantees

3Bilinear Data-Driven Min-Max MPC: Designing Rational Controllers via Sum-of-squares Optimization

5Kernel-based error bounds of bilinear Koopman surrogate models for nonlinear data-driven control

5Comparison Perspectives for Time-, Event-, and Self-Triggered Control

5Koopman-based control using sum-of-squares optimization: Improved stability guarantees and data efficiency

5Koopman-based control of nonlinear systems with closed-loop guarantees

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