Robust data-driven predictive control using reachability analysis

DOI10.1016/j.ejcon.2022.100666zbMath1501.93039arXiv2103.14110OpenAlexW3143477657MaRDI QIDQ2095289

Amr Alanwar, Yvonne Stürz, Karl Henrik Johansson

Publication date: 9 November 2022

Published in: European Journal of Control (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2103.14110

zbMATH Keywords

zonotopepredictive controlreachability analysisdata-driven methods

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Attainable sets, reachability (93B03)

Related Items (3)

Robust data-driven predictive control of unknown nonlinear systems using reachability analysis ⋮ Input-mapping based data-driven model predictive control for unknown linear systems with bounded disturbances ⋮ Data-driven predictive control in a stochastic setting: a unified framework

Uses Software

• Matlab
• Mosek
• MPT
• d/dt
• CORA

Cites Work

• Unnamed Item
• Reachability analysis of linear systems using support functions
• Rigorously computed orbits of dynamical systems without the wrapping effect
• Ellipsoidal techniques for reachability analysis: Internal approximation
• A note on persistency of excitation
• Rigorous Reachability Analysis and Domain Decomposition of Taylor Models
• Formulas for Data-Driven Control: Stabilization, Optimality, and Robustness
• Hybrid Systems: Computation and Control
• Data Informativity: A New Perspective on Data-Driven Analysis and Control

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