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Article Dans Une Revue IEEE Control Systems Letters Année : 2023

Data-Driven Stabilization of Input-Saturated Systems

Résumé

We provide a data-driven stabilization approach for input-saturated systems with formal Lyapunov guarantees. Through a generalized sector condition, we propose a convex design algorithm based on linear matrix inequalities for obtaining a regionally stabilizing datadriven static state-feedback gain. Regional, rather than global, properties allow us to address non-exponentially stable plants, thereby making our design broad in terms of applicability. Moreover, we discuss consistency issues and introduce practical tools to deal with measurement noise. Numerical simulations show the effectiveness of our approach and its sensitivity to the features of the dataset.
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Dates et versions

hal-04117896 , version 1 (05-06-2023)

Identifiants

Citer

Valentina Breschi, Luca Zaccarian, Simone Formentin. Data-Driven Stabilization of Input-Saturated Systems. IEEE Control Systems Letters, 2023, 7, pp.1640-1645. ⟨10.1109/LCSYS.2023.3266254⟩. ⟨hal-04117896⟩
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