Stabilization of Discrete-Time Switched Nonlinear Systems

The stabilisation problem for discrete-time switched nonlinear systems is studied under two different scenarios: time-dependent switching (open-loop control) and state-dependent switching (closed-loop control). In the first, global asymptotic stability of the zero equilibrium and a guaranteed performance are ensured by a switching rule subject to a persistent dwell time condition. In the second, a state-dependent switching function is designed to accomplish the same goals of stability and performance by means of conditions expressed in terms of a nonlinear version of the well-known Lyapunov-Metzler inequalities. A numerical method that applies to a subclass of nonlinear systems is proposed. It is able to check locally the sufficient conditions through the solution of a convex programming problem expressed by LMIs. Academic examples illustrate the theoretical results.

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Publication Details

Journal
IEEE Transactions on Automatic Control
Published
2025-05-27
DOI
https://doi.org/10.1109/tac.2025.3574371
Primary Topic
Iterative Learning Control Systems
Type
article
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article

Stabilization of Discrete-Time Switched Nonlinear Systems

Alessandro Astolfi, Grace S. Deaecto
IEEE Transactions on Automatic Control
Iterative Learning Control Systems
article

Stabilization of Discrete-Time Switched Nonlinear Systems

Alessandro Astolfi, Grace S. Deaecto
article en

Abstract

The stabilisation problem for discrete-time switched nonlinear systems is studied under two different scenarios: time-dependent switching (open-loop control) and state-dependent switching (closed-loop control). In the first, global asymptotic stability of the zero equilibrium and a guaranteed performance are ensured by a switching rule subject to a persistent dwell time condition. In the second, a state-dependent switching function is designed to accomplish the same goals of stability and performance by means of conditions expressed in terms of a nonlinear version of the well-known Lyapunov-Metzler inequalities. A numerical method that applies to a subclass of nonlinear systems is proposed. It is able to check locally the sufficient conditions through the solution of a convex programming problem expressed by LMIs. Academic examples illustrate the theoretical results.

IEEE Transactions on Automatic ControlVol. 70(11)
Universidade Estadual de Campinas (UNICAMP) (BR), Imperial College London (GB)
Affordable and clean energy
Openalex Percentile: Top 87%
Iterative Learning Control Systems
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