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Journal Articles Automatica Year : 2022

Stability of Shuffled Switched Linear Systems: A Joint Spectral Radius Approach

Antoine Girard
Luca Greco
Paolo Mason

Abstract

A switching signal for a switched system is said to be shuffled if all modes of the system are activated infinitely often. In this paper, we develop tools to analyze stability properties of discrete-time switched linear systems driven by shuffled switching signals. We introduce the new notion of shuffled joint spectral radius (SJSR), which intuitively measures how much the state of the system contracts each time the signal shuffles (i.e. each time all modes have been activated). We show how this notion relates to stability properties of the associated switched systems. In particular, we show that some switched systems that are unstable for arbitrary switching signals can be stabilized by using switching signals that shuffle sufficiently fast and that the SJSR allows us to derive an expression of the minimal shuffling rate required to stabilize the system. We then present several approaches to compute lower and upper bounds of the SJSR using tools such as the classical joint spectral radius, Lyapunov functions and finite state automata. Several tightness results of the bounds are established. Finally, numerical experiments are presented to illustrate the main results of the paper.
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Dates and versions

hal-03257026 , version 1 (10-06-2021)
hal-03257026 , version 2 (17-02-2022)
hal-03257026 , version 3 (03-05-2022)

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Georges Aazan, Antoine Girard, Luca Greco, Paolo Mason. Stability of Shuffled Switched Linear Systems: A Joint Spectral Radius Approach. Automatica, 2022, 143, pp.110434. ⟨10.1016/j.automatica.2022.110434⟩. ⟨hal-03257026v3⟩
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