Robust stability and stabilization of a class of nonlinear switched discrete-time systems with time-varying delays

  • M. S. Mahmoud
  • , Y. Xia

Research output: Contribution to journalArticlepeer-review

40 Scopus citations

Abstract

In this paper, we investigate the problems of robust delay-dependent ℒ2 gain analysis and feedback control synthesis for a class of nominally-linear switched discrete-time systems with time-varying delays, bounded nonlinearities and real convex bounded parametric uncertainties in all system matrices under arbitrary switching sequences. We develop new criteria for such class of switched systems based on the constructive use of an appropriate switched Lyapunov-Krasovskii functional coupled with Finsler's Lemma and a free-weighting parameter matrix. We establish an LMI characterization of delay-dependent conditions under which the nonlinear switched delay system is robustly asymptotically stable with an ℒ2-gain smaller than a prescribed constant level. Switched feedback schemes, based on state measurements, output measurements or by using dynamic output feedback, are designed to guarantee that the corresponding switched closed-loop system enjoys the delay-dependent asymptotic stability with an ℒ2 gain smaller than a prescribed constant level. All the developed results are expressed in terms of convex optimization over LMIs and tested on representative examples.

Original languageEnglish
Pages (from-to)329-355
Number of pages27
JournalJournal of Optimization Theory and Applications
Volume143
Issue number2
DOIs
StatePublished - Sep 2009

Bibliographical note

Funding Information:
Acknowledgements The authors thank the anonymous reviewer for constructive comments and valuable suggestions improving the revised version of the paper. The research work of the first author was supported by KFUPM Research Project IN080404.

Keywords

  • LMIs
  • Switched Lyapunov-Krasovskii functional
  • Switched nonlinear systems
  • Switched output feedback
  • Switched state feedback

ASJC Scopus subject areas

  • Management Science and Operations Research
  • Control and Optimization
  • Applied Mathematics

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