Stabilization of switched linear uncertain stochastic systems

Yufang Chang, Guisheng Zhai, Bo Fu, Lianglin Xiong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)


We consider global quadratic stabilization in probability for switched systems which are composed of a finite set of linear uncertain stochastic subsystems with norm bounded uncertainties. Assuming that no single subsystem is globally quadratically stable in probability (GQS-P), we show that if a convex combination of subsystems is GQS-P, then we can design a state-dependent switching law, based on the convex combination of subsystems, such that the entire switched system is GQS-P. A numerical example is provided to show effectiveness of the proposed approach.

Original languageEnglish
Title of host publicationProceedings of the 38th Chinese Control Conference, CCC 2019
EditorsMinyue Fu, Jian Sun
PublisherIEEE Computer Society
Number of pages5
ISBN (Electronic)9789881563972
Publication statusPublished - 2019 Jul
Event38th Chinese Control Conference, CCC 2019 - Guangzhou, China
Duration: 2019 Jul 272019 Jul 30

Publication series

NameChinese Control Conference, CCC
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927


Conference38th Chinese Control Conference, CCC 2019


  • Convex combination
  • Globally quadratically stable in probability (GQS-P)
  • LMIs
  • Norm bounded uncertainties
  • Output-dependent switching
  • State-dependent switching
  • Switched linear uncertain stochastic systems (SLUSS)

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Applied Mathematics
  • Modelling and Simulation


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