Adaptive sliding mode control of Markov jump systems with completely unknown mode information

Baoping Jiang, Hamid Reza Karimi, Bo Li

Research output: Journal article publicationJournal articleAcademic researchpeer-review

4 Citations (Scopus)


This paper aims to investigate the problem of adaptive sliding mode control for Markov jump systems with deficient transition probability. Different from the existing literature, we propose a novel method to design a mode-dependent sliding mode controller when the mode information is completely unknown, while the controller gain parameters can be designed by solving feasible conditions. Firstly, by designing an integral-type sliding surface, on which an ideal sliding mode dynamics is obtained. Then, for different types of mode transition information, a set of feasible easy-checking stochastic stability criteria are proposed for the sliding mode dynamics in terms of strict linear matrix inequalities. Further, relying on the parameters obtained from the stability criteria, an adaptive sliding mode controller is successfully designed with respect to different types of system mode transition information. Finally, a numerical example is provided to illustrate the advantage of the developed strategy.

Original languageEnglish
Pages (from-to)3749-3763
Number of pages15
JournalInternational Journal of Robust and Nonlinear Control
Issue number6
Publication statusPublished - Apr 2023


  • adaptive sliding mode control
  • Markov jump systems
  • unknown mode information

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Chemical Engineering
  • Biomedical Engineering
  • Aerospace Engineering
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering


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