Skip to main navigation Skip to search Skip to main content

Stability analysis of discrete-time switched nonlinear systems via T-S fuzzy model approach

  • Lei Liu*
  • , Yunfei Yin
  • , Jiahui Wang
  • , Qinghui Wu
  • *Corresponding author for this work
  • Bohai University

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents the stability problem of a class of discrete-time switched nonlinear systems with unstable subsystems. The Takagi and Sugeno (T-S) fuzzy model is applied to close the discrete-time nonlinear subsystems. By utilizing the multiple Lyapunov functions (MLFs) and mode-dependent average dwell time (MDADT) method, the stability condition for discrete-time switched nonlinear systems comprising stable and unstable nonlinear subsystems is obtained. Then, based on the result for discrete-time switched nonlinear systems, the computable sufficient condition in terms of a set of linear matrix inequalities is derived to guarantee exponential stable of the switched T-S fuzzy system. Finally, a numerical example is provided to demonstrate the effectiveness of the proposed method.

Original languageEnglish
Pages (from-to)1967-1971
Number of pages5
JournalNeurocomputing
Volume173
DOIs
StatePublished - 15 Jan 2016
Externally publishedYes

Keywords

  • Discrete-time switched systems
  • Fuzzy control systems
  • Multiple Lyapunov function

Fingerprint

Dive into the research topics of 'Stability analysis of discrete-time switched nonlinear systems via T-S fuzzy model approach'. Together they form a unique fingerprint.

Cite this