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Robust dissipative control for T-S fuzzy systems

  • Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

Robust stability analysis and dissipativeness for Takagi-Sugeno (T-S) fuzzy systems with parametric uncertainties are studied via Lyapunov stability theory. The T-S fuzzy model with parametric uncertainties can approximate nonlinear uncertain systems at any precision. The parametric uncertainty is assumed to be norm bounded. With the help of linear matrix inequality (LMI), robust passive controllers are obtained. The proposed controller can guarantee that for all admissible uncertainties, the resultant closed-loop system is stable and satisfies the proposed dissipative performance. A numerical example demonstrates the effect of the proposed design method.

Original languageEnglish
Pages (from-to)1518-1523
Number of pages6
JournalXi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics
Volume29
Issue number9
StatePublished - Sep 2007

Keywords

  • Dissipative performance
  • Linear matrix inequalities
  • Robust control
  • T-S fuzzy systems

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