Observer-based robust H control for fuzzy systems using two-step procedure

Ji Chang Lo, Min Long Lin

Research output: Contribution to journalArticlepeer-review

134 Scopus citations

Abstract

This paper investigates both robust H analysis and synthesis problems involving observer-based fuzzy control via linear matrix inequality methods for which efficient optimization techniques are available. The observer and controller are capable of disturbance-rejection in the presence of unknown but bounded disturbance. We present results in a unified fashion applicable to both continuous- and discrete-time problems with or without uncertainty. Finally, the validity and applicability of the approach are demonstrated by examples.

Original languageEnglish
Pages (from-to)350-359
Number of pages10
JournalIEEE Transactions on Fuzzy Systems
Volume12
Issue number3
DOIs
StatePublished - Jun 2004

Keywords

  • Bilinear matrix inequality (BMI)
  • Bounded real lemma (BRL)
  • H control
  • Parameterized linear matrix inequality (PLMI)
  • Takagi-Sugeno (T-S) fuzzy model

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