Decentralised H∞ fuzzy filter for non-linear large-scale systems under imperfect premise matching

Ho Jun Kim, Jin Bae Park, Young Hoon Joo

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

This study presents a decentralised H∞ filter design problem for non-linear large-scale systems that are represented based on the Takagi-Sugeno fuzzy model. To enhance the design flexibility of the fuzzy filter for non-linear large-scale systems, the imperfect premise matching problem is adopted in the filter design procedure. In the sense of fuzzy Lyapunov, sufficient conditions for both asymptotic stability of the error system and a prescribed level of the H∞ norm are ensured to guarantee the H∞ fuzzy filter performance. The sufficient conditions are formulated in terms of linear matrix inequalities, which can be solved efficiently using convex optimisation algorithms. Finally, simulation examples are provided to verify the feasibility of the proposed approach.

Original languageEnglish
Pages (from-to)2704-2714
Number of pages11
JournalIET Control Theory and Applications
Volume9
Issue number18
DOIs
Publication statusPublished - 2015 Dec 10

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All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Human-Computer Interaction
  • Computer Science Applications
  • Control and Optimization
  • Electrical and Electronic Engineering

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