Decentralized fuzzy control for nonlinear multiple time-delay large-scale systems

Feng Hsiag Hsiao*, Jiing Dong Hwang, Cheng Wu Chen

*Corresponding author for this work

Research output: Contribution to conferenceConference Paperpeer-review

4 Scopus citations

Abstract

To overcome the effect of modeling errors between nonlinear multiple time-delay subsystems and Takagi-Sugeno (T-S) fuzzy models with multiple time delays, a robustness design of fuzzy control is proposed in this paper. In terms of Lyapunov's direct method, a delay-dependent stability criterion is hence derived to guarantee the asymptotic stability of nonlinear multiple time-delay large-scale systems. Based on this criterion and the decentralized control scheme, a set of model-based fuzzy controllers is then synthesized via the technique of parallel distributed compensation (PDC) to stabilize the nonlinear multiple time-delay large-scale system.

Original languageEnglish
Pages569-573
Number of pages5
StatePublished - 2004
Externally publishedYes
EventSICE Annual Conference 2004 - Sapporo, Japan
Duration: 04 08 200406 08 2004

Conference

ConferenceSICE Annual Conference 2004
Country/TerritoryJapan
CitySapporo
Period04/08/0406/08/04

Keywords

  • Delay-dependent stability criterion
  • Modeling error
  • PDC
  • T-S fuzzy models

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