Design of sampled-data fuzzy-model-based control systems by using intelligent digital redesign

Wook Chang, Jin Bae Park, Young Hoon Joo, Guanrong Chen

Research output: Contribution to journalArticle

44 Citations (Scopus)

Abstract

In this brief, we develop an intelligent digital redesign method for hybrid state space fuzzy-model-based controllers, effective for stabilization of continuous-time uncertain nonlinear systems under discrete-time controller. Takagi-Sugeno (TS) fuzzy model is used to represent the complex system as multiple and uncertain linear state-space models over different local operating regions. A continuous-time fuzzy-model-based controller is then synthesized for stabilization, where the guaranteed-cost design method is utilized to cope with system uncertainties. The local controllers of the continuous-time fuzzy-model-based controller are then converted to equivalent discrete-time counterparts and aggregated through the fuzzy inference system to give a discrete-time fuzzy-model-based controller. Finally, a TS fuzzy model for the chaotic Lorenz system is used as an illustrative example to show the effectiveness and the feasibility of the developed design method.

Original languageEnglish
Pages (from-to)509-517
Number of pages9
JournalIEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications
Volume49
Issue number4
DOIs
Publication statusPublished - 2002 Apr 1

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Control systems
Controllers
Stabilization
Chaotic systems
Fuzzy inference
Large scale systems
Nonlinear systems
Costs

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

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Design of sampled-data fuzzy-model-based control systems by using intelligent digital redesign. / Chang, Wook; Park, Jin Bae; Joo, Young Hoon; Chen, Guanrong.

In: IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, Vol. 49, No. 4, 01.04.2002, p. 509-517.

Research output: Contribution to journalArticle

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