Sampled-data observer-based decentralized fuzzy control for nonlinear large-scale systems

Geun Bum Koo, Jin Bae Park, Young Hoon Joo

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

In this paper, a sampled-data observer-based decentralized fuzzy control technique is proposed for a class of nonlinear large-scale systems, which can be represented to a Takagi-Sugeno fuzzy system. The premise variable is assumed to be measurable for the design of the observer-based fuzzy controller, and the closed-loop system is obtained. Based on an exact discretized model of the closed-loop system, the stability condition is derived for the closed-loop system. Also, the stability condition is converted into the linear matrix inequality (LMI) format. Finally, an example is provided to verify the effectiveness of the proposed techniques.

Original languageEnglish
Pages (from-to)724-732
Number of pages9
JournalJournal of Electrical Engineering and Technology
Volume11
Issue number3
DOIs
Publication statusPublished - 2016 May

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Decentralized control
Fuzzy control
Closed loop systems
Large scale systems
Fuzzy systems
Linear matrix inequalities
Controllers

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

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Sampled-data observer-based decentralized fuzzy control for nonlinear large-scale systems. / Koo, Geun Bum; Park, Jin Bae; Joo, Young Hoon.

In: Journal of Electrical Engineering and Technology, Vol. 11, No. 3, 05.2016, p. 724-732.

Research output: Contribution to journalArticle

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