Stability analysis and design of fuzzy observer-controller for fuzzy systems

H. K. Lam; Hung Fat Frank Leung; P. K S Tam

Stability analysis and design of fuzzy observer-controller for fuzzy systems

H. K. Lam
, Hung Fat Frank Leung
, P. K S Tam

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

2 Citations (Scopus)

Abstract

Stability of a fuzzy system controlled by a fuzzy observer-controller will be investigated in this paper. In general the stability condition is a common solution of [p(p+1)+2p)]/2 linear matrix inequalities (LMIs) where p is the number of rules of the fuzzy plant model. In this paper, the number is reduced to 2p+1. Furthermore, gains of the fuzzy observer-controller can be derived from the solution of the LMIs. Separation principle of the fuzzy observer-controller will be proved.

Original language	English
Title of host publication	IEEE International Conference on Fuzzy Systems
Pages	1259-1262
Number of pages	4
Publication status	Published - 1 Dec 2001
Event	10th IEEE International Conference on Fuzzy Systems - Melbourne, Australia Duration: 2 Dec 2001 → 5 Dec 2001

Conference

Conference	10th IEEE International Conference on Fuzzy Systems
Country/Territory	Australia
City	Melbourne
Period	2/12/01 → 5/12/01

ASJC Scopus subject areas

Software
Safety, Risk, Reliability and Quality
Chemical Health and Safety

More information

http://hdl.handle.net/10397/1410

Cite this

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abstract = "Stability of a fuzzy system controlled by a fuzzy observer-controller will be investigated in this paper. In general the stability condition is a common solution of [p(p+1)+2p)]/2 linear matrix inequalities (LMIs) where p is the number of rules of the fuzzy plant model. In this paper, the number is reduced to 2p+1. Furthermore, gains of the fuzzy observer-controller can be derived from the solution of the LMIs. Separation principle of the fuzzy observer-controller will be proved.",

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N2 - Stability of a fuzzy system controlled by a fuzzy observer-controller will be investigated in this paper. In general the stability condition is a common solution of [p(p+1)+2p)]/2 linear matrix inequalities (LMIs) where p is the number of rules of the fuzzy plant model. In this paper, the number is reduced to 2p+1. Furthermore, gains of the fuzzy observer-controller can be derived from the solution of the LMIs. Separation principle of the fuzzy observer-controller will be proved.

AB - Stability of a fuzzy system controlled by a fuzzy observer-controller will be investigated in this paper. In general the stability condition is a common solution of [p(p+1)+2p)]/2 linear matrix inequalities (LMIs) where p is the number of rules of the fuzzy plant model. In this paper, the number is reduced to 2p+1. Furthermore, gains of the fuzzy observer-controller can be derived from the solution of the LMIs. Separation principle of the fuzzy observer-controller will be proved.

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M3 - Conference article published in proceeding or book

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BT - IEEE International Conference on Fuzzy Systems

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Y2 - 2 December 2001 through 5 December 2001

ER -

Stability analysis and design of fuzzy observer-controller for fuzzy systems

Abstract

Conference

ASJC Scopus subject areas

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