LMI relaxed stability conditions for fuzzy-model-based control systems

H. K. Lam; Hung Fat Frank Leung

doi:10.1109/FUZZY.2006.1681968

LMI relaxed stability conditions for fuzzy-model-based control systems

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

This paper investigates the system stability of the fuzzy-model-based control systems. New stability conditions in terms of linear matrix inequalities (LMIs) will be derived based on the Lyapunov-based approach. It will be shown that the proposed stability conditions offer relaxed stability result than that of some important published stability conditions. The feedback gains of the fuzzy controller will be designed based on the LMI-based approach. A numerical example will be given to show the merits of the proposed stability conditions.

Original language	English
Title of host publication	2006 IEEE International Conference on Fuzzy Systems
Pages	1932-1938
Number of pages	7
DOIs	https://doi.org/10.1109/FUZZY.2006.1681968
Publication status	Published - 1 Dec 2006
Event	2006 IEEE International Conference on Fuzzy Systems - Vancouver, BC, Canada Duration: 16 Jul 2006 → 21 Jul 2006

Conference

Conference	2006 IEEE International Conference on Fuzzy Systems
Country/Territory	Canada
City	Vancouver, BC
Period	16/07/06 → 21/07/06

ASJC Scopus subject areas

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

More information

10.1109/FUZZY.2006.1681968

http://hdl.handle.net/10397/1423

Cite this

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AB - This paper investigates the system stability of the fuzzy-model-based control systems. New stability conditions in terms of linear matrix inequalities (LMIs) will be derived based on the Lyapunov-based approach. It will be shown that the proposed stability conditions offer relaxed stability result than that of some important published stability conditions. The feedback gains of the fuzzy controller will be designed based on the LMI-based approach. A numerical example will be given to show the merits of the proposed stability conditions.

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LMI relaxed stability conditions for fuzzy-model-based control systems

Abstract

Conference

ASJC Scopus subject areas

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