Solution to global stability of fuzzy regulators via evolutionary computation

Lanka Udawatta, Keigo Watanabe, Kazuo Kiguchi, Kiyotaka Izumi

研究成果: Contribution to journalArticle査読

2 被引用数 (Scopus)

抄録

A novel approach for solving fuzzy model-based stability problems via evolutionary computation (EC) is presented. Gain scheduling problem of a multi-model fuzzy system that satisfies the Lyapunov stability criteria is solved. The generalized eigenvalue problem (GEVP) can be directly introduced to EC in searching positive definite (PD) or positive semi-definite (PSD) matrices, by making a penalty for an individual that violates the inequality condition in order to solve the nonlinear constraints or linear matrix inequalities (LMIs). Four examples for illustrating the proposed methodology are included and the results show the effectiveness.

本文言語英語
ページ(範囲)25-34
ページ数10
ジャーナルApplied Soft Computing Journal
4
1
DOI
出版ステータス出版済み - 2 2004
外部発表はい

All Science Journal Classification (ASJC) codes

  • ソフトウェア

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