@inproceedings{626c7b9be86f4ebea0a8597ca16288f2,
title = "Relaxed stabilization conditions of T-S fuzzy systems using piecewise lyapunov function based switching fuzzy controller",
abstract = "Based on the piecewise Lyapunov function, this study proposes a switching fuzzy controller, which switches depending on the Lyapunov function, to get relaxed stabilization conditions for the continuous T-S fuzzy system. The relaxed conditions are bilinear with the s-procedure parameters, therefore the particle swarm optimization (PSO) algorithm is utilized with the LMI tool to solve the relaxed conditions. Two simulation examples are given to show the relaxation and effectiveness of the proposed method.",
author = "Chen, \{Ying Jen\} and Hiroshi Ohtake and Kazuo Tanaka and Wang, \{Wen June\} and Wang, \{Hua O.\}",
year = "2009",
doi = "10.1109/FUZZY.2009.5277097",
language = "???core.languages.en\_GB???",
isbn = "9781424435975",
series = "IEEE International Conference on Fuzzy Systems",
pages = "1276--1281",
booktitle = "2009 IEEE International Conference on Fuzzy Systems - Proceedings",
note = "2009 IEEE International Conference on Fuzzy Systems ; Conference date: 20-08-2009 Through 24-08-2009",
}