By Topic

Guaranteed cost control of T-S fuzzy systems using piecewise Lyapunov function based switching fuzzy controller

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Ying-Jen Chen ; Department of Electrical Engineering, National Central University, No.300, Jhongda Rd., Jhongli, 32001, Taiwan (R.O.C.) ; Hiroshi Ohtake ; Wen-June Wang ; Kazuo Tanaka
more authors

In this study, the guaranteed cost control of continuous T-S fuzzy systems using piecewise Lyapunov function based switching fuzzy controller is presented. In our previous paper, the switching fuzzy controller, which switches depending on the piecewise Lyapunov function, was proposed. Based on the piecewise Lyapunov function and the switching fuzzy controller, more relaxed guaranteed cost control conditions are obtained. The relaxed conditions are bilinear with the s-procedure parameters. In this paper, the particle swarm optimization (PSO) algorithm, which is useful for the nonlinear optimization problem, is utilized to get the optimal control performance. A design example is provided to illustrate the validity of the design approach.

Published in:

2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC)

Date of Conference:

8-10 July 2009