Cart (Loading....) | Create Account
Close category search window

Optimal Control of Nonlinear Systems via T-S Fuzzy Model

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
$31 $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

2 Author(s)
Li Liu ; Sch. of Electr. Eng., Yanshan Univ., Qinhuangdao, China ; Xiulong Li

In this article, nonlinear systems are described by T-S fuzzy models, by which controlling nonlinear systems is converted into controlling a series of partial linear systems. In order to control every partial linear system, an optimal control scheme is proposed and thus the problem of controlling nonlinear systems is resolved. The ability of the proposed control method in stabilizing the unstable periodic orbits of the nonlinear systems is analytically proved and the effectiveness of the method is numerically illustrated by implementing it to the chaotic Lorenz system and the chaotic Rössler system.

Published in:

Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2010 2nd International Conference on  (Volume:1 )

Date of Conference:

26-28 Aug. 2010

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.