By Topic

Design fuzzy controllers based on T-S fuzzy model via control Lyapunov function

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)
Song-Shyong Chen ; Dept. of Electr. Eng., Chin Min Coll. of Technol. & Commerce, Taiwan ; Yuan-Chang Chang

The paper presents a novel fuzzy control design approach based on control Lyapunov function. The proposed approach can design stable controllers for a T-S fuzzy model of which the consequents are affine nonlinear state dynamic equations. The proposed fuzzy controller guarantees the stability of the closed loop system. The Sontag formula developed for affine nonlinear control systems is employed to construct a T-S fuzzy controller. Based on a control Lyapunov function approach, we derive a sufficient condition to ensure the stability of the closed loop fuzzy system. Moreover, the proposed condition leads to control Lyapunov function nonlinear standpoints that can find a desired controller directly and avoid solving simultaneous matrix inequality, which usually must be solved through numerical methods. Finally, two examples are provided to illustrate the effectiveness of our approach.

Published in:

Machine Learning and Cybernetics, 2003 International Conference on  (Volume:1 )

Date of Conference:

2-5 Nov. 2003