By Topic

Improved LMI-based conditions for quadratic stabilization of Takagi-Sugeno fuzzy systems

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

1 Author(s)
Wei Me ; South China Univ. of Technol., Guangzhou

This note is concerned with quadratic stabilization problem of continuous nonlinear control system given by Takagi-Sugeno(T-S) fuzzy models. It provides improved linear matrix inequality (LMI)-based conditions to compute a T-S state-feedback gain that makes closed-loop system quadratically stable. The proposed conditions are based on the philosophy of Polyapsilas theorem and on the systematic construction of homogeneous polynomial solution for parameter-dependent LMI. Compared with the existing methods in the literature, these new conditions can provide less conservative or at least the same results. Finally, a simple numerical example is given to illustrate the effectiveness of the proposals.

Published in:

Control and Decision Conference, 2008. CCDC 2008. Chinese

Date of Conference:

2-4 July 2008