4.7 Article

Improved delay-dependent robust stabilization conditions of uncertain T-S fuzzy systems with time-varying delay

Journal

FUZZY SETS AND SYSTEMS
Volume 159, Issue 20, Pages 2713-2729

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.fss.2008.03.009

Keywords

T-S fuzzy systems; robust stability; time-delay systems; linear matrix inequalities (LMIs); stabilization

Funding

  1. Australian Research Council (ARC) [DP0559111]
  2. Natural Science Foundation of China (NSFC) [60704024, 60774060]
  3. Natural Science Foundation of Jiangsu Province of China [BK2006573]
  4. Australian Government's DEST (Department of Education, Science and Training) [CH070083]

Ask authors/readers for more resources

This paper aims to develop simplified yet improved delay-dependent robust control for uncertain T-S fuzzy systems with time-varying delay. This is achieved through constructing new Lyapunov-Krasovskii functionals and improving Jensen's inequality. Unlike existing work in this area, the approach developed in this paper employs neither free-weighing matrices nor model transformations. As a result, simplified yet improved stability conditions are obtained for T-S fuzzy systems with norm-bounded-type uncertainties. For controller synthesis of the fuzzy systems, the stabilization problem with memoryless state feedback control is solved via utilizing a cone complementarity minimization algorithm. Numerical examples are given to demonstrate the effectiveness of the proposed approach. (C) 2008 Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available