Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4944384 | Information Sciences | 2017 | 17 Pages |
Abstract
This paper focuses on robust stability analysis for uncertain Takagi-Sugeno fuzzy systems with time-varying delays. Two delay-product-type terms are introduced for constructing a new Lyapunov-Krasovskii functional, which contains more information of time-varying delay. And a novel relaxed integral inequality is applied to estimate the derivative of LKF for achieving reduction of estimation gap. As a result, several further robust stability criteria with less conservativeness are proposed. Finally, three numerical examples and an application to control of a truck-trailer are provided to show the effectiveness and advantages of the presented methods.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Zhi Lian, Yong He, Chuan-Ke Zhang, Min Wu,