Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6865146 | Neurocomputing | 2018 | 19 Pages |
Abstract
This paper is concerned with network-based fuzzy Hâ control for a class of T-S fuzzy systems under an event-triggered communication scheme. Considering the fact that the network-induced delays are inevitable, the closed-loop system is modeled with asynchronous membership functions. To deal with the asynchronous membership functions, a new condition that limits the deviation bounds of membership functions, is introduced into the event-triggered scheme (ET scheme). Besides, by introducing a fuzzy event-triggered weighting matrix, a new ET scheme is proposed. Based on the proposed ET scheme, a novel criterion for the asymptotic stability and Hâ performance analysis is established in terms of linear matrix inequalities. Then some sufficient conditions and an algorithm to co-design the controller and the parameters of the ET scheme are presented. The effectiveness of the proposed method is illustrated through a mass-spring-damper system.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
An-Yang Lu, Ding Zhai, Jiuxiang Dong, Qing-Ling Zhang,