Article ID Journal Published Year Pages File Type
6865146 Neurocomputing 2018 19 Pages PDF
Abstract
This paper is concerned with network-based fuzzy H∞ 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 H∞ 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
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