Affiliation of Author(s):自动化学院
Journal:Circ Syst Signal Process
Abstract:In this work, the adaptive event-triggered synchronization in a class of master–slave neutral neural networks with time-varying delay is studied. The design of decentralized event-triggered scheme is proposed, which only utilizes local available information to determine the released instants from multiple sensors to a centralized controller. Different from existing ones, the triggering thresholds depend on real-time performance of controlled system. Together with some novel Lyapunov terms, an augmented Lyapunov–Krasovskii functional is constructed, in which the interconnection between time delays can be fully utilized. In particular, a less conservative condition on controller gain is obtained in terms of linear matrix inequalities. Finally, the derived results are verified by resorting to two numerical examples. © 2018, Springer Science+Business Media, LLC, part of Springer Nature.
ISSN No.:0278-081X
Translation or Not:no
Date of Publication:2019-02-15
Co-author:Yu, Yaobao,Wang, Ting,Fei, Shumin
Correspondence Author:李涛
Date of Publication:2019-02-15
Li Tao
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Gender:Male
Education Level:东南大学
Paper Publications
Decentralized Adaptive Event-Triggered Synchronization of Neutral Neural Networks with Time-Varying Delays
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