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所属单位：自动化学院

发表刊物：JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

关键字：VARYING DELAY SYSTEMS H-INFINITY CONTROL S FUZZY-SYSTEMS INTEGRAL INEQUALITY NEURAL-NETWORK FILTER DESIGN COMMUNICATION STABILITY SYNCHRONIZATION STABILIZATION

摘要：This paper studies the static output-feedback control in a class of networked control systems. Different from the existing results, the transmission of control signals is based on a novel adaptive event-triggered scheme, where the adaptive thresholds depend on the dynamic error of the system rather than predetermined constants as the traditional ones. The amount of the releasing data is regulated by the adaptive thresholds that play an essential role in decision of whether releasing the sampled data or not. Through fully using the information on network-induced delay and introducing two adjusting parameters, an aug-mented Lyapunov-Krasovskii (L-K) functional is constructed. Especially, some novel Wirtinger-based integral inequalities are utilized to reconsider those previously ignored information, which can help re-duce the conservatism. Furthermore, a novel constructive method is developed to obtain the controller gain by solving the achieved linear matrix inequalities (LMIs). Finally, three numerical examples are given to illustrate the efficiency of the presented results. (C) 2018 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.

ISSN号：0016-0032

是否译文：否

发表时间：2018-03-01

合写作者：Li, Zhipeng,Fei, Shumin

通讯作者：李涛