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所属单位：自动化学院

发表刊物：NEUROCOMPUTING

关键字：Networked control systems Adaptive event-triggered control Stochastic cyber-attacks Asymptotical stability

摘要：This paper is concerned with an improved event-triggered control for a class of networked control systems (NCSs) under stochastic cyber-attacks with limited communication bandwidths. In order to reduce the unnecessary data transmissions, an adaptive event-triggered approach is employed to locally determine the sensor measurements whether to be transmitted or not, where the triggering thresholds can take much real-time information on the NCSs into consideration, such as the triggering error, last transmitted signal, and current sampled one. It is assumed that the network transmissions may be attacked by two types of randomly occurring cyber-attacks, then a novel mathematical model is achieved and three sufficient conditions are derived to guarantee the asymptotical stability of the closed-loop system. Especially, two augmented Lyapunov-Krasovskii functionals (LKFs) are constructed and an improved reciprocal convex technique is proposed to reduce the conservatism. Finally, two numerical examples are presented to show the effectiveness of the obtained results. (C) 2019 Elsevier B.V. All rights reserved.

ISSN号：0925-2312

是否译文：否

发表时间：2019-07-20

合写作者：Tang, Xiaoling,Zhang, Haitao,Fei, Shumin

通讯作者：李涛