Resilient Hybrid Event-Triggered Control for Secure Synchronization of Lur'e Systems Against DoS Attacks

IF 6.7 2区计算机科学 Q1 ENGINEERING, MULTIDISCIPLINARY

IEEE Transactions on Network Science and Engineering Pub Date : 2024-12-26 DOI:10.1109/TNSE.2024.3522991

Yanyan Ni;Zhen Wang;Yingjie Fan;Xia Huang;Hao Shen

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引用次数: 0

Abstract

In this paper, a resilient hybrid event-triggered (RHET) scheme is presented to deal with the secure synchronization issue of Lur'e systems to resist denial-of-service (DoS) attacks. The causes of considering this issue are threefold: 1) networked control systems (NCSs) are always limited by the network bandwidth and are vulnerable to DoS attacks 2) the existing models cannot describe the RHET control systems under DoS attacks and 3) the existing functionals are either inappropriate or conservative for addressing the secure synchronization problem. To overcome these challenges, an RHET scheme which is integrates of the sampled-data control and the continuous event-triggered control, is firstly proposed to reduce the effect of DoS attacks as well as the number of data release. On this basis, a switched closed-loop system model for Lur'e systems under RHET control and DoS attacks is established. By fully employing the state information in the sampling interval and the attack interval, two multi-interval-dependent functionals are designed to conduct the stability analysis. Subsequently, the continuity of the constructed functionals, the convex combination technique and some estimation techniques are jointly utilized to derive the exponential synchronization results and to design a secure controller. Finally, two simulation examples, including a hyperchaotic system and a neural network, are utilized to testify the effectiveness of the presented RHET control method in achieving the secure synchronization.

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来源期刊

IEEE Transactions on Network Science and Engineering Engineering-Control and Systems Engineering

CiteScore

12.60

自引率

9.10%

发文量

393

期刊介绍： The proposed journal, called the IEEE Transactions on Network Science and Engineering (TNSE), is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level. The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks.