Event-triggered impulsive control for stability of stochastic delayed complex networks under deception attacks

计算机科学 欺骗 理论(学习稳定性) 事件(粒子物理) 计算机安全 控制(管理) 人工智能 法学 政治学 量子力学 机器学习 物理
作者
Ni Yang,Shuo Zhang,Huan Su
出处
期刊:Engineering Applications of Artificial Intelligence [Elsevier BV]
卷期号:121: 105953-105953 被引量:19
标识
DOI:10.1016/j.engappai.2023.105953
摘要

In this paper, we consider the stability of stochastic complex networks with time-varying delays (SCNTD) under deception attacks, adopting the event-triggered impulsive control (ETIC). A new event-triggered mechanism (ETM) which was used to determine the impulsive instance is given using the topology of networks and the Lyapunov functions of subsystems. For stochastic complex networks, to avoid the Zeno behavior, a positive minimum inter-event time (MIET) is guaranteed. Combining the graph theory and the Lyapunov–Razumikhin method, several criteria for achieving pth moment exponential stability (pMES) of SCNTD under deception attacks which are related to the topology of networks, the event-triggered parameters and the signal sent by the enemy are obtained. Finally, the theoretical results apply to the stochastic oscillator systems, single-link robot arms systems, and Chua’s circuit systems. The stability of these systems under deception attacks is considered separately, and to show the validity of our theories, numerical simulations are provided.
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