非线性系统
控制器(灌溉)
符号
应用数学
服务拒绝攻击
理论(学习稳定性)
离散数学
功能(生物学)
指数函数
数学
计算机科学
事件(粒子物理)
数学分析
互联网
算术
机器学习
物理
万维网
生物
进化生物学
量子力学
农学
作者
Pengyu Zeng,Feiqi Deng,Xiaobin Gao,Xiaohua Liu
出处
期刊:IEEE transactions on cybernetics
[Institute of Electrical and Electronics Engineers]
日期:2023-02-01
卷期号:53 (2): 1170-1183
被引量:18
标识
DOI:10.1109/tcyb.2021.3103871
摘要
This article investigates event-triggered and self-triggered $\mathcal {L}_{\infty }$ control problems for the Markov jump stochastic nonlinear systems subject to denial-of-service (DoS) attacks. When attacks prevent system devices from obtaining valid information over networks, a new switched model with unstable subsystems is constructed to characterize the effect of DoS attacks. On the basis of the switched model, a multiple Lyapunov function method is utilized and a set of sufficient conditions incorporating the event-triggering scheme (ETS) and restriction of DoS attacks are provided to preserve $\mathcal {L}_{\infty }$ performance. In particular, considering that ETS based on mathematical expectation is difficult to be implemented on a practical platform, a self-triggering scheme (STS) without mathematical expectation is presented. Meanwhile, to avoid the Zeno behavior resulted from general exogenous disturbance, a positive lower bound is fixed in STS in advance. In addition, the exponent parameters are designed in STS to reduce triggering frequency. Based on the STS, the mean-square asymptotical stability and almost sure exponential stability are both discussed when the system is in the absence of exogenous disturbance. Finally, two examples are given to substantiate the effectiveness of the proposed method.
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