Resilient observer-based event-triggered control for cyber-physical systems under asynchronous denial-of-service attacks

被引:0
作者
Yifang Zhang
Zhengguang Wu
Zongze Wu
Deyuan Meng
机构
[1] Zhejiang University,State Key Laboratory of Industrial Control Technology, Institute of Cyber
[2] Guangdong University of Technology,Systems and Control
[3] Beihang University (BUAA),School of Automation
[4] Beihang University (BUAA),Seventh Research Division
来源
Science China Information Sciences | 2022年 / 65卷
关键词
cyber-physical systems; input-to-state stability; asynchronous DoS attacks; observer; event-triggered control;
D O I
暂无
中图分类号
学科分类号
摘要
We develop the resilient observer-based event-triggered control update strategy in this paper. It is utilized to achieve the input-to-state stability (ISS) of cyber-physical systems (CPSs) when there is an asynchronous denial-of-service (DoS) attack, which is launched by malicious adversaries both on measurement channel and control channel in a random attack strategy. To estimate the unmeasurable states while saving the limited networked bandwidth, an H∞ observer-based event-triggered control scheme is first designed to guarantee the ISS of CPSs with economic communication. Moreover, the occurrence of Zeno behavior can be eliminated by providing the existence of a lower positive bound of any two inter-event times. Then, a recursive model of asynchronous DoS attacks is introduced. A resilient control update strategy is proposed and further analyzed to derive the stability criterion of CPSs. At last, a numerical simulation example is given to demonstrate the effectiveness of the introduced control update policy.
引用
收藏
相关论文
共 76 条
[1]  
Schenato L(2007)Foundations of control and estimation over lossy networks Proc IEEE 95 163-187
[2]  
Sinopoli B(2021)Adaptive event-based tracking control of unmanned marine vehicle systems with DoS attack J Franklin Institute 358 1915-1939
[3]  
Franceschetti M(2015)Secure control systems: a quantitative risk management approach IEEE Control Syst 35 24-45
[4]  
Ye Z(2017)Covert attacks in cyber-physical control systems IEEE Trans Ind Inf 13 1641-1651
[5]  
Zhang D(2015)A secure control framework for resource-limited adversaries Automatica 51 135-148
[6]  
Wu Z G(2015)Input-to-state stabilizing control under denial-of-service IEEE Trans Automat Contr 60 2930-2944
[7]  
Teixeira A(2017)Resilient control under denial-of-service: robust design Automatica 79 42-51
[8]  
Sou K C(2018)Input-to-state stabilizing control for cyber-physical systems with multiple transmission channels under denial of service IEEE Trans Automat Contr 63 1813-1820
[9]  
Sandberg H(2019)Decentralized adaptive fuzzy secure control for nonlinear uncertain interconnected systems against intermittent DoS attacks IEEE Trans Cybern 49 827-838
[10]  
de Sá A O(2020)Resilient model predictive control of cyber-physical systems under DoS attacks IEEE Trans Ind Inf 16 4920-4927