文献类型：期刊文献

英文题名：Composite Antidisturbance H∞ Control for Hidden Markov Jump Systems With Multi-Sensor Against Replay Attacks

作者：Wang, Jing[1,2];Wang, Dongji[3];Yan, Huaicheng[2,4];Shen, Hao[1]

机构：[1]Anhui Univ Technol, Sch Elect Engn & Informat, Anshan 243032, Peoples R China;[2]East China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai 200237, Peoples R China;[3]Nanjing Univ Sci & Technol, Sch Automat, Nanjing 210094, Peoples R China;[4]East China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai, Peoples R China

年份：2024

卷号：69

期号：3

起止页码：1760

外文期刊名：IEEE TRANSACTIONS ON AUTOMATIC CONTROL

收录：;EI(收录号：20234615061362);WOS:【SCI-EXPANDED(收录号:WOS:001179005900016)】；

基金：No Statement Available

语种：英文

外文关键词：Hidden Markov models; Markov processes; Output feedback; Disturbance observers; Detectors; Cyberattack; System performance; Composite antidisturbance control; hidden Markov jump systems; multi-sensor approach; replay attacks

摘要：This article discusses the problem of composite H(infinity )control for hidden Markov jump systems subject to replay attacks. Since it is difficult to obtain the mode information of the system directly in practice, a hidden Markov model is adopted to facilitate subsequent works. The hidden state represents the actual system dynamics that cannot be known exactly, but can be observed by the detector. Considering the multi-disturbance phenomenon, one of which is norm bounded and another is produced by an exogenous system, a composite H-infinity control scheme based on disturbance observer is designed to improve the antidisturbance ability of the system. In addition, with the help of multi-sensor approach, a detection scheme, revealing the attacker's tactics and determining which sensor is assaulted, is presented to withstand replay attacks. Then, a composite disturbance observer-based controller, ensuring that the resulting system is stochastically stable with an expected H-infinity performance under replay attacks, is designed by solving convex optimization problems. Finally, the effectiveness and superiority of the developed method are verified by an example.