Decentralized Adaptive Secure Control of Uncertain Nonlinear Time-Varying Interconnected Systems Against Sensor and Actuator Attacks

被引：1
|
作者：
Yu, Mengze [1 ]
Wang, Wei [1 ,2 ]
Huang, Jiangshuai [3 ]
Wen, Changyun [4 ]
Zhou, Jing [5 ]
机构：
[1] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China
[2] Zhongguancun Lab, Beijing 100094, Peoples R China
[3] Chongqing Univ, Sch Automat, Chongqing 400044, Peoples R China
[4] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
[5] Univ Agder, Dept Engn Sci, N-4898 Grimstad, Norway
来源：
IEEE TRANSACTIONS ON CYBERNETICS | 2024年 / 54卷 / 09期
基金：
中国国家自然科学基金;
关键词：
Actuators; Stability analysis; Interconnected systems; Upper bound; Uncertainty; Lyapunov methods; Linear systems; Adaptive resilient control; cyber-physical systems (CPSs); interconnected systems; sensor/actuator attacks; time varying; NETWORKED CONTROL-SYSTEMS;
D O I：
10.1109/TCYB.2024.3373198
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this article, the decentralized adaptive secure control problem for cyber-physical systems (CPSs) against deception attacks is investigated. The CPSs are formed as a type of nonlinear interconnected strict-feedback systems with uncertain time-varying parameters. The attack affects the information transmission between sensor and actuator in a multiplicative manner. A novel decentralized adaptive backstepping secure control strategy is established by exploiting a particular kind of Nussbaum functions and a flat-zone Lyapunov function analysis approach. It is shown that all of closed-loop signals remain globally bounded, and each output signal eventually converges into a small neighborhood of the origin. Simulation results on an illustrative example are provided to display the effectiveness of the proposed control scheme.
引用
收藏
页码：5012 / 5025
页数：14
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