Adaptive control of a class of strict feedback nonlinear systems under replay attacks

被引：48

作者：

Huang, Jiangshuai ^{[1
]}

Zhao, Ling ^{[2
]}

Wang, Qing-Guo ^{[3
]}

机构：

[1] Chongqing Univ, Sch Automat, Chongqing 400044, Peoples R China

[2] Chongqing Jiaotong Univ, Sch Comp Sci & Technol, Chongqing, Peoples R China

[3] Univ Johannesburg, Inst Intelligent Syst, Sch Elect Engn, Johannesburg, South Africa

来源：

ISA TRANSACTIONS | 2020年 / 107卷

基金：

中国国家自然科学基金;

关键词：

Adaptive control; Nonlinear systems; Replay attack; Cyber-physical systems;

D O I：

10.1016/j.isatra.2020.08.001

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The adaptive control of a class of strict-feedback nonlinear system under replay attack is investigated in this paper. Durations of each attack and the resting time after each attack are analyzed and their explicit bounds are presented to ensure closed-loop stability. Two scenarios are considered. In the first scenario, it is shown that if the duration of each attack is less than a given constant, asymptotical convergence of system output is still preserved. The second scenario shows that if the resting time of each attack meets certain condition after each arbitrarily long duration of attack, closed-loop boundedness is still preserved. This shows that the system controlled under our proposed adaptive controller will not be broken down even in the presence of replay attacks. Simulation results are given to illustrate the effectiveness of the control schemes. (C) 2020 ISA. Published by Elsevier Ltd. All rights reserved.

引用

页码：134 / 142

页数：9

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