Distributed secure consensus control of nonlinear multi-agent systems under sensor and actuator attacks

被引:6
|
作者
Gorbachev, Sergey [1 ]
Yang, Yang [2 ,3 ]
Liu, Qidong [2 ,3 ]
Ge, Jingzhi [2 ,3 ]
Yue, Dong [2 ,3 ]
Mani, Ashish [1 ]
Shevchuk, Dmytro [1 ]
机构
[1] Chongqing Univ Educ, Sch Artificial Intelligence, Chongqing 400065, Peoples R China
[2] Nanjing Univ Posts & Telecommun, Coll Automat, Nanjing 210023, Peoples R China
[3] Nanjing Univ Posts & Telecommun, Coll Artificial Intelligence, Nanjing 210023, Peoples R China
来源
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2023年 / 360卷 / 11期
关键词
CYBER-PHYSICAL SYSTEMS; DYNAMIC SURFACE CONTROL; DATA INJECTION ATTACKS; DEAD-ZONE; TRACKING; AGENTS;
D O I
10.1016/j.jfranklin.2023.05.024
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 paper, we focus on an output secure consensus control issue for nonlinear multi-agent systems (MASs) under sensor and actuator attacks. Followers in an MAS are in strict-feedback form with unknown control directions and unknown dead-zone input, where both sensors and nonlinear characteristics of dead-zone in actuators are paralyzed by malicious attacks. To deal with sensor attacks, uncertain dynamics in individual follower are separated by a separation theorem, and estimation parameters are introduced for compensating and mitigating the influence from adversaries. The influence from actuator attacks are treated as a total displacement in a dead-zone nonlinearity, and an upper bound, as well as its estimation, is introduced for this displacement. The dead-zone nonlinearity, sensor attacks and unknown control gains are gathered together regarded as composite unknown control directions, and Nussbaum functions are utilized to address the issue of unknown control directions. A distributed secure consensus control strategy is thus developed recursively for each follower in the framework of surface control method. Theoretically, the stability of the closed-loop MAS is analyzed, and it is proved that the MAS achieves output consensus in spite of nonlinear dynamics and malicious attacks. Finally, theoretical results are verified via a numerical example and a group of electromechanical systems. & COPY; 2023 The Franklin Institute. Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:7501 / 7534
页数:34
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