Resilient practical cooperative output regulation for MASs with unknown switching exosystem dynamics under DoS attacks

被引:191
作者
Deng, Chao [1 ]
Zhang, Dan [2 ]
Feng, Gang [3 ]
机构
[1] Nanjing Univ Posts & Telecommun, Inst Adv Technol, Nanjing 210023, Peoples R China
[2] Zhejiang Univ Technol, Res Ctr Automat & Artificial Intelligence, Hangzhou, Peoples R China
[3] City Univ Hong Kong, Dept Biomed Engn, Hong Kong, Peoples R China
关键词
Cooperative output regulation; Multi-agent systems; Denial-of-service attacks; ADAPTIVE OPTIMAL-CONTROL; MULTIAGENT SYSTEMS; CONSENSUS;
D O I
10.1016/j.automatica.2022.110172
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, the resilient practical cooperative output regulation problem (CORP) is addressed for heterogeneous linear multi-agent systems with unknown switching exosystem dynamics under denial-of-service (DoS) attacks. Different from most existing cooperative output regulation works, the exosystem dynamics considered in this paper are unknown to all agents and switching in different time intervals. A novel resilient practical cooperative output regulation control scheme is developed. This scheme consists of (i) a data-driven learning algorithm to learn the unknown switching exosystem matrices; (ii) an auxiliary observer to estimate the state of the exosystem; (iii) distributed resilient observers to estimate the state of the auxiliary system; and (iv) distributed controllers for individual agents. By using the dwell-time method, rigorous stability analysis shows that the resilient observation errors are globally ultimately bounded in the presence of DoS attacks and the resilient practical CORP is solved. Finally, a simulation example is given to illustrate the effectiveness of the proposed control scheme. (C)& nbsp;2022 Elsevier Ltd. All rights reserved.
引用
收藏
页数:11
相关论文
共 28 条
[1]   Decentralized Adaptive Fuzzy Secure Control for Nonlinear Uncertain Interconnected Systems Against Intermittent DoS Attacks [J].
An, Liwei ;
Yang, Guang-Hong .
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 49 (03) :827-838
[2]   The Leader-Following Consensus for Multiple Uncertain Euler-Lagrange Systems With an Adaptive Distributed Observer [J].
Cai, He ;
Huang, Jie .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2016, 61 (10) :3152-3157
[3]   Resilient adaptive and H∞ controls of multi-agent systems under sensor and actuator faults [J].
Chen, Ci ;
Lewis, Frank L. ;
Xie, Shengli ;
Modares, Hamidreza ;
Liu, Zhi ;
Zuo, Shan ;
Davoudi, Ali .
AUTOMATICA, 2019, 102 :19-26
[4]   Robust Sampled-Data Output Synchronization of Nonlinear Heterogeneous Multi-Agents [J].
Chen, Xi ;
Chen, Zhiyong .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2017, 62 (03) :1458-1464
[5]  
Crdenas A. A., 2008, P 3 USENIX WORKSH HO
[6]   Input-to-State Stabilizing Control Under Denial-of-Service [J].
De Persis, Claudio ;
Tesi, Pietro .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2015, 60 (11) :2930-2944
[7]   Distributed Resilient Observer-Based Fault-Tolerant Control for Heterogeneous Multiagent Systems Under Actuator Faults and DoS Attacks [J].
Deng, Chao ;
Wen, Changyun .
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS, 2020, 7 (03) :1308-1318
[8]   MAS-Based Distributed Resilient Control for a Class of Cyber-Physical Systems With Communication Delays Under DoS Attacks [J].
Deng, Chao ;
Wen, Changyun .
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 51 (05) :2347-2358
[9]   Adaptive consensus output regulation of a class of nonlinear systems with unknown high-frequency gain [J].
Ding, Zhengtao .
AUTOMATICA, 2015, 51 :348-355
[10]   Resilient control under Denial-of-Service: Robust design [J].
Feng, Shuai ;
Tesi, Pietro .
AUTOMATICA, 2017, 79 :42-51