Observer-Based Event-Triggered Containment Control for MASs Under DoS Attacks

被引:149
作者
Ma, Yong-Sheng [1 ]
Che, Wei-Wei [1 ]
Deng, Chao [2 ]
Wu, Zheng-Guang [3 ]
机构
[1] Qingdao Univ, Dept Automat, Shandong Key Lab Ind Control Technol, Qingdao 266071, Peoples R China
[2] Nanjing Univ Posts & Telecommun, Inst Adv Technol, Nanjing 210000, Peoples R China
[3] Zhejiang Univ, Inst Cyber Syst & Control, State Key Lab Ind Control Technol, Hangzhou 310027, Peoples R China
基金
中国国家自然科学基金;
关键词
Observers; Denial-of-service attack; Design methodology; Circuit faults; Fault tolerant systems; Fault tolerance; Cyberattack; Containment control; denial-of-service (DoS) attacks; event-triggered mechanism; multiagent systems (MASs); MULTIAGENT SYSTEMS; CONSENSUS;
D O I
10.1109/TCYB.2021.3104178
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article studies the observer-based event-triggered containment control problem for linear multiagent systems (MASs) under denial-of-service (DoS) attacks. In order to deal with situations where MASs states are unmeasurable, an improved separation method-based observer design method with less conservativeness is proposed to estimate MASs states. To save communication resources and achieve the containment control objective, a novel observer-based event-triggered containment controller design method based on observer states is proposed for MASs under the influence of DoS attacks, which can make the MASs resilient to DoS attacks. In addition, the Zeno behavior can be eliminated effectively by introducing a positive constant into the designed event-triggered mechanism. Finally, a practical example is presented to illustrate the effectiveness of the designed observer and the event-triggered containment controller.
引用
收藏
页码:13156 / 13167
页数:12
相关论文
共 52 条
[1]  
[Anonymous], 2015, Nonlinear Systems
[2]   Containment Control with Multiple Stationary or Dynamic Leaders Under a Directed Interaction Graph [J].
Cao, Yongcan ;
Ren, Wei .
PROCEEDINGS OF THE 48TH IEEE CONFERENCE ON DECISION AND CONTROL, 2009 HELD JOINTLY WITH THE 2009 28TH CHINESE CONTROL CONFERENCE (CDC/CCC 2009), 2009, :3014-3019
[3]   A sliding mode observer for robust fault reconstruction in a class of nonlinear non-infinitely observable descriptor systems [J].
Chan, Joseph Chang Lun ;
Lee, Tae H. ;
Tan, Chee Pin .
NONLINEAR DYNAMICS, 2020, 101 (02) :1023-1036
[4]   H∞ Containment Control of Multiagent Systems Under Event-Triggered Communication Scheduling: The Finite-Horizon Case [J].
Chen, Wei ;
Ding, Derui ;
Ge, Xiaohua ;
Han, Qing-Long ;
Wei, Guoliang .
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 50 (04) :1372-1382
[5]   Event-based containment control for multi-agent systems with packet dropouts [J].
Chen, Wei ;
Ding, Derui ;
Wei, Guoliang ;
Zhang, Sunjie ;
Li, Yurong .
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2018, 49 (12) :2658-2669
[6]   Distributed Observer-Based Cooperative Control Approach for Uncertain Nonlinear MASs Under Event-Triggered Communication [J].
Deng, Chao ;
Wen, Changyun ;
Huang, Jiangshuai ;
Zhang, Xian-Ming ;
Zou, Ying .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2022, 67 (05) :2669-2676
[7]   Learning-Based Distributed Resilient Fault-Tolerant Control Method for Heterogeneous MASs Under Unknown Leader Dynamic [J].
Deng, Chao ;
Jin, Xiao-Zheng ;
Che, Wei-Wei ;
Wang, Hai .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 33 (10) :5504-5513
[8]   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
[9]   Recursive Filtering of Distributed Cyber-Physical Systems With Attack Detection [J].
Ding, Derui ;
Han, Qing-Long ;
Wang, Zidong ;
Ge, Xiaohua .
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 51 (10) :6466-6476
[10]   Neural-Network-Based Consensus Control for Multiagent Systems With Input Constraints: The Event-Triggered Case [J].
Ding, Derui ;
Wang, Zidong ;
Han, Qing-Long .
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 50 (08) :3719-3730