Impulsive consensus of stochastic multi-agent systems under semi-Markovian switching topologies and application

被引:32
作者
Hu, Zenghui [1 ]
Mu, Xiaowu [1 ]
机构
[1] Zhengzhou Univ, Sch Math & Stat, Zhengzhou 450001, Peoples R China
基金
中国国家自然科学基金;
关键词
Stochastic multi-agent systems; Semi-Markovian switching topologies; Impulsive consensus; Random cyber-attacks; LEADER-FOLLOWING CONSENSUS; DISTRIBUTED CONSENSUS; TRACKING; SUBJECT;
D O I
10.1016/j.automatica.2023.110871
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 paper studied the impulsive consensus of stochastic multi-agent systems (MASs) under semi-Markovian switching topologies. The semi-Markovian process is employed to describe the random changes of communication topologies among agents. Applying the impulsive control method, the communication among agents is only needed at impulsive control instants. For the connectivity of communication topologies, we only require that partial communication topologies contain a directed spanning tree, which remove the restriction that every communication topology contains a directed spanning tree in existing works. Using the Lyapunov function method and the stationary distribution of semi-Markovian process, the impulsive control protocol (ICP) is designed to ensure the almost surely exponential consensus of stochastic MASs. As an application, the obtained result is used to solve the secure impulsive consensus of stochastic MASs under random cyber-attacks. We proposed a novel model of random cyber-attacks, in which adversaries can destroy communication links of agents and durations of attack-active interval and attack-free interval are random variables. A simulation example is given to show the effectiveness of obtained results.(c) 2023 Elsevier Ltd. All rights reserved.
引用
收藏
页数:10
相关论文
共 36 条
[1]  
[Anonymous], 2014, Cooperative Control of Multi-agent Systems a Consensus Region Approach
[2]   Coordinated target assignment and intercept for unmanned air vehicles [J].
Beard, RW ;
McLain, TW ;
Goodrich, MA ;
Anderson, EP .
IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, 2002, 18 (06) :911-922
[3]  
Boyd S., 1994, Linear matrix inequalities in system and control theory
[4]   Event-triggered leader-following consensus for multi-agent systems with semi-Markov switching topologies [J].
Dai, Jiangtao ;
Guo, Ge .
INFORMATION SCIENCES, 2018, 459 :290-301
[5]   Distributed consensus tracking for multi-agent systems under two types of attacks [J].
Feng, Zhi ;
Hu, Guoqiang ;
Wen, Guanghui .
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2016, 26 (05) :896-918
[6]   H∞ leader-following consensus of nonlinear multi-agent systems under semi-Markovian switching topologies with partially unknown transition rates [J].
He, Minhong ;
Mu, Jingru ;
Mu, Xiaowu .
INFORMATION SCIENCES, 2020, 513 :168-179
[7]   Cucker-Smale flocking subject to random failure on general digraphs [J].
He, Yuehua ;
Mu, Xiaowu .
AUTOMATICA, 2019, 106 :54-60
[8]   Event-Triggered Impulsive Control for Nonlinear Stochastic Systems [J].
Hu, Zenghui ;
Mu, Xiaowu .
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 52 (08) :7805-7813
[9]  
Kobayashi H., 2012, Probability, Random processes and statistical analysis
[10]   Impulsive control of stochastic systems with applications in chaos control, chaos synchronization, and neural networks [J].
Li, Chunguang ;
Chen, Luonan ;
Aihara, Kazuyuki .
CHAOS, 2008, 18 (02)