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作者:

Du, Shengli (Du, Shengli.) (学者:杜胜利) | Xu, Wenying (Xu, Wenying.) | Qiao, Junfei (Qiao, Junfei.) | Ho, Daniel W. C. (Ho, Daniel W. C..)

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EI Scopus SCIE

摘要:

This article investigates the resilient output synchronization problem of a class of linear heterogeneous multiagent systems subjected to denial-of-service (DoS) attacks. Two types of control mechanisms, namely, event- and self-triggered control mechanisms, are presented so as to cut down unnecessary information transmission. Both of these two mechanisms are distributed, and thus, only local information of each agent and its neighboring agents is adopted for the event condition design. The DoS attacks are considered to be aperiodic, and the quantitative relationship between the attributes of the DoS attacks and the synchronization is also revealed. It is shown that the output synchronization can be achieved exponentially in the presence of DoS attacks under the proposed control mechanisms. The validness of the provided mechanisms is certified by a simulation example.

关键词:

Synchronization Laplace equations self-triggered control Security Denial-of-service attack multiagent systems Eigenvalues and eigenfunctions output synchronization event Denial-of-service (DoS) attacks Communication networks Multi-agent systems

作者机构:

  • [ 1 ] [Du, Shengli]Beijing Univ Technol, Sch Artificial Intelligence & Automat, Beijing 100124, Peoples R China
  • [ 2 ] [Qiao, Junfei]Beijing Univ Technol, Sch Artificial Intelligence & Automat, Beijing 100124, Peoples R China
  • [ 3 ] [Du, Shengli]Beijing Key Lab Computat Intelligence & Intellige, Beijing 100124, Peoples R China
  • [ 4 ] [Qiao, Junfei]Beijing Key Lab Computat Intelligence & Intellige, Beijing 100124, Peoples R China
  • [ 5 ] [Du, Shengli]Minist Educ, Engn Res Ctr Intelligent Percept & Autonomous Con, Beijing 100124, Peoples R China
  • [ 6 ] [Qiao, Junfei]Minist Educ, Engn Res Ctr Intelligent Percept & Autonomous Con, Beijing 100124, Peoples R China
  • [ 7 ] [Xu, Wenying]Southeast Univ, Sch Math, Nanjing 211189, Peoples R China
  • [ 8 ] [Xu, Wenying]Potsdam Inst Climate Impact Res, D-14412 Potsdam, Germany
  • [ 9 ] [Ho, Daniel W. C.]City Univ Hong Kong, Dept Math, Hong Kong, Peoples R China

通讯作者信息:

  • [Du, Shengli]Beijing Univ Technol, Sch Artificial Intelligence & Automat, Beijing 100124, Peoples R China;;

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来源 :

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS

ISSN: 2162-237X

年份: 2021

期: 3

卷: 34

页码: 1169-1178

1 0 . 4 0 0

JCR@2022

ESI学科: COMPUTER SCIENCE;

ESI高被引阀值:87

JCR分区:1

被引次数:

WoS核心集被引频次: 25

SCOPUS被引频次: 28

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 3

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