Multi-consensus of multi-agent networks via a rectangular impulsive approach

被引：38
|
作者：
Han, Guang-Song [1 ,2 ]
Guan, Zhi-Hong [1 ,2 ]
Li, Juan [3 ]
Liao, Rui-Quan [4 ]
Cheng, Xin-Ming [5 ]
机构：
[1] Huazhong Univ Sci & Technol, Coll Automat, Wuhan 430074, Peoples R China
[2] Huazhong Univ Sci & Technol, Minist Educ, Key Lab Image Informat Proc & Intelligent Control, Wuhan 430074, Peoples R China
[3] Zhongnan Univ Econ & Law, Sch Math & Stat, Wuhan 430073, Peoples R China
[4] Yangtze Univ, Petr Engn Coll, Jinzhou 434023, Peoples R China
[5] Cent S Univ, Sch Informat Sci & Engn, Changsha 410012, Hunan, Peoples R China
来源：
SYSTEMS & CONTROL LETTERS | 2015年 / 76卷
基金：
中国国家自然科学基金;
关键词：
Multi-agent networks; Stationary multi-consensus; Dynamic multi-consensus; Rectangular impulsive approach; SYSTEMS; COMMUNICATION; TOPOLOGIES;
D O I：
10.1016/j.sysconle.2014.11.010
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A multi-consensus problem is studied in multi-agent networks. The interaction mechanism of competition/abstention/cooperation among agents is introduced. Three rectangular impulsive protocols are proposed to solve multi-consensus of second order multi-agent networks with a directed topology. These algorithms have the performance of Dirac impulsive control and discrete-time control. Necessary and sufficient conditions are obtained for the stationary multi-consensus and the dynamic multi-consensus. Numerical examples are provided to illustrate the effectiveness of the obtained criteria. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码：28 / 34
页数：7
相关论文
共 50 条
  • [1] Multi-consensus of multi-agent systems with various intelligences using switched impulsive protocols
    Han, Guang-Song
    He, Ding-Xin
    Guan, Zhi-Hong
    Hu, Bin
    Li, Tao
    Liao, Rui-Quan
    [J]. INFORMATION SCIENCES, 2016, 349 : 188 - 198
  • [2] Stationary multi-consensus and convergence performance optimization of multi-agent systems via rectangular wave controller
    Yang, Chun-Xi
    Zhang, Jing
    Han, Guang-Song
    Zhu, Jie
    [J]. Kongzhi yu Juece/Control and Decision, 2020, 35 (08): : 2029 - 2036
  • [3] MULTI-CONSENSUS OF NONLINEARLY NETWORKED MULTI-AGENT SYSTEMS
    Li, Juan
    Guan, Zhi-Hong
    Chen, Guanrong
    [J]. ASIAN JOURNAL OF CONTROL, 2015, 17 (01) : 157 - 164
  • [4] Event-driven multi-consensus of multi-agent networks with repulsive links
    Hu, Bin
    Guan, Zhi-Hong
    Jiang, Xiao-Wei
    Chi, Ming
    Liao, Rui-Quan
    Chen, Chao-Yang
    [J]. INFORMATION SCIENCES, 2016, 373 : 110 - 123
  • [5] Assignment-Driven Multi-consensus in Second-order Multi-agent Systems via Impulsive Control with Heterogeneous delays
    Wei, Yao-Wen
    Yi, Jing-Wen
    Wang, Yan-Wu
    Xiao, Jiang-Wen
    [J]. 2016 12TH IEEE INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION (ICCA), 2016, : 553 - 558
  • [6] Consensus of a new multi-agent system via multi-task, multi-control mechanism and multi-consensus strategy
    Hu, Xiang
    Xiong, Yu
    Zhang, Zufan
    Li, Chuandong
    [J]. NEUROCOMPUTING, 2024, 584
  • [7] Consensus of Multi-agent Directed Networks with Nonlinear Perturbations via Impulsive Control
    Xiong, Wenjun
    Ho, Daniel W. C.
    [J]. PROCEEDINGS OF THE 48TH IEEE CONFERENCE ON DECISION AND CONTROL, 2009 HELD JOINTLY WITH THE 2009 28TH CHINESE CONTROL CONFERENCE (CDC/CCC 2009), 2009, : 5804 - 5808
  • [8] Variable Impulsive Consensus of Multi-Agent Systems via Fuzzy Modelling Approach
    Zhang, Zhengle
    Ma, Tiedong
    Shi, Peng
    [J]. 2023 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, FUZZ, 2023,
  • [9] Rectangular Impulsive Consensus of Multi-agent Systems with Heterogeneous Control Widths
    Ye, Pengpeng
    He, Jiafan
    Li, Yinya
    Qi, Guoqing
    Sheng, Andong
    [J]. 2019 12TH ASIAN CONTROL CONFERENCE (ASCC), 2019, : 913 - 918
  • [10] Impulsive consensus of multi-agent directed networks with nonlinear perturbations
    Xiong, Wenjun
    Ho, Daniel W. C.
    Cao, Jinde
    [J]. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2012, 22 (14) : 1571 - 1582
12345