Collective Dynamic Behavior of Heterogeneous Multiple Agent Systems

被引:0
|
作者
Shi, Hong [1 ]
Xie, Guangming [2 ]
Yu, Mei [3 ]
Liu, Bo [4 ]
机构
[1] Beijing Inst Petrochem Technol, Dept Math & Phys, Beijing 102617, Peoples R China
[2] Peking Univ, Ctr Syst & Control, Beijing 100871, Peoples R China
[3] North China Elect Power Univ, Sch Control & Comp Engn, Beijing 102206, Peoples R China
[4] North China Univ Technol, Coll Sci, Beijing 100144, Peoples R China
基金
中国国家自然科学基金;
关键词
Chase; heterogeneous; swarm; simulation; STABILITY ANALYSIS;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
A novel model of heterogeneous multiple dynamic agent systems is established, which describes the chasing process between a group of agents and their quarries. In the model, the group is modeled based on inter-individual attraction and repulsion, that is, each individual can neither move away from the whole group nor get too close to other members. Moreover, two functions are introduced to reveal the interaction between the agent group and the prey. Numerical simulations are performed and the simulation results exhibit agents' collective motion behaviors, which like what happens in real world. Main parameters' effects on chasing results are also evaluated and some mathematical analysis is given.
引用
收藏
页码:41 / 46
页数:6
相关论文
共 50 条
  • [1] Controlled Collective Behavior of the Networked Multi-Agent Systems with Heterogeneous Agent Dynamics
    Zhong, Weisong
    Cao, Wenxiu
    [J]. 2022 41ST CHINESE CONTROL CONFERENCE (CCC), 2022, : 908 - 912
  • [2] Collective behavior of multi-agent network dynamic systems under internal and external random perturbations
    Chandra, J.
    Ladde, G. S.
    [J]. NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS, 2010, 11 (03) : 1330 - 1344
  • [3] Collective Behavior with Heterogeneous Controllers
    Jain, Anoop
    Ghose, Debasish
    [J]. 2013 AMERICAN CONTROL CONFERENCE (ACC), 2013, : 4629 - 4634
  • [4] Behavior of agent based dynamic load balancing algorithm for heterogeneous P2P systems
    Saruladha, K.
    Santhi, G.
    [J]. ICCIMA 2007: INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND MULTIMEDIA APPLICATIONS, VOL I, PROCEEDINGS, 2007, : 109 - +
  • [5] A dynamic game model of collective choice in multi-agent systems
    20161402197575
    [J]. (1) Department of Electrical Engineering, Polytechnique Montreal, GERAD, Montreal; QC; H3T-1J4, Canada, 1600, Cybernet Systems; et al.; Kozo Keikaku Engineering (KKE); MathWorks; Mitsubishi Electric; Springer (Institute of Electrical and Electronics Engineers Inc.):
  • [6] A Dynamic Game Model of Collective Choice in Multi-Agent Systems
    Salhab, Rabih
    Malhame, Roland P.
    Le Ny, Jerome
    [J]. 2015 54TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2015, : 4444 - 4449
  • [7] Collective coordination of multi-agent systems guided by multiple leaders
    胡江平
    袁海文
    [J]. Chinese Physics B, 2009, 18 (09) : 3777 - 3782
  • [8] Collective coordination of multi-agent systems guided by multiple leaders
    Hu Jiang-Ping
    Yuan Hai-Wen
    [J]. CHINESE PHYSICS B, 2009, 18 (09) : 3777 - 3782
  • [9] Special issue on "collective behavior and control of multi-agent systems"
    Hu, Xiaoming
    Hong, Yiguang
    Bushnell, Linda
    [J]. ASIAN JOURNAL OF CONTROL, 2008, 10 (02) : 129 - 130
  • [10] Dynamic Tasks Scheduling with Multiple Priorities on Heterogeneous Computing Systems
    Tayeb, Hayfa
    Bramas, Berenger
    Faverge, Mathieu
    Guermouche, Abdou
    [J]. 2024 IEEE INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM WORKSHOPS, IPDPSW 2024, 2024, : 31 - 40