Adaptive Formation Control and Target Tracking in a Class of Multi-Agent Systems

被引:0
|
作者
Duran, Sabahat [1 ]
Gazi, Veysel [1 ]
机构
[1] TOBB Univ Econ & Technol, Dept Elect & Elect Engn, TR-06560 Ankara, Turkey
关键词
ARTIFICIAL POTENTIALS; NONLINEAR-SYSTEMS; COORDINATION;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this article a direct adaptive fuzzy control methodology is developed to handle formation control and target tracking problems in a class of multi-agent systems with nonlinear and uncertain dynamics. The proposed adaptive method guarantees stability and achievement of the desired tracking and formation tasks. The effectiveness of the algorithm is verified with numerical simulations.
引用
收藏
页码:75 / 80
页数:6
相关论文
共 50 条
  • [1] Adaptive Formation Control and Target Tracking in a Class of Multi-Agent Systems: Formation Maneuvers
    Gazi, Veysel
    Fidan, Baris
    [J]. 2013 13TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2013), 2013, : 78 - 85
  • [2] Multi-agent formation control and target tracking
    Xing, Jiarui
    Liu, Weifeng
    Kong, Mingxin
    [J]. 2018 INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND INFORMATION SCIENCES (ICCAIS), 2018, : 244 - 248
  • [3] Formation Control and Target Tracking for a Class of Nonlinear Multi-Agent Systems Using Neural Networks
    Aryankia, Kiarash
    Selmic, Rastko R.
    [J]. 2020 EUROPEAN CONTROL CONFERENCE (ECC 2020), 2020, : 160 - 165
  • [4] Multi-agent Formation Control with Target Tracking and Navigation
    Liu, Lebin
    Luo, Chaomin
    Shen, Furao
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION (IEEE ICIA 2017), 2017, : 98 - 103
  • [5] Cooperative adaptive fuzzy tracking control for a class of nonlinear multi-agent systems
    Baghbani, F.
    Akbarzadeh-T, M. -R.
    Sistani, M. -B. Naghibi
    [J]. 2017 JOINT 17TH WORLD CONGRESS OF INTERNATIONAL FUZZY SYSTEMS ASSOCIATION AND 9TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS (IFSA-SCIS), 2017,
  • [6] Adaptive NN consensus tracking control of a class of nonlinear multi-agent systems
    Feng, Jun
    Wen, Guo-Xing
    [J]. NEUROCOMPUTING, 2015, 151 : 288 - 295
  • [7] Adaptive fuzzy formation control for a class of uncertain nonlinear multi-agent systems
    Baghbani, F.
    Akbarzadeh-T, M. -R.
    Sistani, M. -B. Naghibi
    [J]. 2017 5TH INTERNATIONAL CONFERENCE ON CONTROL, INSTRUMENTATION, AND AUTOMATION (ICCIA), 2017, : 132 - 137
  • [8] Adaptive Internal Model Based Formation Control of a Class of Multi-Agent Systems
    Gul, Esma
    Gazi, Veysel
    [J]. 2010 AMERICAN CONTROL CONFERENCE, 2010, : 4800 - 4805
  • [9] Neuro-Adaptive Formation Control and Target Tracking for Nonlinear Multi-Agent Systems With Time-Delay
    Aryankia, Kiarash
    Selmic, Rastko R.
    [J]. IEEE CONTROL SYSTEMS LETTERS, 2021, 5 (03): : 791 - 796
  • [10] Distributed adaptive tracking consensus control for a class of heterogeneous nonlinear multi-agent systems
    Fan, Yongqing
    Zhang, Yu
    Li, Zhen
    [J]. MATHEMATICS AND COMPUTERS IN SIMULATION, 2025, 227 : 420 - 441