Bipartite Tracking Formation Control of Nonlinear Multi-Agent Systems Using Adaptive Output-Feedback Protocols

被引:1
|
作者
Liu, Lu [1 ]
Liu, Dan [1 ]
Ma, Yuhang [1 ]
Yang, Chenyu [1 ]
Zhang, Huiyu [1 ]
Yao, Bin [1 ]
Zhang, Zengxing [1 ]
Zhang, Zhidong [1 ]
Xue, Chenyang [1 ]
机构
[1] North Univ China, State Key Lab Dynam Measurement Technol, Taiyuan 030051, Peoples R China
基金
中国国家自然科学基金;
关键词
Protocols; Formation control; Adaptive control; Laplace equations; Topology; Time-varying systems; Real-time systems; Bipartite time-varying formation; leader-follower system; nonlinear dynamics; adaptive control; coopetition network; DISTRIBUTED CONSENSUS; NETWORKS; DESIGN; AGENTS; OBSERVER; VEHICLES;
D O I
10.1109/ACCESS.2022.3187743
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 proposed distributed adaptive formation control for leader-follower bipartite time-varying formation (BTVF) of a nonlinear multi-agent system (MAS). The proposed nonlinear MAS satisfies the one-sided Lipschitz-type condition. In the topological graphs with directed spanning trees, the design of adaptive protocols does not depend on the known communication topology, which can avoid the use of global information. Given limited information, the proposed MAS can achieve desired formation tracking by utilizing an observer protocol and converting the bipartite formation control problem into a stability problem of system errors. The analysis results of the systematic errors by using Lyapunov candidate functions, indicate that the MAS can be globally stable with a certain convergence rate during operation. Finally, numerical simulations are presented to confirm the validity of the proposed approach.
引用
收藏
页码:70699 / 70711
页数:13
相关论文
共 50 条
  • [1] Distributed Adaptive Bipartite Time-Varying Formation Control for Heterogeneous Unknown Nonlinear Multi-Agent Systems
    Wang, Weike
    Zhang, Wei
    Yan, Chenhang
    Fang, Yu
    IEEE ACCESS, 2021, 9 : 52698 - 52707
  • [2] Output-feedback adaptive consensus tracking control for a class of high-order nonlinear multi-agent systems
    Wang, Chenliang
    Wen, Changyun
    Wang, Wei
    Hu, Qinglei
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2017, 27 (18) : 4931 - 4948
  • [3] Adaptive Bipartite Time-Varying Output Formation Tracking of Heterogeneous Multi-Agent Systems
    Zhao, Xueqing
    Zhang, Liping
    IEEE CONTROL SYSTEMS LETTERS, 2024, 8 : 394 - 399
  • [4] Output-feedback distributed consensus for nonlinear multi-agent systems with quantization
    Zhang, Jing
    Liu, Shuai
    Zhang, Xianfu
    INFORMATION SCIENCES, 2022, 585 : 246 - 261
  • [5] Adaptive output feedback consensus tracking for linear multi-agent systems with unknown dynamics
    Sun, Junyong
    Geng, Zhiyong
    INTERNATIONAL JOURNAL OF CONTROL, 2015, 88 (09) : 1735 - 1745
  • [6] Distributed adaptive output feedback tracking control for a class of uncertain nonlinear multi-agent systems
    Wang, Gang
    Wang, Chaoli
    Yan, Yan
    Li, Lin
    Cai, Xuan
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2017, 48 (03) : 587 - 603
  • [7] A Novel Distributed Adaptive Output-Feedback Consensus Protocol for Linear Multi-Agent Systems
    Xue, Xiangming
    Wu, Fen
    PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC), 2019, : 6026 - 6031
  • [8] Adaptive Bipartite Output Consensus for Heterogeneous Multi-Agent Systems via State/Output Feedback Control
    Lu, Mengyao
    Han, Tao
    Wu, Jie
    Zhan, Xi-Sheng
    Yan, Huaicheng
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2022, 69 (08) : 3455 - 3459
  • [9] Distributed Adaptive Output Feedback Consensus Tracking for Multi-Agent Systems with Unknown Nonlinearities
    Sun Junyong
    Geng Zhiyong
    2015 34TH CHINESE CONTROL CONFERENCE (CCC), 2015, : 6866 - 6871
  • [10] Distributed adaptive consensus control of Lipschitz nonlinear multi-agent systems using output feedback
    Jameel, Atif
    Rehan, Muhammad
    Hong, Keum-Shik
    Iqbal, Naeem
    INTERNATIONAL JOURNAL OF CONTROL, 2016, 89 (11) : 2336 - 2349