Adaptive Time-Varying Formation Control for High-Order LTI Multi-agent Systems

被引:0
|
作者
Wang Rui [1 ]
Dong Xiwang [1 ]
Li Qingdong [1 ]
Zhao Qilun [1 ]
Ren Zhang [1 ]
机构
[1] Beihang Univ, Sch Automat Sci & Elect Engn, Sci & Technol Aircraft Control Lab, Beijing 100191, Peoples R China
关键词
Time-varying Formation Control; Distributed Adaptive Protocol; Multi-agent Systems; High-order Dynamics; COOPERATIVE CONTROL; MOBILE ROBOTS; CONSENSUS; NETWORKS; ALGORITHMS; VEHICLES; AGENTS;
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 paper, distributed time-varying formation control problems for general high-order linear time invariant (LTI) multi-agent systems are studied using an adaptive based approach. Firstly, constructed by the states of neighboring agents, a time-varying formation control protocol is proposed, where the adaptive gain scheduling technique is employed to adjusting the coupling weights between neighboring agents. Secondly, an algorithm with two steps is presented to design the distributed adaptive formation control protocol, where a description of the feasible time-varying formation set is given. In contrast to the existing results on formation control, no global information about the interaction topologies is required. Then, the stability of the algorithm is proved using the Lyapunov theory. If the predefined time-varying formation belongs to the feasible formation set, time-varying formation is shown to be achieved by general high-order LTI multi-agent systems using the distributed adaptive formation protocol designed in the proposed algorithm. Finally, a numerical example is given to demonstrate the effectiveness of the theoretical results.
引用
收藏
页码:6998 / 7003
页数:6
相关论文
共 50 条
  • [31] Formation Tracking Control of Second-Order Multi-Agent Systems With Time-Varying Delay
    Li, Tao
    Li, Zhipeng
    Zhang, Haitao
    Fei, Shumin
    JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 2018, 140 (11):
  • [32] Formation Tracking Control for Second-order Multi-agent Systems with Time-varying Delays
    Han, Liang
    Dong, Xiwang
    Li, Qingdong
    Ren, Zhang
    PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016, 2016, : 7902 - 7907
  • [33] High-order bipartite containment control in multi-agent systems over time-varying cooperation-competition networks
    Meng, Xianqing
    Gao, Hai
    NEUROCOMPUTING, 2019, 359 : 509 - 516
  • [34] L2 - L∞ CONSENSUS CONTROL FOR HIGH-ORDER MULTI-AGENT SYSTEMS WITH NONUNIFORM TIME-VARYING DELAYS
    Cui, Yan
    ASIAN JOURNAL OF CONTROL, 2014, 16 (06) : 1751 - 1759
  • [35] Decentralized adaptive control for time-varying formation tracking of multi-agent system
    Hu, Jinglin
    Sun, Xiuxia
    He, Lei
    PROCEEDINGS OF 2018 5TH IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTELLIGENCE SYSTEMS (CCIS), 2018, : 17 - 22
  • [36] Distributed leader-tracking adaptive control for high-order nonlinear Lipschitz multi-agent systems with multiple time-varying communication delays
    Fiengo, Giovanni
    Lui, Dario Giuseppe
    Petrillo, Alberto
    Santini, Stefania
    INTERNATIONAL JOURNAL OF CONTROL, 2021, 94 (07) : 1880 - 1892
  • [37] Output Feedback Consensus for High-order Stochastic Multi-agent Systems With Unknown Time-varying Delays
    Wen, Baoyu
    Huang, Jiangshuai
    INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2024, 22 (09) : 2823 - 2832
  • [38] Practical time-varying output formation tracking for high-order nonlinear strict-feedback multi-agent systems with control gap using adaptive neural networks
    Yu, Jianglong
    Dong, Xiwang
    Li, Qingdong
    Ren, Zhang
    2019 IEEE 15TH INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION (ICCA), 2019, : 1551 - 1556
  • [39] Time-varying anti-disturbance formation control for high-order non-linear multi-agent systems with switching directed topologies
    Dong, Chaoyang
    Zhang, Wenqiang
    Wang, Qing
    Liu, Yu'ang
    IET CONTROL THEORY AND APPLICATIONS, 2020, 14 (02): : 271 - 282
  • [40] Adaptive Containment Control for Fractional-Order Nonlinear Multi-Agent Systems With Time-Varying Parameters
    Yang Liu
    Huaguang Zhang
    Yingchun Wang
    Hongjing Liang
    IEEE/CAA Journal of Automatica Sinica, 2022, 9 (09) : 1627 - 1638