Time-varying group formation tracking control for uncertain nonlinear high-order fully actuated multiagent systems

被引:1
作者
Tan, Chong [1 ]
Zhang, Teng [1 ]
Li, Yanjiang [1 ]
Liu, Guo-Ping [2 ]
机构
[1] Harbin Univ Sci & Technol, Sch Automat, Harbin 150080, Peoples R China
[2] Southern Univ Sci & Technol, Ctr Control Sci & Technol, Shenzhen 518055, Peoples R China
基金
黑龙江省自然科学基金;
关键词
Nonlinear multiagent systems; Time-varying group formation tracking; High-order fully actuated systems; Robust control; Adaptive control; COMMUNICATION DELAYS; PREDICTIVE CONTROL; COORDINATION; SUBJECT;
D O I
10.1007/s11071-024-10327-1
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
The issue of time-varying group formation tracking (TVGFT) control for heterogeneous nonlinear multiagent systems (MASs) with unknown dynamics is studied in the framework of high-order fully actuated system approaches. To achieve the desired TVGFT, two kinds of distributed control protocols are designed, which rely on robust and adaptive control strategies, respectively. The protocols consist of two components: The first is that the nonlinearities of MASs are eliminated by state feedback and the poles are configured in the light of performance requirements; the second is that robust or adaptive control strategy is employed to compensate for uncertainties, depending on the characteristics of the uncertain dynamics. Based on Lyapunov stability theory, the sufficient conditions to achieve TVGFT under two proposed control protocols are provided and proved, and the decay rates of TVGFT error associated with these protocols are further analyzed. Besides, each agent can possess an equivalent status and play the role of either a leader or a follower according to the actual need, and a general procedure is given to label the agents. Simulation results illustrate the effectiveness of theoretical results.
引用
收藏
页码:2293 / 2314
页数:22
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  • [21] Observer-based adaptive time-varying group formation tracking control for nonlinear second-order multi-agent systems
    Li, Jiacheng
    Xiao, Bo
    Han, Tao
    Yang, Qingsheng
    Yan, Huaicheng
    [J]. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2023, 37 (06) : 1410 - 1422
  • [22] Distributed time-varying group formation control for generic linear systems with observer-based protocols
    Li, Man
    Ma, Qichao
    Zhou, Chongjian
    Qin, Jiahu
    Kang, Yu
    [J]. NEUROCOMPUTING, 2020, 397 : 244 - 252
  • [23] Formation Control of Multiagent Networks: Cooperative and Antagonistic Interactions
    Li, Zhen
    Tang, Yang
    Huang, Tingwen
    Wen, Shiping
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 52 (05): : 2809 - 2818
  • [24] Coordination of Networked Nonlinear Multi-Agents Using a High-Order Fully Actuated Predictive Control Strategy
    Liu, Guo-Ping
    [J]. IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2022, 9 (04) : 615 - 623
  • [25] Robust Formation Control for Multiple Quadrotors With Nonlinearities and Disturbances
    Liu, Hao
    Ma, Teng
    Lewis, Frank L.
    Wan, Yan
    [J]. IEEE TRANSACTIONS ON CYBERNETICS, 2020, 50 (04) : 1362 - 1371
  • [26] Robust time-varying formation control for multiple underwater vehicles subject to nonlinearities and uncertainties
    Liu, Hao
    Lyu, Yafei
    Lewis, Frank L.
    Wan, Yan
    [J]. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2019, 29 (09) : 2712 - 2724
  • [27] High-order command filtered adaptive backstepping control for second- and high-order fully actuated strict-feedback systems
    Liu, Weizhen
    Duan, Guangren
    Hou, Mingzhe
    [J]. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2023, 360 (06): : 3989 - 4015
  • [28] Adaptive fault-tolerant control for nonlinear high-order fully-actuated systems
    Liu, Xueqing
    Chen, Maoyin
    Sheng, Li
    Zhou, Donghua
    [J]. NEUROCOMPUTING, 2022, 495 : 75 - 85
  • [29] Time-varying group formation-tracking control for general linear multi-agent systems with switching topologies and unknown input
    Lu, Yizhou
    Dong, Xiwang
    Li, Qingdong
    Lv, Jinhu
    Ren, Zhang
    [J]. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2022, 32 (04) : 1925 - 1940
  • [30] Adaptive Event-Triggered Control for Uncertain High-Order Fully Actuated System
    Meng, Rui
    Hua, Changchun
    Li, Kuo
    Ning, Pengju
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2022, 69 (11) : 4438 - 4442