Robust leader-following consensus control of one-sided Lipschitz multi-agent systems over heterogeneous matching uncertainties

被引:3
|
作者
Khalid, Muhammad Ahmed [1 ]
Rehan, Muhammad [1 ]
Tahir, Fatima [1 ]
Hussain, Muntazir [2 ]
机构
[1] Pakistan Inst Engn & Appl Sci PIEAS, Dept Elect Engn, Islamabad, Pakistan
[2] Air Univ, Dept Elect & Comp Engn, Islamabad 44000, Pakistan
来源
关键词
Nonlinear multi-agents; One-sided Lipschitz function; Consensus control; Heterogeneous uncertainties; Robustness; OBSERVER-BASED CONTROL; NONLINEAR-SYSTEMS; BIPARTITE SYNCHRONIZATION; ANTAGONISTIC INTERACTIONS; NETWORKS; FEEDBACK;
D O I
10.1016/j.rico.2022.100151
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper presents a novel consensus control methodology for the multi -agent systems (MASs) with one-sided Lipschitz (OSL) nonlinearities under heterogeneous matching uncertainties, nonzero input to the leader, and external perturbations. A leader -following consensus control scheme is considered, and a control law is provided to assure that the followers track the leader successfully to deal with the uncertainties. The present work considers heterogeneous matching uncertainties, and a new approach with different Lyapunov function, rather than using Laplacian matrix term in the Lyapunov function, has been considered for complete elimination of the uncertainties. The proposed strategy is extended to the case where exogenous disturbances are also acting (to deal with un-matching uncertainties) on the nonlinear dynamics, and a robust consensus control approach is revealed. To overcome the chattering problem, a continuoustime consensus control law is also presented to guarantee the convergence of the consensus error to a small bounded set in the presence of external disturbance. To the best of the authors' knowledge, consensus control of a generalized form of OSL agents for the complete elimination of heterogeneous matching uncertainties and for considering non -zero input to the leader has been explored for the first time. The developed treatment is different from the conventional methods on the linear or Lipschitz nonlinear multi -agents under heterogeneous uncertainties. Finally, an application of the proposed methods to moving agents is furnished to illustrate the strength of the resultant consensualization protocol.
引用
收藏
页数:13
相关论文
共 50 条
  • [31] Robust Observer-Based Leader-Following Consensus for Multi-Agent Systems
    Vazquez Trejo, Jesus Avelino
    Adam-Medina, Manuel
    Vazquez, Juan A.
    Garcia, C. D.
    Garcia, J.
    IEEE LATIN AMERICA TRANSACTIONS, 2021, 19 (11) : 1949 - 1958
  • [32] Leader-Following Output Formation Control of Heterogeneous Multi-Agent Systems
    Wang, Jian
    Shi, Liangren
    2019 CHINESE AUTOMATION CONGRESS (CAC2019), 2019, : 2689 - 2694
  • [33] Distributed asynchronous impulsive consensus of one-sided Lipschitz nonlinear multi-agent systems
    Ma, Tiedong
    Zhang, Zhengle
    Cui, Bing
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2021, 31 (18) : 9094 - 9108
  • [34] Distributed Robust Leaderless Consensus of Lipschitz Nonlinear Multi-agent Systems with Matching Uncertainties
    Li, Zhongkui
    Zhao, Yu
    Duan, Zhisheng
    26TH CHINESE CONTROL AND DECISION CONFERENCE (2014 CCDC), 2014, : 858 - 863
  • [35] DISTRIBUTED ROBUST CONSENSUS OF A CLASS OF LIPSCHITZ NONLINEAR MULTI-AGENT SYSTEMS WITH MATCHING UNCERTAINTIES
    Li, Zhongkui
    Zhao, Yu
    Duan, Zhisheng
    ASIAN JOURNAL OF CONTROL, 2015, 17 (01) : 3 - 13
  • [36] Distributed Adaptive Consensus Control of One-Sided Lipschitz Nonlinear Multi-agent Systems with Directed Graphs
    Chen, Bao
    Wang, ZiYi
    Chen, Hu
    Bai, Hua
    2022 34TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC, 2022, : 4110 - 4115
  • [37] Distributed Leader-following Consensus Control of High-order Multi-agent Systems with Parameter Uncertainties
    Liu, Xue-liang
    Zhang, Zhi
    INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION (ICCA 2016), 2016, : 130 - 137
  • [38] Leader-following consensus of linear multi-agent systems with strict negative imaginary uncertainties
    Yan, Kai
    Song, Zhuoyue
    PROCEEDINGS OF THE 33RD CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2021), 2021, : 84 - 89
  • [39] Robust Adaptive Leader-following Control of a Class of Multi-agent Systems
    Tang, Hao
    Wu, Ya-Jun
    Jin, Xiao-Zheng
    PROCEEDINGS OF THE 32ND 2020 CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2020), 2020, : 2967 - 2972
  • [40] A Novel Leader-following Consensus of Multi-agent Systems with Smart Leader
    Fu-Yong Wang
    Zhong-Xin Liu
    Zeng-Qiang Chen
    International Journal of Control, Automation and Systems, 2018, 16 : 1483 - 1492