Fault estimation and consensus tracking of multi-agent systems based on intermediate estimator

被引:3
|
作者
Li, Yanzhou [1 ]
Lu, Yongkang [1 ]
Wu, Yuanqing [1 ]
机构
[1] Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Peoples R China
基金
中国国家自然科学基金;
关键词
Multi-agent systems; Consensus tacking; Intermediate estimator; Fault estimation; S FUZZY-SYSTEMS; COOPERATIVE OUTPUT REGULATION; ACCOMMODATION;
D O I
10.1016/j.ins.2023.119422
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The consensus tracking of multi-agent systems (MASs) with process and sensor faults is investigated in this paper. First, process faults are taken into account, and an intermediate estimator is designed to estimate the system states and faults. By formulating appropriate Lyapunov functions, some sufficient conditions are derived to ensure the consensus tracking of MASs. Subsequently, the obtained results are extended to the case that both process and sensor faults occur in MASs. Leveraging the estimated system states and faults, an unique control protocol is proposed to achieve the consensus tracking of MASs and effectively compensate for process faults. The obtained theoretical results are demonstrated and verified by two simulation examples.
引用
收藏
页数:15
相关论文
共 50 条
  • [1] Intermediate estimator-based bipartite tracking control for consensus of multi-agent systems
    Arumugam, Parivallal
    Rathinasamy, Sakthivel
    Lim, Yongdo
    [J]. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2022, 36 (11) : 2701 - 2715
  • [2] Intermediate Observer Based Distributed Fault Estimation for Multi-Agent Systems
    Liu, Xiu-Hua
    Han, Jian
    Wei, Xin-Jiang
    [J]. Zidonghua Xuebao/Acta Automatica Sinica, 2020, 46 (01): : 142 - 152
  • [3] Consensus Tracking of Fractional-Order Multi-Agent Systems Based on Sliding Mode Estimator
    Bai, Jing
    Wen, Guoguang
    Rahmani, Ahmed
    Yu, Yongguang
    [J]. PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016, 2016, : 7944 - 7949
  • [4] Distributed state estimator-based consensus tracking of multi-agent systems with exogenous disturbance
    Li, Yanzhou
    Wu, Yuanqing
    Ye, Yanyan
    Lu, Yongkang
    [J]. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2023, 360 (12): : 9139 - 9158
  • [5] Robust distributed tracking control for linear multi-agent systems based on distributed intermediate estimator
    Zhu, Jun-Wei
    Zhang, Wen-An
    Yu, Li
    Zhang, Dan
    [J]. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2018, 355 (01): : 31 - 53
  • [6] Intermediate observer-based distributed fault estimation for heterogeneous multi-agent systems
    Guo, Chen-Yang
    Zhang, Ke
    Jiang, Bin
    Liu, Qing-Yi
    [J]. Kongzhi yu Juece/Control and Decision, 2023, 38 (12): : 3473 - 3481
  • [7] Observer-based Adaptive Fault-tolerant Consensus Tracking of Multi-agent Systems
    Zhao, Dan
    Fu, Junjie
    [J]. 2019 CHINA-QATAR INTERNATIONAL WORKSHOP ON ARTIFICIAL INTELLIGENCE AND APPLICATIONS TO INTELLIGENT MANUFACTURING (AIAIM), 2019, : 30 - 35
  • [8] Consensus tracking algorithms with estimation for multi-agent system
    Li Haoran
    Wu Qinghe
    Djaidja, Sabir
    [J]. 2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2015, : 3808 - 3813
  • [9] Adaptive consensus estimation of multi-agent systems
    Demetriou, Michael A.
    Nestinger, Stephen S.
    [J]. 2011 50TH IEEE CONFERENCE ON DECISION AND CONTROL AND EUROPEAN CONTROL CONFERENCE (CDC-ECC), 2011, : 354 - 359
  • [10] Fault-tolerant formation control of multi-agent systems with multiple leaders based on intermediate variable estimator
    Shi, Jiantao
    Xing, Shuangqing
    Zhang, Wenli
    Liu, Anning
    Chen, Chuang
    [J]. IET CONTROL THEORY AND APPLICATIONS, 2024, : 2368 - 2378