Distributed Fast Finite-Time Tracking Consensus of Multi-Agent Systems With a Dynamic Leader

被引：16
作者：
He, Sulan [1 ,2 ]
Wang, He [1 ,2 ]
Yu, Wenwu [1 ,2 ]
机构：
[1] Southeast Univ, Frontiers Sci Ctr Mobile Informat Commun & Secur, Sch Math, Nanjing 210096, Peoples R China
[2] Purple Mt Labs, Nanjing 211111, Peoples R China
来源：
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS | 2022年 / 69卷 / 04期
基金：
中国国家自然科学基金;
关键词：
Protocols; Topology; Laplace equations; Convergence; Eigenvalues and eigenfunctions; Circuits and systems; Target tracking; Nonlinear multi-agent systems; fast finite-time consensus; adaptive control; dynamic leader; ADAPTIVE CONSENSUS; NETWORKS;
D O I：
10.1109/TCSII.2021.3125700
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Distributed fast finite-time tracking consensus (FTTC) is investigated for first-order nonlinear multi-agent systems (MASs), where the leader has an external input unknown to all followers. Based on global finite-time stability and Lyapunov stability, two distributed tracking protocols are proposed to guarantee fast FTTC. First, a basic distributed non-smooth protocol for solving this problem is proposed and analyzed. A limitation of the designed protocol is that the control gains should depend on some global information like the spectrum of Laplacian matrix. To remove this limitation, a fully distributed protocol is further designed and analyzed. Theoretical studies imply that the states of the considered MASs will also achieve fast FTTC. Finally, two simulation examples are performed on Chua's circuit system to verify the theoretical results.
引用
收藏
页码：2176 / 2180
页数：5
相关论文
共 24 条
  • [1] Finite-Time Fuzzy Adaptive Consensus for Heterogeneous Nonlinear Multi-Agent Systems
    Chen, Duxin
    Liu, Xiaolu
    Yu, Wenwu
    [J]. IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2020, 7 (04): : 3057 - 3066
  • [2] THE DOUBLE SCROLL FAMILY .1. RIGOROUS PROOF OF CHAOS
    CHUA, LO
    KOMURO, M
    MATSUMOTO, T
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS, 1986, 33 (11): : 1072 - 1097
  • [3] Finite-time convergent gradient flows with applications to network consensus
    Cortés, Jorge
    [J]. AUTOMATICA, 2006, 42 (11) : 1993 - 2000
  • [4] Goldberg M., 1987, LINEAR MULTILINEAR A, V21, P173
  • [5] Distributed Robust Fixed-Time Consensus for Nonlinear and Disturbed Multiagent Systems
    Hong, Huifen
    Yu, Wenwu
    Wen, Guanghui
    Yu, Xinghuo
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2017, 47 (07): : 1464 - 1473
  • [6] Multi-surface sliding control for fast finite-time leader-follower consensus with high order SISO uncertain nonlinear agents
    Khoo, Suiyang
    Xie, Lihua
    Zhao, Shengkui
    Man, Zhihong
    [J]. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2014, 24 (16) : 2388 - 2404
  • [7] Resilient Distributed Voltage Synchronization of CI Networks Under Denial of Service Attacks
    Lai, Jingang
    Lu, Xiaoqing
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2021, 68 (06) : 2052 - 2056
  • [8] Distributed Tracking Control for Linear Multiagent Systems With a Leader of Bounded Unknown Input
    Li, Zhongkui
    Liu, Xiangdong
    Ren, Wei
    Xie, Lihua
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2013, 58 (02) : 518 - 523
  • [9] Formation Tracking of Second-Order Multi-Agent Systems With Multiple Leaders Based on Sampled Data
    Liu, Congying
    Wu, Xiaoqun
    Mao, Bing
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2021, 68 (01) : 331 - 335
  • [10] Finite-time adaptive consensus of a class of multi-agent systems
    Liu KeXin
    Wu LuLu
    Lu JinHu
    Zhu HengHui
    [J]. SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2016, 59 (01) : 22 - 32
123