Adaptive observer protocol designs for consensus tracking of multi-agent systems

被引:5
|
作者
Chu, Hongjun [1 ,2 ]
Gorbachev, Sergey [3 ]
Yue, Dong [1 ]
Dou, Chunxia [1 ]
Ge, Yuan [4 ]
机构
[1] Nanjing Univ Posts & Telecommun, Inst Adv Technol Carbon Neutral, Nanjing 210023, Peoples R China
[2] Minist Educ, Key Lab Syst Control & Informat Proc, Shanghai, Peoples R China
[3] Chongqing Univ Educ, Sch Artificial Intelligence, Chongqing 400065, Peoples R China
[4] Anhui Polytech Univ, Hefei, Anhui, Peoples R China
来源
IET CONTROL THEORY AND APPLICATIONS | 2022年 / 16卷 / 13期
基金
国家重点研发计划; 美国国家科学基金会;
关键词
DISTRIBUTED CONSENSUS; LEADER;
D O I
10.1049/cth2.12298
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 brief, a type of novel fully distributed adaptive protocols is designed for achieving leader-follower multi-agents tracking. The design procedure constitutes three steps. First, a local observer is constructed for each agent (including the leader) in virtue of its own inputs and outputs, aiming to estimating of that agent's state. Second, to propagate the estimate of the leader from target followers to all the followers, a distributed adaptive estimator is then proposed, via embedding with time-varying coupling weights. At last, an elegant controller is designed for each follower based on the estimate of its own state and the estimate of the leader's state. The rigorous convergence analysis is provided. Finally, the simulation results validate the effectiveness of the proposed protocols.
引用
收藏
页码:1373 / 1381
页数:9
相关论文
共 50 条
  • [1] Dissipative Consensus Tracking of Fuzzy Multi-Agent Systems Via Adaptive Protocol
    Li, Qinsheng
    Yu, Jiafeng
    Xing, Wen
    Wang, Jian
    Shi, Yan
    [J]. IEEE ACCESS, 2020, 8 : 200915 - 200922
  • [2] Consensus tracking for multi-agent systems with directed graph via distributed adaptive protocol
    Chu, Hongjun
    Cai, Yunze
    Zhang, Weidong
    [J]. NEUROCOMPUTING, 2015, 166 : 8 - 13
  • [3] Observer-based adaptive consensus tracking for linear multi-agent systems with input saturation
    Chu, Hongjun
    Yuan, Jingqi
    Zhang, Weidong
    [J]. IET CONTROL THEORY AND APPLICATIONS, 2015, 9 (14): : 2124 - 2131
  • [4] 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
  • [5] Adaptive output consensus tracking of uncertain multi-agent systems
    Zhang, Wenlin
    Wang, Zheng
    [J]. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2015, 46 (13) : 2367 - 2379
  • [6] Adaptive Output Consensus Tracking of Uncertain Multi-agent Systems
    Wang, Zheng
    Zhang, Wenlin
    Guo, Yi
    [J]. 2011 AMERICAN CONTROL CONFERENCE, 2011, : 3387 - 3392
  • [7] Observer-based adaptive consensus tracking control for nonlinear multi-agent systems with actuator hysteresis
    Wang, Junwei
    Chen, Kairui
    Liu, Qiuli
    Ma, Qinghua
    [J]. NONLINEAR DYNAMICS, 2019, 95 (03) : 2181 - 2195
  • [8] Observer-based adaptive consensus tracking control for nonlinear multi-agent systems with actuator hysteresis
    Junwei Wang
    Kairui Chen
    Qiuli Liu
    Qinghua Ma
    [J]. Nonlinear Dynamics, 2019, 95 : 2181 - 2195
  • [9] Consensus of adaptive multi-agent systems
    Yoon, Myung-Gon
    [J]. SYSTEMS & CONTROL LETTERS, 2017, 102 : 9 - 14
  • [10] Distributed observer-based consensus protocol for descriptor multi-agent systems
    Chen, Wenhai
    Gao, Lixin
    Xu, Xiaole
    Cui, Jia
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2015, 229 (10) : 927 - 938