Output feedback based adaptive consensus tracking for uncertain heterogeneous multi-agent systems with event-triggered communication

被引:43
|
作者
Long, Jiang [1 ]
Wang, Wei [1 ]
Wen, Changyun [2 ]
Huang, Jiangshuai [3 ]
Lu, Jinhu [1 ]
机构
[1] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China
[2] Nanyang Technol Univ, Sch Elect & Elect Engn, Nanyang Ave, Singapore 639798, Singapore
[3] Chongqing Univ, Sch Automat, Chongqing 400044, Peoples R China
基金
中国国家自然科学基金;
关键词
Adaptive control; Backstepping; Distributed consensus; Event-triggered communication; Heterogenous multi-agent systems; SYNCHRONIZATION; NETWORKS;
D O I
10.1016/j.automatica.2021.110049
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 paper, a backstepping based distributed adaptive output feedback control scheme is proposed, to achieve output consensus tracking for uncertain heterogenous linear multi-agent systems with event triggered communication and directed communication topology. To deal with the unknown system parameters while addressing the non-differentiability problem of the virtual control inputs, auxiliary systems are elaborately constructed for the agents with relative degree larger than one. Different from most of the existing results, both the system orders and the relative degree of all the agents are allowed to be nonidentical. To decrease the amount of communication, a decentralized triggering condition with time-varying triggering threshold is well designed such that continuous monitoring of neighboring states can be avoided. Besides, only the output of each agent needs be shared among neighbors, which contributes to further reduction of communication burden. It is shown that with the proposed control scheme, all the closed-loop signals are uniformly bounded and desired output consensus tracking can be achieved without Zeno behavior. Moreover, the tracking performance in the mean square sense can be improved by appropriately adjusting design parameters. Simulation results are shown to validate the effectiveness of the proposed control scheme. (C) 2021 Elsevier Ltd. All rights reserved.
引用
收藏
页数:9
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