Consensus of linear multi-agent systems via reduced-order observer

被引：11
|
作者：
Yang, Tingting [1 ]
Zhang, Pengfei [1 ]
Yu, Shuanghe [1 ]
机构：
[1] Dalian Maritime Univ, Coll Informat Sci & Technol, Dalian 116026, Peoples R China
来源：
NEUROCOMPUTING | 2017年 / 240卷
关键词：
Multi-agent system; Reduced-order observer; Consensus; Model reference consensus; Directed topology; SAMPLED-DATA CONSENSUS; COMPLEX NETWORKS; SYNCHRONIZATION; FEEDBACK; TRACKING;
D O I：
10.1016/j.neucom.2017.01.087
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper is concerned with the consensus problem for continuous time linear multi-agent systems with directed communication topology. An estimation error dynamic is proposed to design the reduced-order observer for dealing with unknown coefficient matrices. To guarantee the consensus, control protocols based on the reduced-order observer are designed to utilize the relative outputs of neighboring agents whose communication topology contains a directed spanning tree. Then the algorithms are extended to the model reference consensus case, where the case of zero control input for reference node is not assumed. Numerical examples are given to illustrate the effectiveness of proposed approaches. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码：200 / 208
页数：9
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