Observer-based robust consensus control for multi-agent systems with noises

被引：16
|
作者：
Wang, Zhongmei [1 ]
Zhang, Huanshui [1 ]
机构：
[1] Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Shandong, Peoples R China
来源：
NEUROCOMPUTING | 2016年 / 207卷
基金：
中国国家自然科学基金;
关键词：
Multi-agent systems; Consensus error; System noise; Measurement noise; Comniunication noise; Kalman filter; DISTRIBUTED CONSENSUS;
D O I：
10.1016/j.neucom.2016.05.029
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This study deals with the problem of consensus error calculation for linear multi-agent systems (MASs) with system noises and measurement noises. It is supposed that there exist communication noises when the information exchanges among distinct agents. The agents cannot reach consensus due to the existence of the system noises. We aim to design proper distributed control protocol to calculate the consensus error for the MASs. The states of each agent and its neighbors are estimated by applying Kalman-filtering theory. The distributed control protocol is designed by employing the estimated state information. Then the consensus error is calculated via the unique solution of a Lyapunov equation. Finally, a simulation example is presented to verify the correctness of the proposed results. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码：408 / 415
页数：8
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