标题:Distributed Constrained Consensus with Distance-dependent Measurement Noises
作者:Qiu, Zhirong; Liu, Shuai; Xie, Lihua
作者机构:[Qiu, Zhirong; Liu, Shuai; Xie, Lihua] Nanyang Technol Univ, Sch EEE, Singapore 639798, Singapore.; [Liu, Shuai] Shandong Univ, Sch Control Sci & En 更多
会议名称:6th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NECSYS)
会议日期:SEP 08-09, 2016
来源:IFAC PAPERSONLINE
出版年:2016
卷:49
期:22
页码:234-239
DOI:10.1016/j.ifacol.2016.10.402
摘要:In this paper, we study a distributed constrained consensus problem for multi-agent systems in the presence of distance-dependent noises. Given a convex set constraint which can only be accessed by part of agents, all agents are required to achieve state agreement within the set by relative state measurements of their neighbors. These measurements are corrupted by noises whose intensities are proportional to the relative distance. Based on weighted averaging and projection, a two-step update scheme is proposed to achieve the mean square consensus within the constraint set. We show that the stochastic constrained consensus in the mean square sense can be achieved in two different cases, namely a switching and balanced multi-agent network which frequently contains a joint spanning tree and connects to the constraint set (considered as a virtual node), and a fixed and strongly connected network with at least one agent that can access the convex constraint. (C) 2016, (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
收录类别:CPCI-S;CPCI-SSH;EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84994097023&doi=10.1016%2fj.ifacol.2016.10.402&partnerID=40&md5=a1b9d379a627bd703101b771bb3fff5d
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