文章基本信息

标题：Consensus-based Distributed Kalman-Bucy Filter for Continuous-time Systems
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作者：Jingbo Wu ; Jingbo Wu ; Anja Elser 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2016
卷号：49
期号：22
页码：321-326
DOI：10.1016/j.ifacol.2016.10.417
语种：English
出版社：Elsevier
摘要：Abstract: In this paper we introduce a distributed consensus-based Kalman filter for distributed state estimation of continuous-time systems. In particular, we achieve stability of the estimation error only assuming that all agents together are able to observe the system, which is in contrast to each agent possessing this property individually. The algorithm is implementable without any precomputation of filter parameters, such as coupling strength, or global knowledge about the graph.
关键词：KeywordsDistributed EstimationKalman FilterCoupled Riccati Equations