NDLI: Distributed Estimation for Moving Target Based on State-Consensus Strategy

Content Provider	IEEE Xplore Digital Library
Author	Zhenwei Zhou Haitao Fang Yiguang Hong
Copyright Year	1963
Abstract	This technical note studies the distributed estimation problem for a continuous-time moving target under switching interconnection topologies. A recursive distributed estimation algorithm is proposed by using state-consensus strategy, where a common gain is assigned to adjust the innovative and state-consensus information for each sensor in the network. Under mild conditions on observability and connectivity, the stability of the distributed estimation algorithm is analyzed. An upper bound and lower bound for the total mean square estimation error (TMSEE) are obtained by virtue of the common Lyapunov method and Kalman-Bucy filtering theory, respectively. Then a numerical simulation is given to verify the effectiveness of the proposed algorithm.
Sponsorship	IEEE Control Systems Society
Starting Page	2096
Ending Page	2101
Page Count	6
File Size	2020813
File Format	PDF
ISSN	00189286
Volume Number	58
Issue Number	8
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-08-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Estimation Switches Kalman filters Noise Upper bound Standards Topology switching topologies Distributed estimation Kalman-Bucy filter moving target stability
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Electrical and Electronic Engineering Computer Science Applications

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