NDLI: Stability of distributed LMS under cooperative stochastic excitation

Content Provider	IEEE Xplore Digital Library
Author	Siyu Xie Lei Guo
Copyright Year	2015
Description	Author affiliation: Key Lab. of Syst. & Control, Beijing, China (Siyu Xie; Lei Guo)
Abstract	Distributed estimation algorithms can estimate a dynamic process of interest by a set of estimators cooperatively, when any individual estimator cannot. The paper considers this kind of problems and focuses on a class of distributed least mean-square(LMS) algorithms in discrete time. Stability analysis will be provided under a weakest possible cooperative stochastic excitation condition. We remark that the stringent conditions such as independency and stationarity that have been used in almost all the existing literatures are no longer used in this paper. In addition, a simulation result comparing with the non-cooperative LMS algorithm will be provided to show the advantage of the distributed LMS algorithm studied in the paper.
Starting Page	7445
Ending Page	7450
File Size	172932
Page Count	6
File Format	PDF
ISBN	9789881563897
ISSN	19341768
DOI	10.1109/ChiCC.2015.7260820
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Technical Committee on Control Theory, Chinese Association of Automation
Subject Keyword	Algorithm design and analysis Least squares approximations Estimation Cooperative stochastic excitation Eigenvalues and eigenfunctions Stability analysis Sensors Distributed LMS algorithm Manganese Lp-exponentially stability
Content Type	Text
Resource Type	Article

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