NDLI: A unified framework for mean square stability of Kalman filters with intermittent observations

Content Provider	IEEE Xplore Digital Library
Author	Rohr, E. Marelli, D. Minyue Fu
Copyright Year	2011
Description	Author affiliation: School of Electrical Engineering and Computer Science, University of Newcastle, University Drive, Callaghan NSW 2308, Australia (Rohr, E.; Marelli, D.; Minyue Fu)
Abstract	This paper presents a unified framework for analysis of the stability of the expected error covariance (EEC) of Kalman filters subject to intermittent observations. A brief literature review summarizing some of the most important results in the area is provided. We state a method in the most general form, making no assumptions on the network model and only minor assumptions on the system. Then, as we adopt particular network models and assume some particular system structures, we recover most of the known results in the literature, which can be seen as a special case of our approach. Tight necessary and sufficient conditions for the EEC to be bounded are given for most cases, except for general degenerate systems, where only sufficient conditions are given in a closed form.
Starting Page	177
Ending Page	182
File Size	124554
Page Count	6
File Format	PDF
ISBN	9781457714757
ISSN	19483449
e-ISBN	9781457714764
DOI	10.1109/ICCA.2011.6138071
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-19
Publisher Place	Chile
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Kalman filters Eigenvalues and eigenfunctions Loss measurement Vectors Time measurement Stability analysis Computational modeling
Content Type	Text
Resource Type	Article

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