NDLI: Mode-Set Adaptation in Multiple-Model Estimators for Hybrid Systems

Content Provider	IEEE Xplore Digital Library
Author	Li, X. Rong Bar-Shakm, Yaakov
Copyright Year	1992
Description	Author affiliation: University of Connecticut, Department of Electrical & Systems Engineering, Storrs, CT 06269-3157 (Li, X. Rong; Bar-Shakm, Yaakov)
Abstract	In view of the numerous recent applications of multiple-model estimation algorithms, the choice of the set of models is a major issue. Often, for practical problems an algorithm using a fixed set of small number of models can not yield accurate results. Apart from the increase in computation, use of more models does not guarantee better performance - actually, it may yield even poorer results. To solve this problem, this paper introduces the concept of variable structure, i.e., adaptation of model set, and proposes several variable structure algorithms, as contrasted to the existing efforts of developing better implementable versions of the optimal estimator which uses a fixed set of models. The optimal variable structure estimator is derived and it is shown that the estimator usually considered to be the optimal is only the best within the fixed structure class. Three recursive algorithms are presented in a new framework based on graph theory. The superiority of the new approach is illustrated in numerical examples of a nonstationary noise identification problem.
Starting Page	1794
Ending Page	1799
File Size	651836
Page Count	6
File Format	PDF
ISBN	0780302109
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1992-06-24
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Tin Recursive estimation State estimation Chromium IEL Time measurement Content addressable storage
Content Type	Text
Resource Type	Article

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