Stability of an overparametrized model

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Authors
Cristi, Roberto
Feuer, Arie
Subjects
Recursive least squares
overparametrization
persistently exciting stabilizable
parameter convergence
Advisors
Date of Issue
1989
Date
Publisher
Elsevier
Language
Abstract
The problem of identifying an overparametrized model is addressed in this note. It is established that when a properly initiated RLS algorithm is used with a persistently exciting external input the estimated parameters are guaranteed to converge to values representing a stabilizable model.
Type
Article
Description
The article of record as published may be found at http://dx.doi.org/10.1016/0167-6911(89)90035-2
Series/Report No
Department
Electrical and Computer Engineering (ECE)
Organization
Identifiers
NPS Report Number
Sponsors
Naval Postgraduate School Direct Research
Foundation for Research in Electronics, Computers and Communications
Israeli Academy of Sciences and Humanities
Funding
Format
5 p.
Citation
Cristi, Roberto, and Arie Feuer. "Stability of an overparametrized model." Systems & control letters 13.2 (1989): 171-175.
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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