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A Parametrization for the closed-loop identification of nonlinear time-varying systems

โœ Scribed by Soura Dasgupta; Brian D.O. Anderson

Publisher
Elsevier Science
Year
1996
Tongue
English
Weight
993 KB
Volume
32
Category
Article
ISSN
0005-1098

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โœฆ Synopsis

We convert the closed-loop identification of nonlinear time-varying plants, with high signal-to-noise ratio, to an open-loop identification problem of an associated Youla-Kucera

parameter. The plant must be stabilizable by a known linear, possibly time-varying controller.

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A novel procedure is developed for the identi"cation of linear discrete models of dynamical systems from noisy data. Of particular interest is the application of the methodology to time-varying systems. The procedure is based on a representation of the governing di!erential equations with respect to