NDLI: Recursive identification ofwiener systems with general inputs

Content Provider	IEEE Xplore Digital Library
Author	Fang Haitao Jiang Yueping
Copyright Year	2008
Description	Author affiliation: Key Lab. of Syst. & Control, Chinese Acad. of Sci., Beijing (Fang Haitao; Jiang Yueping)
Abstract	The paper concerns the identification of Wiener system consisting of a linear subsystem followed by a static nonlinearity. Based on integration by parts and Fourier transform, we give two recursive algorithms for estimating the coefficients of the linear subsystem with random inputs with possibly non-Gaussian distribution. The algorithm proposed in the paper includes the one given in Hu and Chen [2005] as a special case for the single-input single-output (SISO) systems, while for the multi-input multi-output (MIMO) systems it works in the case where there is no priori structural assumption made on nonlinearity. Two numerical examples are given to justify the theoretical analysis.
Starting Page	364
Ending Page	369
File Size	220579
Page Count	6
File Format	PDF
ISBN	9787900719706
DOI	10.1109/CHICC.2008.4605640
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute Of Intelligence M&C Technical Of KMUST
Subject Keyword	Algorithm design and analysis Wiener system Computer aided software engineering Fourier methods Multi-input multi-output Ear Approximation algorithms MIMO Vectors Recursive estimate Single-input single-output Convergence
Content Type	Text
Resource Type	Article

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