DocumentCode
303077
Title
Persistency of excitation of identification with N-D sampling neural networks
Author
Dzielinski, A. ; Zbikowski, R. ; Kaczorek, T.
Author_Institution
Dept. of Mech. Eng., Glasgow Univ., UK
Volume
1
fYear
1996
fDate
17-20 Jun 1996
Firstpage
121
Abstract
In this paper, persistency of excitation of a novel method of discrete-time NARMA control models identification is presented. It is proved that this can be restated as an invertibility problem for a Vandermonde type transformation matrix. A necessary and sufficient condition for the matrix invertibility is given. Consequences for neural network modelling of nonlinear control systems are highlighted
Keywords
control system analysis; discrete time systems; matrix algebra; neural nets; nonlinear control systems; state estimation; N-D sampling neural networks; Vandermonde type transformation matrix; control simulation; discrete-time NARMA control models identification; excitation persistency; invertibility problem; neural network modelling; nonlinear control systems; Fourier transforms; Neural networks; Nonuniform sampling; Sampling methods; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics, 1996. ISIE '96., Proceedings of the IEEE International Symposium on
Conference_Location
Warsaw
Print_ISBN
0-7803-3334-9
Type
conf
DOI
10.1109/ISIE.1996.548403
Filename
548403
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