Identification of nonlinear systems using neural networks and polynomial models : a block-oriented approach

A. Janczak

This monograph systematically presents the existing identification methods of nonlinear systems using the block-oriented approach It surveys various known approaches to the identification of Wiener and Hammerstein systems which are applicable to both neural network and polynomial models. The book gives a comparative study of their gradient approximation accuracy, computational complexity, and convergence rates and furthermore presents some new and original methods concerning the model parameter adjusting with gradient-based techniques. "Identification of Nonlinear Systems Using Neural Networks and Polynomal Models" is useful for researchers, engineers and graduate students in nonlinear systems and neural network theory.

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[目次]

  • Introduction.- Neural network Wiener models.- Neural network Hammerstein models.- Polynomial Wiener models.- Polynomial Hammerstein models.- Applications.

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この本の情報

書名 Identification of nonlinear systems using neural networks and polynomial models : a block-oriented approach
著作者等 Janczak, A.
Janczak Andrzej
シリーズ名 Lecture notes in control and information sciences
出版元 Springer
刊行年月 c2005
ページ数 xiv, 197 p.
大きさ 24 cm
ISBN 3540231854
NCID BA70065489
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言語 英語
出版国 ドイツ
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