Identification of Nonlinear Systems Using Neural Networks and Polynomial Models: A Block-Oriented Approach (Lecture Notes in Control and Information Sciences, 310)

Janczak, Andrzej

ISBN 10: 3540231854 / ISBN 13: 9783540231851

Published by Springer, 2004

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Seller Inventory # I-9783540231851

Bibliographic Details

• Title: Identification of Nonlinear Systems Using Neural Networks and Polynomial Models: A Block-Oriented Approach (Lecture Notes in Control and Information Sciences, 310)
• Publisher: Springer
• Publication Date: 2004
• Language: English
• ISBN 10: 3540231854
• ISBN 13: 9783540231851
• Binding: Soft cover
• Condition: New

About this title

Synopsis

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.