Lecture Notes in Control and Information Sciences: A Block-Oriented Approach

Janczak, Andrzej

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.

Details

Published by: Springer

Publication Date: 2004-11-18

Format: Paperback

ISBN-13: 9783540231851

DOI: 10.1007/b98334

Dimensions: 235cm x155cm

Pages: 199