Lecture Notes in Control and Information Sciences

A Block-Oriented Approach

By: Andrzej Janczak

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Paperback | 18 November 2004

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220 Pages

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22.86 x 15.24 x 1.27

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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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Introduction
Neural network Wiener models
Neural network Hammerstein models
Polynomial Wiener models
Polynomial Hammerstein models
Applications
Table of Contents provided by Publisher. All Rights Reserved.

Lecture Notes in Control and Information Sciences

A Block-Oriented Approach

At a Glance

Paperback

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