Identification of Nonlinear Systems Using Neural Networks and Polynomial Models von Andrzej Janczak | A Block-Oriented Approach | ISBN 9783540315964

Identification of Nonlinear Systems Using Neural Networks and Polynomial Models

A Block-Oriented Approach

von Andrzej Janczak
Buchcover Identification of Nonlinear Systems Using Neural Networks and Polynomial Models | Andrzej Janczak | EAN 9783540315964 | ISBN 3-540-31596-9 | ISBN 978-3-540-31596-4

Identification of Nonlinear Systems Using Neural Networks and Polynomial Models

A Block-Oriented Approach

von Andrzej 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.