Andrzej Janczak

Identification of Nonlinear Systems Using Neural Networks and Polynomial Models

A Block-Oriented Approach

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Lecture Notes in Control and Information Sciences 310
• Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
• Artikelnr. des Verlages: 11013747, 978-3-540-23185-1
• 2005
• Seitenzahl: 220
• Erscheinungstermin: 18. November 2004
• Englisch
• Abmessung: 235mm x 155mm x 13mm
• Gewicht: 344g
• ISBN-13: 9783540231851
• ISBN-10: 3540231854
• Artikelnr.: 13115688

Autorenporträt

Andrzej Janczak, University of Zielona Gora, Poland

Inhaltsangabe

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