Identification of Nonlinear Systems Using Neural Networks and Polynomial Models
A Block-Oriented Approach
Series: Lecture Notes in Control and Information Sciences; 310;
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Product details:
- Edition number 2005
- Publisher Springer Berlin Heidelberg
- Date of Publication 18 November 2004
- Number of Volumes 1 pieces, Book
- ISBN 9783540231851
- Binding Paperback
- No. of pages199 pages
- Size 235x155 mm
- Weight 700 g
- Language English
- Illustrations XIV, 199 p. 0
Categories
Long description:
"
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.
" MoreTable of Contents:
Introduction.- Neural network Wiener models.- Neural network Hammerstein models.- Polynomial Wiener models.- Polynomial Hammerstein models.- Applications.
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