E Book

Identification of Nonlinear Systems Using Neural Networks and Polynomial Models

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

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Informasi Detail

Judul Seri

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No. Panggil

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Penerbit

Berlin, Heidelberg : Springer., 2005

Deskripsi Fisik

XIV, 199 p.online resource.

Bahasa

English

ISBN/ISSN

9783540315964

Klasifikasi

629.8

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

1st ed.

Subjek

Control engineering.
Robotics.
Mechatronics.
Control, Robotics, Mechatronics.
Statistical physics.
Dynamical systems.
Complex Systems.
Statistical Physics and Dynamical Systems.
Vibration.
Dynamics.
Vibration, Dynamical Systems, Control.
System theory.
Systems Theory, Control.

Info Detail Spesifik

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Pernyataan Tanggungjawab

Andrzej Janczak.

Versi lain/terkait

Lampiran Berkas

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