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Discrete-Time High Order Neural Control - Trained with Kalman Filtering (Paperback, Softcover reprint of hardcover 1st ed. 2008) Loot Price: R2,873
Discovery Miles 28 730
Discrete-Time High Order Neural Control - Trained with Kalman Filtering (Paperback, Softcover reprint of hardcover 1st ed....

Discrete-Time High Order Neural Control - Trained with Kalman Filtering (Paperback, Softcover reprint of hardcover 1st ed. 2008)

Edgar N. Sanchez, Alma Y. Alanis, Alexander G. Loukianov

Series: Studies in Computational Intelligence, 112

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Loot Price R2,873 Discovery Miles 28 730 | Repayment Terms: R269 pm x 12*

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Neural networks have become a well-established methodology as exempli?ed by their applications to identi?cation and control of general nonlinear and complex systems; the use of high order neural networks for modeling and learning has recently increased. Usingneuralnetworks, controlalgorithmscanbedevelopedtoberobustto uncertainties and modeling errors. The most used NN structures are Feedf- ward networks and Recurrent networks. The latter type o?ers a better suited tool to model and control of nonlinear systems. There exist di?erent training algorithms for neural networks, which, h- ever, normally encounter some technical problems such as local minima, slow learning, and high sensitivity to initial conditions, among others. As a viable alternative, new training algorithms, for example, those based on Kalman ?ltering, have been proposed. There already exists publications about trajectory tracking using neural networks; however, most of those works were developed for continuous-time systems. On the other hand, while extensive literature is available for linear discrete-timecontrolsystem, nonlineardiscrete-timecontroldesigntechniques have not been discussed to the same degree. Besides, discrete-time neural networks are better ?tted for real-time implementation

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Studies in Computational Intelligence, 112
Release date: November 2010
First published: 2008
Authors: Edgar N. Sanchez • Alma Y. Alanis • Alexander G. Loukianov
Dimensions: 235 x 155 x 6mm (L x W x T)
Format: Paperback
Pages: 110
Edition: Softcover reprint of hardcover 1st ed. 2008
ISBN-13: 978-3-642-09695-2
Categories: Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Statistical physics
Books > Computing & IT > Applications of computing > Artificial intelligence > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
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LSN: 3-642-09695-6
Barcode: 9783642096952

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