Discrete-Time High Order Neural Control

Language: English

Published by Springer, Springer Apr 2008, 2008

3540782885 / 9783540782889

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This item is printed on demand - Print on Demand Titel. Neuware -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 implementations.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 120 pp. Englisch.

Seller Inventory # 9783540782889

Title
Discrete-Time High Order Neural Control
Author
Edgar N. Sanchez
Publisher
Springer, Springer Apr 2008
Publication year
2008
Condition
Neu
Binding
Buch
Language
English
ISBN 10
3540782885
ISBN 13
9783540782889
Item weight
354 grams
Dimensions
241x160x12 mm

buchversandmimpf2000

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