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Ognjen kuljaca (3 resultados)

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  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2012

    3848484684 / 9783848484683

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    Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books

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    Condición: Usado - Como Nuevo

    EUR 205,78

    Envío por EUR 29,91 
    Se envía de Reino Unido a Estados Unidos de America

    Cantidad disponible: 1 disponible

    Paperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2012

    3848484684 / 9783848484683

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    Librería: moluna, Greven, Alemaniamoluna

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    Condición: Nuevo

    EUR 64,43

    Envío por EUR 48,99 
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    Cantidad disponible: Más de 20 disponibles

    Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kuljaca OgnjenOgnjen Kuljaca received his B.Sc and M.Sc. degrees from Faculty of Electrical Engineering and Computing in Zagreb, University of Zagreb in 1994 and 1998, respectively, and his Ph.D. From The University of Texas at Arlin. …

  • Idioma: Inglés

    Editorial: LAP Lambert Academic Publishing, 2012

    3848484684 / 9783848484683

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    Condición: Nuevo

    EUR 86,42

    Envío por EUR 35,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 2 disponibles

    Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The main role played by neural network and fuzzy logic intelligent control algorithms today is to identify and compensate unknown nonlinear system dynamics. There are a number of methods developed, but often the stability analysis of neural network and fuzzy control systems was not provided. This work will meet those problems for several nerual netwrok and fuzzy algorithms. Some more complicated control algorithms included backstepping and adaptive critics will be designed. Nonlinear fuzzy control with nonadaptive fuzzy controllers is also analyzed, includign elastic fuzzy control. An experimental method for determining describing function of SISO fuzzy controller is given as well. The work described in this book serves as foundation on which analysis of particular representative industrial systems will be conducted. Also, it gives a good starting point for analysis of learning abilities of adaptive and neural network control systems, as well as for the analysis of the different algorithms such as elastic fuzzy systems.…