ISBN: 9780792375975 - stable adaptive neural network control: 13 (the international series on asian studies in computer and information science, 13) (9 resultados)

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  • Idioma: Inglés

    Editorial: Springer US, 2001

    0792375971 / 9780792375975

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    Librería: moluna, Greven, Alemaniamoluna

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    Idioma: Inglés

    Editorial: Springer US, 2001

    0792375971 / 9780792375975

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    Librería: preigu, Osnabrück, Alemaniapreigu

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    EUR 182,55

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    Buch. Condición: Neu. Stable Adaptive Neural Network Control | S. S. Ge (u. a.) | Buch | xvi | Englisch | 2001 | Springer US | EAN 9780792375975 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

  • Idioma: Inglés

    Editorial: Springer, 2001

    0792375971 / 9780792375975

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    Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections

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    EUR 256,03

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    Condición: New. In English.

  • Idioma: Inglés

    Editorial: Springer, 2001

    0792375971 / 9780792375975

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

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    EUR 241,76

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    Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Recent years have seen a rapid development of neural network control tech niques and their successful applications. Numerous simulation studies and actual industrial implementations show that artificial neural network is a good candidate for function approximation and control system design in solving the control problems of complex nonlinear systems in the presence of different kinds of uncertainties. Many control approaches/methods, reporting inventions and control applications within the fields of adaptive control, neural control and fuzzy systems, have been published in various books, journals and conference proceedings. In spite of these remarkable advances in neural control field, due to the complexity of nonlinear systems, the present research on adaptive neural control is still focused on the development of fundamental methodologies. From a theoretical viewpoint, there is, in general, lack of a firmly mathematical basis in stability, robustness, and performance analysis of neural network adaptive control systems. This book is motivated by the need for systematic design approaches for stable adaptive control using approximation-based techniques. The main objec tives of the book are to develop stable adaptive neural control strategies, and to perform transient performance analysis of the resulted neural control systems analytically. Other linear-in-the-parameter function approximators can replace the linear-in-the-parameter neural networks in the controllers presented in the book without any difficulty, which include polynomials, splines, fuzzy systems, wavelet networks, among others. Stability is one of the most important issues being concerned if an adaptive neural network controller is to be used in practical applications.…

  • Idioma: Inglés

    Editorial: Springer, 2001

    0792375971 / 9780792375975

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    Librería: Books Puddle, Woodside, NY, Estados Unidos de AmericaBooks Puddle

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    Condición: Nuevo

    EUR 307,45

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    Cantidad disponible: 4 disponibles

    Condición: New. pp. 304.

  • Idioma: Inglés

    Editorial: Springer US, Springer New York Nov 2001, 2001

    0792375971 / 9780792375975

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    Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

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    Condición: Nuevo

    EUR 213,99

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    Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Recent years have seen a rapid development of neural network control tech niques and their successful applications. Numerous simulation studies and actual industrial implementations show that artificial neural network is a good candidate for function approximation and control system design in solving the control problems of complex nonlinear systems in the presence of different kinds of uncertainties. Many control approaches/methods, reporting inventions and control applications within the fields of adaptive control, neural control and fuzzy systems, have been published in various books, journals and conference proceedings. In spite of these remarkable advances in neural control field, due to the complexity of nonlinear systems, the present research on adaptive neural control is still focused on the development of fundamental methodologies. From a theoretical viewpoint, there is, in general, lack of a firmly mathematical basis in stability, robustness, and performance analysis of neural network adaptive control systems. This book is motivated by the need for systematic design approaches for stable adaptive control using approximation-based techniques. The main objec tives of the book are to develop stable adaptive neural control strategies, and to perform transient performance analysis of the resulted neural control systems analytically. Other linear-in-the-parameter function approximators can replace the linear-in-the-parameter neural networks in the controllers presented in the book without any difficulty, which include polynomials, splines, fuzzy systems, wavelet networks, among others. Stability is one of the most important issues being concerned if an adaptive neural network controller is to be used in practical applications.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 302 pp. Englisch.…

  • Idioma: Inglés

    Editorial: Springer Nov 2001, 2001

    0792375971 / 9780792375975

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    Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

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    EUR 255,73

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    Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Recent years have seen a rapid development of neural network control tech niques and their successful applications. Numerous simulation studies and actual industrial implementations show that artificial neural network is a good candidate for function approximation and control system design in solving the control problems of complex nonlinear systems in the presence of different kinds of uncertainties. Many control approaches/methods, reporting inventions and control applications within the fields of adaptive control, neural control and fuzzy systems, have been published in various books, journals and conference proceedings. In spite of these remarkable advances in neural control field, due to the complexity of nonlinear systems, the present research on adaptive neural control is still focused on the development of fundamental methodologies. From a theoretical viewpoint, there is, in general, lack of a firmly mathematical basis in stability, robustness, and performance analysis of neural network adaptive control systems. This book is motivated by the need for systematic design approaches for stable adaptive control using approximation-based techniques. The main objec tives of the book are to develop stable adaptive neural control strategies, and to perform transient performance analysis of the resulted neural control systems analytically. Other linear-in-the-parameter function approximators can replace the linear-in-the-parameter neural networks in the controllers presented in the book without any difficulty, which include polynomials, splines, fuzzy systems, wavelet networks, among others. Stability is one of the most important issues being concerned if an adaptive neural network controller is to be used in practical applications. 302 pp. Englisch.…

  • Idioma: Inglés

    Editorial: Springer, 2001

    0792375971 / 9780792375975

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    Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books

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    Condición: Nuevo

    EUR 327,23

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    Condición: New. Print on Demand pp. 304 Illus.

  • Idioma: Inglés

    Editorial: Springer, 2001

    0792375971 / 9780792375975

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    Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios

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    EUR 327,82

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    Condición: New. PRINT ON DEMAND pp. 304.