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Muhammad b kadri (4 resultados)

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  • Idioma: Inglés

    Editorial: VDM Verlag Dr. Müller, 2009

    3639216768 / 9783639216769

    • Tapa blanda

    Librería: preigu, Osnabrück, Alemaniapreigu

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    Condición: Nuevo

    EUR 43,40

    Envío por EUR 70,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 5 disponibles

    Taschenbuch. Condición: Neu. Model Free Adaptive Fuzzy Control | Beginners Approach | Muhammad B. Kadri | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2009 | VDM Verlag Dr. Müller | EAN 9783639216769 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.…

  • Idioma: Inglés

    Editorial: VDM Verlag Dr. Müller, 2009

    3639210417 / 9783639210415

    • Tapa blanda

    Librería: preigu, Osnabrück, Alemaniapreigu

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    Condición: Nuevo

    EUR 66,50

    Envío por EUR 70,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 5 disponibles

    Taschenbuch. Condición: Neu. Disturbance Rejection using Neuro-Fuzzy Controllers | Special emphasis on HVAC Application | Muhammad B. Kadri | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639210415 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

  • Idioma: Inglés

    Editorial: VDM Verlag Dr. Müller, 2009

    3639216768 / 9783639216769

    • Tapa blanda
    • Impresión bajo demanda

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

    Vendedor de 5 estrellas
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    Condición: Nuevo

    EUR 55,40

    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 control of uncertain non-linear plants is a challenging task. Adaptive Fuzzy Controllers have been applied widely for the control of such processes. The book discusses one particular approach to the fuzzy controllers. Adaptive Model Free Fuzzy Control is a goal oriented approach which tries to control the plant based on the information available without specifically modeling the plant. The prime objective of the controller is to reduce the control error. The book discusses two different model free control structures and their relative merits and de-merits. Four different fuzzy identification schemes have been discussed which can be used to train the controller parameters. The simulation results from both the controllers have been included to get a better understanding of the control performance. The cooling coil of an air handling unit is used for the realistic testing of the controllers.…

  • Idioma: Inglés

    Editorial: VDM Verlag Dr. Müller, 2009

    3639210417 / 9783639210415

    • Tapa blanda
    • Impresión bajo demanda

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

    Vendedor de 5 estrellas
    Contactar con el vendedor

    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 - Non-linear uncertain systems are difficult to model and control especially when the system has significant amount of disturbances. Achieving tight control performance in the face of poorly measured disturbance is a difficult objective. To reject the disturbances different methodologies have been proposed. The advantages and disadvantages of Internal model Control (IMC) are discussed. Hybrid control schemes has been proposed which incorporate the feedforward of the measured disturbance along with IMC. The benefits of Fuzzy Relational Model in the representation of the measurement uncertainty constitute a major portion of the book. A novel approach to defuzzification is explored which can significantly reduce the control activity. A novel two-stage approach is proposed which is able to provide a better representation of the measurement uncertainty in the fuzzy control signal and consequently less control activity. Artificial Neural Network model of the laboratory air handling unit has been developed. Results from the simulation as well as from the real system are included.…