ISBN: 9783639210415 - disturbance rejection using neuro-fuzzy controllers: special emphasis on hvac application (4 resultados)

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Librería: preigu, Osnabrück, Alemaniapreigu
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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.…

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Librería: moluna, Greven, Alemaniamoluna
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Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: KADRI MUHAMMAD BILALBS Computer System Engineering,GIKI,Pakistan,1998-2002, DPhil in Engineering Science, Research Area: Neuro-Fuzzy Controls, University of Oxford, UK, 2005-2009, Presently working as an Assistant Professor at NUST, . …

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