Fuzzy and Neural Adaptive Control of a Class of Nonlinear Systems: Fuzzy and Neural Feedback Linearization Adaptive Control - Tapa blanda
Sinopsis
In this book, two types of direct adaptive control schemes for a class of nonlinear systems are proposed. Based on the feedback linearization theory, the architecture employs for the first approach the fuzzy logic reasoning of Takagi Sugeno (TS) type and uses for the second approach the strategy of neural network reasoning of radial basis function (RBF) type to approximate the feedback linearization control law. In each case, the parameters of the adaptive controller are adapted according to a law derived using Lyapunov stability theory. The adaptive controller is applied in simulation to control three nonlinear systems in both the fuzzy and the neural network methods.
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Reseña del editor
In this book, two types of direct adaptive control schemes for a class of nonlinear systems are proposed. Based on the feedback linearization theory, the architecture employs for the first approach the fuzzy logic reasoning of Takagi Sugeno (TS) type and uses for the second approach the strategy of neural network reasoning of radial basis function (RBF) type to approximate the feedback linearization control law. In each case, the parameters of the adaptive controller are adapted according to a law derived using Lyapunov stability theory. The adaptive controller is applied in simulation to control three nonlinear systems in both the fuzzy and the neural network methods.
Biografía del autor
Mohamed Bahita obtained his “Ingénieur“, his Master Degree and his Doctor “ès Sciences” Degree all in control Engineering from the University of Constantine, Algeria. He is currently with the University of BOUMERDES, Algeria. His main interests are in artificial intelligence (fuzzy and neural) and in adaptive control of nonlinear systems.
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Fuzzy and Neural Adaptive Control of a Class of Nonlinear Systems
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LAP LAMBERT Academic Publishing Apr 2012, 2012
ISBN 10: 3848489201
ISBN 13: 9783848489206
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this book, two types of direct adaptive control schemes for a class of nonlinear systems are proposed. Based on the feedback linearization theory, the architecture employs for the first approach the fuzzy logic reasoning of Takagi Sugeno (TS) type and uses for the second approach the strategy of neural network reasoning of radial basis function (RBF) type to approximate the feedback linearization control law. In each case, the parameters of the adaptive controller are adapted according to a law derived using Lyapunov stability theory. The adaptive controller is applied in simulation to control three nonlinear systems in both the fuzzy and the neural network methods. 64 pp. Englisch. Nº de ref. del artículo: 9783848489206
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Fuzzy and Neural Adaptive Control of a Class of Nonlinear Systems
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LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848489201
ISBN 13: 9783848489206
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Fuzzy and Neural Adaptive Control of a Class of Nonlinear Systems
Publicado por
LAP LAMBERT Academic Publishing Apr 2012, 2012
ISBN 10: 3848489201
ISBN 13: 9783848489206
Nuevo
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this book, two types of direct adaptive control schemes for a class of nonlinear systems are proposed. Based on the feedback linearization theory, the architecture employs for the first approach the fuzzy logic reasoning of Takagi Sugeno (TS) type and uses for the second approach the strategy of neural network reasoning of radial basis function (RBF) type to approximate the feedback linearization control law. In each case, the parameters of the adaptive controller are adapted according to a law derived using Lyapunov stability theory. The adaptive controller is applied in simulation to control three nonlinear systems in both the fuzzy and the neural network methods.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch. Nº de ref. del artículo: 9783848489206
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Fuzzy and Neural Adaptive Control of a Class of Nonlinear Systems : Fuzzy and Neural Feedback Linearization Adaptive Control
Publicado por
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848489201
ISBN 13: 9783848489206
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book, two types of direct adaptive control schemes for a class of nonlinear systems are proposed. Based on the feedback linearization theory, the architecture employs for the first approach the fuzzy logic reasoning of Takagi Sugeno (TS) type and uses for the second approach the strategy of neural network reasoning of radial basis function (RBF) type to approximate the feedback linearization control law. In each case, the parameters of the adaptive controller are adapted according to a law derived using Lyapunov stability theory. The adaptive controller is applied in simulation to control three nonlinear systems in both the fuzzy and the neural network methods. Nº de ref. del artículo: 9783848489206
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Fuzzy and Neural Adaptive Control of a Class of Nonlinear Systems | Fuzzy and Neural Feedback Linearization Adaptive Control
Publicado por
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848489201
ISBN 13: 9783848489206
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Taschenbuch. Condición: Neu. Fuzzy and Neural Adaptive Control of a Class of Nonlinear Systems | Fuzzy and Neural Feedback Linearization Adaptive Control | Mohamed Bahita (u. a.) | Taschenbuch | 64 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783848489206 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 106497223
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Fuzzy and Neural Adaptive Control of a Class of Nonlinear Systems: Fuzzy and Neural Feedback Linearization Adaptive Control
Publicado por
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848489201
ISBN 13: 9783848489206
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