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Fuzzy and Neural Adaptive Control of a Class of Nonlinear Systems: Fuzzy and Neural Feedback Linearization Adaptive Control - Couverture souple
Synopsis
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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Présentation de l'éditeur
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.
Biographie de l'auteur
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
Edité par
LAP LAMBERT Academic Publishing, 2012
ISBN 10 : 3848489201
ISBN 13 : 9783848489206
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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Fuzzy and Neural Adaptive Control of a Class of Nonlinear Systems : Fuzzy and Neural Feedback Linearization Adaptive Control
Edité par
LAP LAMBERT Academic Publishing, 2012
ISBN 10 : 3848489201
ISBN 13 : 9783848489206
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9783848489206
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Fuzzy and Neural Adaptive Control of a Class of Nonlinear Systems
Edité par
LAP LAMBERT Academic Publishing Apr 2012, 2012
ISBN 10 : 3848489201
ISBN 13 : 9783848489206
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9783848489206
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Fuzzy and Neural Adaptive Control of a Class of Nonlinear Systems
Edité par
LAP LAMBERT Academic Publishing Apr 2012, 2012
ISBN 10 : 3848489201
ISBN 13 : 9783848489206
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. 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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 64 pp. Englisch. N° de réf. du vendeur 9783848489206
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Fuzzy and Neural Adaptive Control of a Class of Nonlinear Systems: Fuzzy and Neural Feedback Linearization Adaptive Control
Edité par
LAP LAMBERT Academic Publishing, 2012
ISBN 10 : 3848489201
ISBN 13 : 9783848489206
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Paperback. Etat : Like New. Like New. book. N° de réf. du vendeur ERICA75838484892016
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