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Fuzzy Neural Adaptive Control by Bahita Mohamed (6 results)
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Fuzzy and Neural Adaptive Control of a Class of Nonlinear Systems
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848489201 ISBN 13: 9783848489206
Language: English
Condition: New.
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Fuzzy and Neural Adaptive Control of a Class of Nonlinear Systems
Published by LAP LAMBERT Academic Publishing Apr 2012, 2012
ISBN 10: 3848489201 ISBN 13: 9783848489206
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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.
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Fuzzy and Neural Adaptive Control of a Class of Nonlinear Systems | Fuzzy and Neural Feedback Linearization Adaptive Control
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848489201 ISBN 13: 9783848489206
Language: English
Taschenbuch. Condition: 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: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
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Fuzzy and Neural Adaptive Control of a Class of Nonlinear Systems: Fuzzy and Neural Feedback Linearization Adaptive Control
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848489201 ISBN 13: 9783848489206
Language: English
Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Fuzzy and Neural Adaptive Control of a Class of Nonlinear Systems
Published by LAP LAMBERT Academic Publishing Apr 2012, 2012
ISBN 10: 3848489201 ISBN 13: 9783848489206
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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.
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Fuzzy and Neural Adaptive Control of a Class of Nonlinear Systems : Fuzzy and Neural Feedback Linearization Adaptive Control
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848489201 ISBN 13: 9783848489206
Language: English
Taschenbuch. Condition: 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.
