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Fuzzy and Neural Adaptive Control of a Class of Nonlinear Systems: Fuzzy and Neural Feedback Linearization Adaptive Control - Softcover
Inhaltsangabe
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
Verlag:
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848489201
ISBN 13: 9783848489206
Neu
Softcover
Anbieter: moluna, Greven, Deutschland
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Foto des Verkäufers
Fuzzy and Neural Adaptive Control of a Class of Nonlinear Systems
Verlag:
LAP LAMBERT Academic Publishing Apr 2012, 2012
ISBN 10: 3848489201
ISBN 13: 9783848489206
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: 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. Artikel-Nr. 9783848489206
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