Fuzzy and Neural Adaptive Control of a Class of Nonlinear Systems: Fuzzy and Neural Feedback Linearization Adaptive Control - Couverture souple

Bahita, Mohamed; Belarbi, Khaled

 
9783848489206: Fuzzy and Neural Adaptive Control of a Class of Nonlinear Systems: Fuzzy and Neural Feedback Linearization Adaptive Control

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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