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

Bahita, Mohamed, Belarbi, Khaled

ISBN 10: 3848489201 / ISBN 13: 9783848489206

Published by LAP LAMBERT Academic Publishing, 2012

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Bibliographic Details

• Title: Fuzzy and Neural Adaptive Control of a Class of Nonlinear Systems: Fuzzy and Neural Feedback Linearization Adaptive Control
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2012
• Language: English
• ISBN 10: 3848489201
• ISBN 13: 9783848489206
• Binding: Paperback
• Condition: Like New
• Book Type: book

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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.

About the Author

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.