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

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


49,00 €
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von Mohamed Bahita, Khaled Belarbi

Beschreibung

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.


Tags: Technik, Elektronik, Elektrotechnik, Nachrichtentechnik


Taschenbuch - 9783848489206
Verlag: LAP Lambert Academic Publishing
Ersterscheinung: April 2012
ISBN-13: 9783848489206
Größe: 225 mm x 151 mm x 8 mm
Gewicht: 115 Gramm
64 Seiten
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