Feedback Linearization Control for Highly Uncertain Nonlinear Systems Augmented by Single-Hidden-Layer Neural Networks

Feedback Linearization Control for Highly Uncertain Nonlinear Systems Augmented by Single-Hidden-Layer Neural Networks

The main objective of this paper is to design an adaptive output feedback control for a class of uncertain nonlinear systems using only one Single-Hidden-Layer (SHL) Neural Networks (NN) in order to eliminate the unstructured uncertainties. The approach employs feedback linearization, coupled with...

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Bibliographic Details
Main Authors: Hamou Ait Abbas, Mohammed Belkheiri, Boubakeur Zegnini
Format: Article
Language:English
Published: Eastern Macedonia and Thrace Institute of Technology 2014-11-01
Series:Journal of Engineering Science and Technology Review
Subjects:
Feedback control
nonlinear systems
single-hidden-layer neural network
error dynamics
unstructured uncertainty.
Online Access:http://www.jestr.org/downloads/Volume8Issue2/fulltext82272015.pdf

Internet

http://www.jestr.org/downloads/Volume8Issue2/fulltext82272015.pdf

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