Neural feedback linearization adaptive control for affine nonlinear systems based on neural network estimator

In this work, we introduce an adaptive neural network controller for a class of nonlinear systems. The approach uses two Radial Basis Functions, RBF networks. The first RBF network is used to approximate the ideal control law which cannot be implemented since the dynamics of the system are...

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Main Authors: Bahita Mohamed, Belarbi Khaled
Format: Article
Language:English
Published: Faculty of Technical Sciences in Cacak 2011-01-01
Series:Serbian Journal of Electrical Engineering
Subjects:
Online Access:http://www.doiserbia.nb.rs/img/doi/1451-4869/2011/1451-48691103307B.pdf
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author Bahita Mohamed
Belarbi Khaled
author_facet Bahita Mohamed
Belarbi Khaled
author_sort Bahita Mohamed
collection DOAJ
description In this work, we introduce an adaptive neural network controller for a class of nonlinear systems. The approach uses two Radial Basis Functions, RBF networks. The first RBF network is used to approximate the ideal control law which cannot be implemented since the dynamics of the system are unknown. The second RBF network is used for on-line estimating the control gain which is a nonlinear and unknown function of the states. The updating laws for the combined estimator and controller are derived through Lyapunov analysis. Asymptotic stability is established with the tracking errors converging to a neighborhood of the origin. Finally, the proposed method is applied to control and stabilize the inverted pendulum system.
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spelling doaj.art-088c8fe5d01b4efc94e63357282c8c6f2022-12-22T00:13:33ZengFaculty of Technical Sciences in CacakSerbian Journal of Electrical Engineering1451-48692217-71832011-01-018330732310.2298/SJEE1103307B1451-48691103307BNeural feedback linearization adaptive control for affine nonlinear systems based on neural network estimatorBahita Mohamed0Belarbi Khaled1Faculty of Hydrocarbons and Chemistry (FHC), University of Boumerdes, Boumerdes, AlgeriaFaculty of Engineering, University of Constantine, Constantine, AlgeriaIn this work, we introduce an adaptive neural network controller for a class of nonlinear systems. The approach uses two Radial Basis Functions, RBF networks. The first RBF network is used to approximate the ideal control law which cannot be implemented since the dynamics of the system are unknown. The second RBF network is used for on-line estimating the control gain which is a nonlinear and unknown function of the states. The updating laws for the combined estimator and controller are derived through Lyapunov analysis. Asymptotic stability is established with the tracking errors converging to a neighborhood of the origin. Finally, the proposed method is applied to control and stabilize the inverted pendulum system.http://www.doiserbia.nb.rs/img/doi/1451-4869/2011/1451-48691103307B.pdfadaptive controlcontrol gain estimationfeedback linearizationradial basis function network
spellingShingle Bahita Mohamed
Belarbi Khaled
Neural feedback linearization adaptive control for affine nonlinear systems based on neural network estimator
Serbian Journal of Electrical Engineering
adaptive control
control gain estimation
feedback linearization
radial basis function network
title Neural feedback linearization adaptive control for affine nonlinear systems based on neural network estimator
title_full Neural feedback linearization adaptive control for affine nonlinear systems based on neural network estimator
title_fullStr Neural feedback linearization adaptive control for affine nonlinear systems based on neural network estimator
title_full_unstemmed Neural feedback linearization adaptive control for affine nonlinear systems based on neural network estimator
title_short Neural feedback linearization adaptive control for affine nonlinear systems based on neural network estimator
title_sort neural feedback linearization adaptive control for affine nonlinear systems based on neural network estimator
topic adaptive control
control gain estimation
feedback linearization
radial basis function network
url http://www.doiserbia.nb.rs/img/doi/1451-4869/2011/1451-48691103307B.pdf
work_keys_str_mv AT bahitamohamed neuralfeedbacklinearizationadaptivecontrolforaffinenonlinearsystemsbasedonneuralnetworkestimator
AT belarbikhaled neuralfeedbacklinearizationadaptivecontrolforaffinenonlinearsystemsbasedonneuralnetworkestimator