Robust Adaptive Neural Backstepping Control for a Class of Nonlinear Systems with Dynamic Uncertainties

Robust Adaptive Neural Backstepping Control for a Class of Nonlinear Systems with Dynamic Uncertainties

This paper is concerned with adaptive neural control of nonlinear strict-feedback systems with nonlinear uncertainties, unmodeled dynamics, and dynamic disturbances. To overcome the difficulty from the unmodeled dynamics, a dynamic signal is introduced. Radical basis function (RBF) neural networks a...

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Main Authors: Hongyan Yang, Huanqing Wang, Hamid Reza Karimi
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:Abstract and Applied Analysis
Online Access:http://dx.doi.org/10.1155/2014/658671
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spelling doaj-ccb99248b35e41df9d98fdeb5f70bea92020-11-25T00:45:18ZengHindawi LimitedAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/658671658671Robust Adaptive Neural Backstepping Control for a Class of Nonlinear Systems with Dynamic UncertaintiesHongyan Yang0Huanqing Wang1Hamid Reza Karimi2School of Mathematics and Physics, Bohai University, Jinzhou, Liaoning 121000, ChinaSchool of Mathematics and Physics, Bohai University, Jinzhou, Liaoning 121000, ChinaDepartment of Engineering, Faculty of Engineering and Science, University of Agder, 4898 Grimstad, NorwayThis paper is concerned with adaptive neural control of nonlinear strict-feedback systems with nonlinear uncertainties, unmodeled dynamics, and dynamic disturbances. To overcome the difficulty from the unmodeled dynamics, a dynamic signal is introduced. Radical basis function (RBF) neural networks are employed to model the packaged unknown nonlinearities, and then an adaptive neural control approach is developed by using backstepping technique. The proposed controller guarantees semiglobal boundedness of all the signals in the closed-loop systems. A simulation example is given to show the effectiveness of the presented control scheme.http://dx.doi.org/10.1155/2014/658671
collection DOAJ
language English
format Article
sources DOAJ
author Hongyan Yang
Huanqing Wang
Hamid Reza Karimi
spellingShingle Hongyan Yang
Huanqing Wang
Hamid Reza Karimi
Robust Adaptive Neural Backstepping Control for a Class of Nonlinear Systems with Dynamic Uncertainties
Abstract and Applied Analysis
author_facet Hongyan Yang
Huanqing Wang
Hamid Reza Karimi
author_sort Hongyan Yang
title Robust Adaptive Neural Backstepping Control for a Class of Nonlinear Systems with Dynamic Uncertainties
title_short Robust Adaptive Neural Backstepping Control for a Class of Nonlinear Systems with Dynamic Uncertainties
title_full Robust Adaptive Neural Backstepping Control for a Class of Nonlinear Systems with Dynamic Uncertainties
title_fullStr Robust Adaptive Neural Backstepping Control for a Class of Nonlinear Systems with Dynamic Uncertainties
title_full_unstemmed Robust Adaptive Neural Backstepping Control for a Class of Nonlinear Systems with Dynamic Uncertainties
title_sort robust adaptive neural backstepping control for a class of nonlinear systems with dynamic uncertainties
publisher Hindawi Limited
series Abstract and Applied Analysis
issn 1085-3375
1687-0409
publishDate 2014-01-01
description This paper is concerned with adaptive neural control of nonlinear strict-feedback systems with nonlinear uncertainties, unmodeled dynamics, and dynamic disturbances. To overcome the difficulty from the unmodeled dynamics, a dynamic signal is introduced. Radical basis function (RBF) neural networks are employed to model the packaged unknown nonlinearities, and then an adaptive neural control approach is developed by using backstepping technique. The proposed controller guarantees semiglobal boundedness of all the signals in the closed-loop systems. A simulation example is given to show the effectiveness of the presented control scheme.
url http://dx.doi.org/10.1155/2014/658671
work_keys_str_mv AT hongyanyang robustadaptiveneuralbacksteppingcontrolforaclassofnonlinearsystemswithdynamicuncertainties
AT huanqingwang robustadaptiveneuralbacksteppingcontrolforaclassofnonlinearsystemswithdynamicuncertainties
AT hamidrezakarimi robustadaptiveneuralbacksteppingcontrolforaclassofnonlinearsystemswithdynamicuncertainties
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