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Adaptive Neural Network Control for a Class of MIMO Uncertain Pure-Feedback Nonlinear Systems

by Zhenfeng Chen, Zhongsheng Wang, Jian Cen
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 124 - Number 16
Year of Publication: 2015
Authors: Zhenfeng Chen, Zhongsheng Wang, Jian Cen
10.5120/ijca2015905776

Zhenfeng Chen, Zhongsheng Wang, Jian Cen . Adaptive Neural Network Control for a Class of MIMO Uncertain Pure-Feedback Nonlinear Systems. International Journal of Computer Applications. 124, 16 ( August 2015), 1-5. DOI=10.5120/ijca2015905776

@article{ 10.5120/ijca2015905776,
author = { Zhenfeng Chen, Zhongsheng Wang, Jian Cen },
title = { Adaptive Neural Network Control for a Class of MIMO Uncertain Pure-Feedback Nonlinear Systems },
journal = { International Journal of Computer Applications },
issue_date = { August 2015 },
volume = { 124 },
number = { 16 },
month = { August },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume124/number16/22192-2015905776/ },
doi = { 10.5120/ijca2015905776 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:14:33.328890+05:30
%A Zhenfeng Chen
%A Zhongsheng Wang
%A Jian Cen
%T Adaptive Neural Network Control for a Class of MIMO Uncertain Pure-Feedback Nonlinear Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 124
%N 16
%P 1-5
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, robust adaptive neural network control is investigated for a class of multi-input-multi-output (MIMO) pure-feedback nonlinear system with unknown nonlinearities. The unknown nonlinearities could be come from unmodeled dynamics, modeling errors, or nonlinear time-varying uncertainties. Based on the backstepping design technique and the universal approximation property of the neural network (NN), robust adaptive control is synthesized by employing a single NN to approximate the lumped uncertain nonlinearities. The proposed control can eliminate the circularity problem completely, and guarantees semiglobal uniform ultimate boundedness (SGUUB) of all the signals in the closed-loop and convergence of the tracking error to an arbitrarily small residual set.

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Index Terms

Computer Science
Information Sciences

Keywords

Adaptive control neural network control multi-input/multi-output (MIMO) nonlinear systems backstepping

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