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Direct Adaptive Control for a Class of Uncertain Nonlinear Systems

by Zhenfeng Chen, Xuhong Zhang, Zhongsheng Wang
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 119 - Number 16
Year of Publication: 2015
Authors: Zhenfeng Chen, Xuhong Zhang, Zhongsheng Wang
10.5120/21150-4168

Zhenfeng Chen, Xuhong Zhang, Zhongsheng Wang . Direct Adaptive Control for a Class of Uncertain Nonlinear Systems. International Journal of Computer Applications. 119, 16 ( June 2015), 11-15. DOI=10.5120/21150-4168

@article{ 10.5120/21150-4168,
author = { Zhenfeng Chen, Xuhong Zhang, Zhongsheng Wang },
title = { Direct Adaptive Control for a Class of Uncertain Nonlinear Systems },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 119 },
number = { 16 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 11-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume119/number16/21150-4168/ },
doi = { 10.5120/21150-4168 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:04:11.856958+05:30
%A Zhenfeng Chen
%A Xuhong Zhang
%A Zhongsheng Wang
%T Direct Adaptive Control for a Class of Uncertain Nonlinear Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 119
%N 16
%P 11-15
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, a novel systematic design procedure is presented for a class of uncertain nonlinear systems. Such design procedure can remove the control input terms which contain the unknown nonlinearities as the control coefficients, and provides the following advantages: it not only avoids a possible singularity problem completely, but also simplifies the control design process. Moreover, the proposed design procedure can provide simple control structure under the relaxed conditions, which is easy to implement and can be applied to a wider class of systems.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Adaptive control Lyapunov function stability

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