Adaptive set-point regulation of discrete-time nonlinear systems

Summary In this paper, adaptive set‐point regulation controllers for discrete‐time nonlinear systems are constructed. The system to be controlled is assumed to have a parametric uncertainty, and an excitation signal is used in order to obtain the parameter estimate. The proposed controller belongs t...

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Published inInternational journal of adaptive control and signal processing Vol. 30; no. 4; pp. 599 - 607
Main Author Hanba, Shigeru
Format Journal Article
LanguageEnglish
Published Bognor Regis Blackwell Publishing Ltd 01.04.2016
Wiley Subscription Services, Inc
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ISSN0890-6327
1099-1115
DOI10.1002/acs.2601

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Summary:Summary In this paper, adaptive set‐point regulation controllers for discrete‐time nonlinear systems are constructed. The system to be controlled is assumed to have a parametric uncertainty, and an excitation signal is used in order to obtain the parameter estimate. The proposed controller belongs to the category of indirect adaptive controllers, and its construction is based on the policy of calculating the control input rather than that of obtaining a control law. The proposed method solves the adaptive set‐point regulation problem under the assumption that the target state is reachable for each fixed parameter value. Additional feature of the proposed method is that Lyapunov‐like functions have not been used in the construction of the controllers. Copyright © 2015 John Wiley & Sons, Ltd.
Bibliography:ArticleID:ACS2601
ark:/67375/WNG-3MZ05KT7-Q
grant-in-aid for scientific research - No. 23560535
istex:E322A2D0CE8EBAC2C67C965EED49A852FF4FFE73
Japan Society for the Promotion of Science
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ISSN:0890-6327
1099-1115
DOI:10.1002/acs.2601