Discrete-time adaptive learning control for parametric uncertainties with unknown periods

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Journal Title
Journal ISSN
Volume Title
School of Chemical Technology | A4 Artikkeli konferenssijulkaisussa
Date
2013
Major/Subject
Mcode
Degree programme
Language
en
Pages
1786 - 1791
Series
Abstract
In this paper, we approach the problem of unknown periods for a class of discrete-time parametric nonlinear systems with nonlinearities which do not necessarily satisfy the sector-bounded condition. The unknown periods hide in the parametric uncertainties, which is difficult to estimate. By incorporating a logic-based switching mechanism, we estimate the period and bound of unknown parameter simultaneously under Lyapunov-based analysis. Rigorous proof is given to demonstrate that a finite number of switchings can guarantee the asymptotic regulation of the nonlinear system considered. The simulation result also shows the efficacy of the proposed switching periodic adaptive control method.
Description
Keywords
discrete-time nonlinear systems, periodic adaptive control
Other note
Citation
Miao Yu & Deqing Huang. 2013. Discrete-time adaptive learning control for parametric uncertainties with unknown periods. 2013 IEEE 52nd Annual Conference on Decision and Control (CDC). 1786-1791. ISBN 978-1-4673-5714-2 (electronic). ISBN 978-1-4673-5714-2 (printed). DOI: 10.1109/cdc.2013.6760141.