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Anticipatory approach to design robust iterative learning control for uncertain time-delay systems

โœ Scribed by Deyuan Meng; Yingmin Jia


Publisher
John Wiley and Sons
Year
2010
Tongue
English
Weight
262 KB
Volume
13
Category
Article
ISSN
1561-8625

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โœฆ Synopsis


Abstract

This paper is devoted to robust iterative learning control (ILC) design for timeโ€delay systems (TDS) with uncertainties in both model plant and delay time. An ILC law is considered by using anticipation in time to compensate for the effects of delay, which has three design parameters: the weighting function, the lead time and the learning gain. For iterationโ€invariant TDS, it is shown that a necessary and sufficient condition can be obtained for the tracking error to converge for all admissible plant uncertainties. If the uncertainty is considered to be varying randomly from iteration to iteration, resulting in iterationโ€varying TDS, then a necessary and sufficient condition can be derived to ensure the convergence of the expected tracking error. For TDS in both cases, it is also shown that the convergence is monotonic in the sense of the โ„’๏ธ~2~โ€norm, and the estimated delay is sufficiently anticipatory for the selection of the lead time to achieve the robust ILC design. Simulation results are included to verify the theoretical study.

Copyright ยฉ 2010 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society


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