## Abstract The problem of robust stabilization for uncertain dynamic timeโdelay systems is considered. Firstly a class of timeโdelay systems with uncertainties bounded by highโorder polynomials and unknown coefficients are considered. The corresponding controller is designed by employing adaptive
Anticipatory approach to design robust iterative learning control for uncertain time-delay systems
โ 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
- DOI
- 10.1002/asjc.241
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โฆ Synopsis
Abstract
This paper is devoted to robust iterative learning control (ILC) design for timeโdelay 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 iterationโinvariant 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 iterationโvarying 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~โnorm, 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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