On Higher-Order Iterative Learning Control Algorithm in Presence of Measurement Noise
Higher-Order Iterative Learning Control (HO-ILC) algorithms use past system control information from more than one past iterative cycle. This class of ILC algorithms have been proposed aiming at improving the learning efficiency and performance. This paper addresses the optimality of HO-ILC in the s...
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| Format: | conferenceObject |
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2005
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| Online Access: | http://hdl.handle.net/10725/11216 http://dx.doi.org/10.1109/CDC.2005.1582530 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://ieeexplore.ieee.org/abstract/document/1582530 |
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