On Higher-Order Iterative Learning Control Algorithm in Presence of Measurement Noise

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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Bibliographic Details
Main Author: Saab, Samer S. (author)
Format: conferenceObject
Published: 2005
Subjects:
Adaptive control systems > Congresses
Decision making > Mathematical models > Congresses
System analysis > Congresses
Feedback control systems > Congresses
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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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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