Iterative Learning Control For Multiple Point-to-Point Tracking


(2009) Iterative Learning Control For Multiple Point-to-Point Tracking At 48th IEEE Conference on Decision and Control , pp. 3288-3293.

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Description/Abstract

A framework is developed which enables a general class of linear Iterative Learning Control (ILC) algorithms to be applied to tracking tasks which require the plant output to reach given points at predetermined time instants, without the need for intervening reference points to be stipulated. It is shown that superior convergence and robustness properties are obtained compared with those associated with using the original class of ILC algorithm to track a prescribed arbitrary reference trajectory satisfying the point-to-point position constraints.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Event Dates: December 2009
ePrint ID: 267138
Date Deposited: 23 Feb 2009 16:51
Last Modified: 31 Mar 2016 14:14
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/267138

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