Iterative Learning Control For Multiple Point-to-Point Tracking


Freeman, Christopher, Cai, Zhonglun, Lewin, Paul and Rogers, Eric (2009) Iterative Learning Control For Multiple Point-to-Point Tracking. In, 48th IEEE Conference on Decision and Control, Shanghai, China, , 3288-3293. (Submitted).

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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
Divisions: Faculty of Physical and Applied Science > Electronics and Computer Science > Comms, Signal Processing & Control
Faculty of Physical and Applied Science > Electronics and Computer Science > EEE
Item ID: 268333
Date Deposited: 21 Dec 2009 12:33
Last Modified: 01 Mar 2012 15:39
Contributors: Freeman, Christopher (Author)
Cai, Zhonglun (Author)
Lewin, Paul (Author)
Rogers, Eric (Author)
Date: 23 February 2009
Additional Information: Event Dates: December 2009
Status: Submitted
Further Information:Google Scholar
ISI Citation Count:2
URI: http://eprints.soton.ac.uk/id/eprint/268333

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