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Experimental Verification of Accelerated Norm-Optimal Iterative Learning Control

Chu, B, Cai, Z, Owens, D H, Rogers, E, Freeman, C T and Lewin, P L (2010) Experimental Verification of Accelerated Norm-Optimal Iterative Learning Control At UKACC International Conference on CONTROL 2010, United Kingdom. 07 - 10 Sep 2010. , pp. 211-216.

Record type: Conference or Workshop Item (Paper)


Accelerated Norm-Optimal Iterative Learning Control (NOILC) is a recently developed method to improve the convergence performance of the well known NOILC algorithm. This paper investigates the e®ectiveness of this method experimentally on a gantry robot facility, which has been extensively used to test a wide range of linear model based ILC algorithms. The results obtained con¯rm that the accelerated algorithm outperforms NOILC algorithm and in particular, the improvements at initial stage can be substantial, which is of great interest in practical applications.

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Published date: 7 September 2010
Additional Information: Event Dates: 7-10 September 2010
Venue - Dates: UKACC International Conference on CONTROL 2010, United Kingdom, 2010-09-07 - 2010-09-10
Organisations: EEE, Southampton Wireless Group


Local EPrints ID: 270828
PURE UUID: 0d08cf81-4e07-4fca-8313-d19aae459d6c

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Date deposited: 13 Apr 2010 10:53
Last modified: 18 Jul 2017 06:50

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Author: B Chu
Author: Z Cai
Author: D H Owens
Author: E Rogers
Author: C T Freeman
Author: P L Lewin

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