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.

Download

[img] PDF 111.pdf - Version of Record
Restricted to Registered users only

Download (504kB)

Description/Abstract

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.

Item Type: Conference or Workshop Item (Paper)
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
ePrint ID: 270828
Date :
Date Event
7 September 2010Published
Date Deposited: 13 Apr 2010 10:53
Last Modified: 17 Apr 2017 18:28
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/270828

Actions (login required)

View Item View Item