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. In, UKACC International Conference on CONTROL 2010, Coventry, UK, 07 - 10 Sep 2010. , 211-216.
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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|
|Divisions:||Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Comms, Signal Processing & Control
Faculty of Physical Sciences and Engineering > Electronics and Computer Science > EEE
|Date Deposited:||13 Apr 2010 10:53|
|Last Modified:||27 Mar 2014 20:15|
|Contact Email Address:||email@example.com|
|Further Information:||Google Scholar|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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