DocumentCode :
592452
Title :
Intermediate point norm optimal iterative learning control
Author :
Owens, David H. ; Freeman, C.T. ; Dinh, Thanh Vinh
Author_Institution :
Dept. of Autom. Control & Syst. Eng., Univ. of Sheffield, Sheffield, UK
fYear :
2012
fDate :
10-13 Dec. 2012
Firstpage :
3954
Lastpage :
3959
Abstract :
A Norm-Optimal Iterative Learning Control (NOILC) solution is developed for the problem when tracking is only required at a subset of isolated time points along the trial duration. Well-defined convergence properties are presented, along with design guidelines and supporting experimental results using an electromechanical test facility.
Keywords :
adaptive control; control system synthesis; convergence; iterative methods; learning systems; optimal control; convergence properties; design guidelines; electromechanical test facility; intermediate point norm optimal iterative learning control; tracking; Convergence; Eigenvalues and eigenfunctions; Equations; Feedforward neural networks; Frequency modulation; Hilbert space; State feedback;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location :
Maui, HI
ISSN :
0743-1546
Print_ISBN :
978-1-4673-2065-8
Electronic_ISBN :
0743-1546
Type :
conf
DOI :
10.1109/CDC.2012.6426652
Filename :
6426652
Link To Document :
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