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