DocumentCode :
3261986
Title :
An Optimal ILC method for two-dimensional systems
Author :
Afkhami, H. ; Argha, A.
Author_Institution :
Islamic Azad Univ., Sepidan, Iran
fYear :
2010
fDate :
10-11 Sept. 2010
Firstpage :
511
Lastpage :
517
Abstract :
In this paper, the application of Optimal Iterative Learning Control (OILC) algorithm in two-dimensional problems is discussed. For this issue by using 1-D model of WAM (Wave Advanced Model), the 2-D model is converted to 1-D model. To generate the control rule in the every iteration, a cost function would be minimized by using optimization methods and the convergence of this method also will be confirmed.
Keywords :
convergence; iterative methods; learning (artificial intelligence); multidimensional systems; optimal control; WAM; convergence; iterative learning control; optimal ILC method; optimization; two-dimensional systems; Algorithm design and analysis; Control systems; Convergence; Intelligent systems; Optimization methods; Process control; Simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems and Informatics (SISY), 2010 8th International Symposium on
Conference_Location :
Subotica
Print_ISBN :
978-1-4244-7394-6
Type :
conf
DOI :
10.1109/SISY.2010.5647072
Filename :
5647072
Link To Document :
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