DocumentCode :
2844929
Title :
An algorithm of adaptive iterative learning control based on process models
Author :
Zhai, Chunyan ; Xue, Dingyu ; Li, Shuchen
Author_Institution :
Sch. of Inf. & Control Eng., Liaoning Shihua Univ., Fushun, China
fYear :
2010
fDate :
26-28 May 2010
Firstpage :
3009
Lastpage :
3012
Abstract :
An algorithm of adaptive iterative learning control (AILC) based on model is proposed for a class of CARMA models with repetitive trajectory in a specific period of time. Process model parameters are identificated using previous time data and AILC law of the current time is constituted by process model parameters. Convergence and stability are analyzed. The algorithm for linear stable process can achieve the unbiased fast-tracking. Several simulation examples demonstrate the effectiveness and robustness of the algorithm.
Keywords :
adaptive control; convergence; iterative methods; learning systems; stability; CARMA models; adaptive iterative learning control; convergence; process model parameter; repetitive trajectory; stability; unbiased fast-tracking; Adaptive control; Control engineering; Convergence; Electronic mail; Information science; Iterative algorithms; Process control; Programmable control; Stability analysis; Three-term control; CARMA model; adaptive; iterative learning control; system identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location :
Xuzhou
Print_ISBN :
978-1-4244-5181-4
Electronic_ISBN :
978-1-4244-5182-1
Type :
conf
DOI :
10.1109/CCDC.2010.5498655
Filename :
5498655
Link To Document :
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