DocumentCode
3423992
Title
Stability analysis of iterative learning control with data dropouts
Author
Bu, Xuhui ; Hou, Zhongsheng ; Dong, Hairong
Author_Institution
Adv. Control Syst. Lab., Beijing Jiaotong Univ., Beijing, China
fYear
2009
fDate
9-11 Dec. 2009
Firstpage
1146
Lastpage
1151
Abstract
This paper presents the stability analysis of the iterative learning control (ILC) for linear discrete-time system when they are subject to output measurement data dropouts. Using the so-called super-vector approach to ILC, the expectation of output error covariance matrix is employed to develop sufficient conditions for monotonic convergence of such an ILC process. The analysis is supported by simulations.
Keywords
covariance matrices; iterative methods; learning (artificial intelligence); stability; iterative learning control; linear discrete time system; monotonic convergence; output error covariance matrix; output measurement data dropouts; stability analysis; Actuators; Automatic control; Communication system control; Control systems; Convergence; Laboratories; Networked control systems; Noise robustness; Robust control; Stability analysis; data dropouts; iterative learning control; robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Automation, 2009. ICCA 2009. IEEE International Conference on
Conference_Location
Christchurch
Print_ISBN
978-1-4244-4706-0
Electronic_ISBN
978-1-4244-4707-7
Type
conf
DOI
10.1109/ICCA.2009.5410188
Filename
5410188
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