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
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;
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
DOI :
10.1109/ICCA.2009.5410188
