화학공학소재연구정보센터
Automatica, Vol.63, 359-365, 2016
On almost sure and mean square convergence of P-type ILC under randomly varying iteration lengths
This note proposes convergence analysis of iterative learning control (ILC) for discrete-time linear systems with randomly varying iteration lengths. No prior information is required on the probability distribution of randomly varying iteration lengths. The conventional P-type update law is adopted with Arimoto-like gain and/or causal gain. The convergence both in almost sure and mean square senses is proved by direct math calculating. Numerical simulations verifies the theoretical analysis. (C) 2015 Elsevier Ltd. All rights reserved.