Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/57207
Title: Recent advances in iterative learning control
Authors: Xu, J.-X. 
Keywords: Iterative learning control
Linear processes
Nonlinear processes
Issue Date: Jan-2005
Source: Xu, J.-X. (2005-01). Recent advances in iterative learning control. Zidonghua Xuebao/Acta Automatica Sinica 31 (1) : 132-142. ScholarBank@NUS Repository.
Abstract: We review the recent advances in three sub-areas of iterative learning control (ILC): 1) linear ILC for linear processes, 2) linear ILC for nonlinear processes which are global Lipschitz continuous (GLC), and 3) nonlinear ILC for general nonlinear processes. For linear processes, we focus on several basic configurations of linear ILC. For nonlinear processes with linear ILC, we concentrate on the design and transient analysis which were overlooked and missing for a long period. For general classes of nonlinear processes, we demonstrate nonlinear ILC methods based on Lyapunov theory, which is evolving into a new control paradigm.
Source Title: Zidonghua Xuebao/Acta Automatica Sinica
URI: http://scholarbank.nus.edu.sg/handle/10635/57207
ISSN: 02544156
Appears in Collections:Staff Publications

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