Iterative learning control in feedback systems
type: Item
instance of: scholarly article
title: Iterative learning control in feedback systems
zbMATH Open document ID: 0830.93034
DOI: 10.1016/0005-1098(94)00064-P
author: Tae-Jeong Jang
author: Chong-Ho Choi
author: Hyun-Sik Ahn
published in: Automatica
publication date: 1996-02-04T00:00:00Z
review text: A new iterative learning control scheme is presented to provide tracking control for a class of nonlinear systems. The scheme uses a standard feedback control configuration, but is augmented by a feedforward term that is updated via iterative learning control. A sufficient condition for convergence of the learning controller is given and it is noted that this condition is the same as for the open-loop learning control problem. However, the rate of convergence is shown to be improved in the closed- loop strategy. The performance of the scheme is illustrated via simulation of the tracking control of a two-link manipulator.
reviewed by: Kevin L. Moore
Mathematics Subject Classification ID: 93B52
Mathematics Subject Classification ID: 93B40
Mathematics Subject Classification ID: 93C10
zbMATH DE Number: 758488
zbMATH Keywords: iterative learning control
zbMATH Keywords: tracking
zbMATH Keywords: nonlinear
zbMATH Keywords: convergence
MaRDI profile type: Publication
cites work: Iterative learning control for a class of nonlinear systems
cites work: Nonlinear control systems: An introduction
cites work: An iterative learning control theory for a class of nonlinear dynamic systems
full work available at URL: 0005-1098(94)00064-p
OpenAlex ID: W1972193505
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description: scientific article; zbMATH DE number 758488