A data-driven adaptive ILC for a class of nonlinear discrete-time systems with random initial states and iteration-varying target trajectory
type: Item
instance of: scholarly article
title: A data-driven adaptive ILC for a class of nonlinear discrete-time systems with random initial states and iteration-varying target trajectory
zbMATH Open document ID: 1395.93292
author: Ronghu Chi
author: Zhongsheng Hou
author: Shangtai Jin
published in: Journal of the Franklin Institute
publication date: 2018-08-16T00:00:00Z
Mathematics Subject Classification ID: 93C40
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 93C10
Mathematics Subject Classification ID: 93C55
Mathematics Subject Classification ID: 93B18
Mathematics Subject Classification ID: 93B52
Mathematics Subject Classification ID: 93B15
zbMATH DE Number: 6918906
zbMATH Keywords: data-driven adaptive ILC
zbMATH Keywords: nonlinear discrete-time systems
zbMATH Keywords: feedback
MaRDI profile type: Publication
full work available at URL: j.jfranklin.2015.03.014
OpenAlex ID: W1999506268
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DOI: 10.1016/J.JFRANKLIN.2015.03.014
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description: scientific article; zbMATH DE number 6918906