Modified Newton method based iterative learning control design for discrete nonlinear systems with constraints
type: Item
instance of: scholarly article
title: Modified Newton method based iterative learning control design for discrete nonlinear systems with constraints
zbMATH Open document ID: 1402.93135
author: Hongfeng Tao
author: Wojciech Paszke
author: Eric Rogers
author: Krzysztof Gałkowski
author: Huizhong Yang
published in: Systems \& Control Letters
publication date: 2018-11-16T00:00:00Z
full work available at URL: sclplan.pdf
Mathematics Subject Classification ID: 93C10
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 93B40
Mathematics Subject Classification ID: 93C55
zbMATH DE Number: 6980514
zbMATH Keywords: iterative learning control
zbMATH Keywords: modified Newton method
zbMATH Keywords: discrete nonlinear systems
zbMATH Keywords: constrained optimization
MaRDI profile type: Publication
OpenAlex ID: W2807984259
cites work: Combined inverse and gradient iterative learning control: performance, monotonicity, robustness and non‐minimum‐phase zeros
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cites work: Newton method based iterative learning control for discrete non-linear systems
cites work: Q5652137
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Wikidata QID: Q129700039
DOI: 10.1016/J.SYSCONLE.2018.05.007
description: scientific article; zbMATH DE number 6980514