High-order feedback iterative learning control algorithm with forgetting factor
type: Item
instance of: scholarly article
title: High-order feedback iterative learning control algorithm with forgetting factor
zbMATH Open document ID: 1394.93195
DOI: 10.1155/2015/826409
author: Hongbin Wang
author: Jian Dong
author: Yueling Wang
published in: Mathematical Problems in Engineering
publication date: 2018-08-27T00:00:00Z
review text: Summary: A novel iterative learning control (ILC) algorithm is proposed to produce output curves that pass close to the desired trajectory. The key advantage of the proposed algorithm is introducing forgetting factor, which is a function of the number of iterations. Due to the forgetting factor characteristic of ILC, the proposed scheme not only stabilizes the nonlinear system with uncertainties but also weakens interference on the tracking desired trajectory. Simulation examples are included to demonstrate feasibility and effectiveness of the proposed algorithm.
Mathematics Subject Classification ID: 93C73
Mathematics Subject Classification ID: 93B40
zbMATH DE Number: 6927326
Wikidata QID: Q59119577
describes a project that uses: ALINEA
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2015/826409
OpenAlex ID: W2149654968
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description: scientific article; zbMATH DE number 6927326