Model-free adaptive control algorithm with data dropout compensation
type: Item
instance of: scholarly article
title: Model-free adaptive control algorithm with data dropout compensation
zbMATH Open document ID: 1264.93142
DOI: 10.1155/2012/329186
author: Xuhui Bu
author: Fashan Yu
author: Zhongsheng Hou
author: Hongwei Zhang
published in: Mathematical Problems in Engineering
publication date: 2013-06-11T00:00:00Z
review text: Summary: The convergence of model-free adaptive control (MFAC) algorithm can be guaranteed when the system is subject to measurement data dropout. The system output convergent speed gets slower as dropout rate increases. This paper proposes a MFAC algorithm with data compensation. The missing data is first estimated using the dynamical linearization method, and then the estimated value is introduced to update control input. The convergence analysis of the proposed MFAC algorithm is given, and the effectiveness is also validated by simulations. It is shown that the proposed algorithm can compensate the effect of the data dropout, and the better output performance can be obtained.
Mathematics Subject Classification ID: 93C55
Mathematics Subject Classification ID: 93C42
zbMATH DE Number: 6173193
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2012/329186
OpenAlex ID: W1972346475
Wikidata QID: Q58911440
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description: scientific article; zbMATH DE number 6173193