An integrated data-driven Markov parameters sequence identification and adaptive dynamic programming method to design fault-tolerant optimal tracking control for completely unknown model systems
type: Item
instance of: scholarly article
title: An integrated data-driven Markov parameters sequence identification and adaptive dynamic programming method to design fault-tolerant optimal tracking control for completely unknown model systems
zbMATH Open document ID: 1395.93295
author: Kezhen Han
author: Jian Feng
author: Yu Yao
published in: Journal of the Franklin Institute
publication date: 2018-08-16T00:00:00Z
Mathematics Subject Classification ID: 93C40
Mathematics Subject Classification ID: 93C41
Mathematics Subject Classification ID: 93E12
Mathematics Subject Classification ID: 90C39
Mathematics Subject Classification ID: 93B17
Mathematics Subject Classification ID: 93B51
zbMATH DE Number: 6919453
zbMATH Keywords: Markov parameters sequence identification
zbMATH Keywords: adaptive dynamic programming
zbMATH Keywords: fault-tolerant optimal tracking control design
zbMATH Keywords: completely unknown model systems
MaRDI profile type: Publication
full work available at URL: j.jfranklin.2017.06.017
OpenAlex ID: W2725714089
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DOI: 10.1016/J.JFRANKLIN.2017.06.017
description: scientific article; zbMATH DE number 6919453