Model reduction and controller synthesis in the presence of parameter uncertainty
type: Item
instance of: scholarly article
title: Model reduction and controller synthesis in the presence of parameter uncertainty
zbMATH Open document ID: 0591.93054
DOI: 10.1016/0005-1098(86)90028-2
author: D. A. Wagie
author: Robert E. Skelton
published in: Automatica
publication date: 1986-01-01T00:00:00Z
review text: A system reduction theory based on matching output covariances and Markov parameters can be used to obtain reduced-order models that still contain parameter sensitivity information from the full order sensitivity model, and reduced-order controllers whose closed-loop performance is desensitized to variations in uncertain model parameters.
Mathematics Subject Classification ID: 93E03
Mathematics Subject Classification ID: 93B35
Mathematics Subject Classification ID: 93E20
Mathematics Subject Classification ID: 62J10
Mathematics Subject Classification ID: 93B50
Mathematics Subject Classification ID: 93C35
Mathematics Subject Classification ID: 93C05
zbMATH DE Number: 3950337
zbMATH Keywords: system reduction
zbMATH Keywords: parameter sensitivity
zbMATH Keywords: reduced-order controllers
zbMATH Keywords: uncertain model parameters
reviewed by: K. H. Wickwire
MaRDI profile type: Publication
full work available at URL: 0005-1098(86)90028-2
OpenAlex ID: W2026233290
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description: scientific article; zbMATH DE number 3950337