Iterative weighted least-squares identification and weighted LQG control design
type: Item
instance of: scholarly article
title: Iterative weighted least-squares identification and weighted LQG control design
zbMATH Open document ID: 0845.93026
DOI: 10.1016/0005-1098(95)00082-8
author: Michel Gevers
author: Zhu Quan Zang
author: Robert R. Bitmead
published in: Automatica
publication date: 1996-02-13T00:00:00Z
review text: An adaptive control scheme is proposed based on iterative least squares identification in closed loop followed by a linear-quadratic Gaussian control design. The procedure takes modelling error into account during controller design and uses the closed loop controller requirements for determining the identification criterion. This is achieved for an \(H_2\) control problem by appropriate weighting of the least squares identification and LQG design problems. A simulation example is presented.
reviewed by: Edward Boje
Mathematics Subject Classification ID: 93B51
Mathematics Subject Classification ID: 93B30
Mathematics Subject Classification ID: 93E20
zbMATH DE Number: 836515
zbMATH Keywords: adaptive control
zbMATH Keywords: iterative least squares
zbMATH Keywords: identification in closed loop
zbMATH Keywords: linear-quadratic Gaussian
zbMATH Keywords: design
MaRDI profile type: Publication
full work available at URL: 0005-1098(95)00082-8
OpenAlex ID: W2009543588
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description: scientific article; zbMATH DE number 836515