Feedback gain optimization in decentralized eigenvalue assignment
type: Item
instance of: scholarly article
title: Feedback gain optimization in decentralized eigenvalue assignment
zbMATH Open document ID: 0599.93019
DOI: 10.1016/0005-1098(86)90048-8
author: Dale R. Sebok
author: Stephen Richter
author: Raymond A. DeCarlo
published in: Automatica
publication date: 1986-01-01T00:00:00Z
review text: A new design procedure for minimizing the norm of a decentralized output feedback matrix which assigns a desired set of eigenvalues is developed. This is done by transforming a non-optimal feedback into an optimal one with respect to the norm of the feedback matrix by means of an iterative process. Numerical considerations for the design procedure are discussed. An example illustrating the design procedure is given.
reviewed by: Tadeusz Kaczorek
Mathematics Subject Classification ID: 93B55
Mathematics Subject Classification ID: 93A15
Mathematics Subject Classification ID: 93B40
Mathematics Subject Classification ID: 15A18
Mathematics Subject Classification ID: 65K10
zbMATH DE Number: 3968441
zbMATH Keywords: eigenvalue assignment
zbMATH Keywords: design
zbMATH Keywords: decentralized output feedback
zbMATH Keywords: iterative process
describes a project that uses: IMSL Numerical Libraries
MaRDI profile type: Publication
full work available at URL: 0005-1098(86)90048-8
OpenAlex ID: W1965236815
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description: scientific article; zbMATH DE number 3968441