An LMI approach to discrete-time observer design with stochastic resilience
type: Item
instance of: scholarly article
title: An LMI approach to discrete-time observer design with stochastic resilience
zbMATH Open document ID: 1108.93026
author: Edwin Engin Yaz
author: Chung Seop Jeong
author: Yvonne Ilke Yaz
published in: Journal of Computational and Applied Mathematics
publication date: 2006-03-16T00:00:00Z
review text: It is known that even vanishingly small perturbations in control coefficients may destabilize the closed-loop system. Such behavior may caused by stochastic disturbances, when the observer gain is randomly perturbed, may be due to computation errors. The focus of the paper is the non-fragile or resilient controller design for discrete-time systems basing on a linear matrix inequality approach, using the Schur's result.
reviewed by: Yuri N. Sankin
Mathematics Subject Classification ID: 93B07
Mathematics Subject Classification ID: 93B40
Mathematics Subject Classification ID: 93C55
Mathematics Subject Classification ID: 93C73
Mathematics Subject Classification ID: 93E03
zbMATH DE Number: 5012888
zbMATH Keywords: Discrete-time Luenberger observer
zbMATH Keywords: Resilience
zbMATH Keywords: Stochastic solution
zbMATH Keywords: Matrix inequality approach
MaRDI profile type: Publication
full work available at URL: j.cam.2005.04.016
OpenAlex ID: W2022468931
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DOI: 10.1016/J.CAM.2005.04.016
description: scientific article; zbMATH DE number 5012888