Itô-Taylor-based square-root unscented Kalman filtering methods for state estimation in nonlinear continuous-discrete stochastic systems
type: Item
instance of: scholarly article
title: Itô-Taylor-based square-root unscented Kalman filtering methods for state estimation in nonlinear continuous-discrete stochastic systems
zbMATH Open document ID: 1458.93251
author: Yanyan Li
published in: European Journal of Control
publication date: 2021-02-25T00:00:00Z
Mathematics Subject Classification ID: 93E11
Mathematics Subject Classification ID: 93C55
Mathematics Subject Classification ID: 93C10
zbMATH DE Number: 7315782
zbMATH Keywords: continuous-discrete nonlinear stochastic model
zbMATH Keywords: discrete-discrete unscented Kalman filter
zbMATH Keywords: orthogonal and \(J\)-orthogonal square-root implementations
zbMATH Keywords: radar tracking
zbMATH Keywords: turning aircraft scenario with ill-conditioned measurements
MaRDI profile type: Publication
full work available at URL: j.ejcon.2020.07.003
OpenAlex ID: W3043306580
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DOI: 10.1016/J.EJCON.2020.07.003
description: scientific article; zbMATH DE number 7315782