Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/3810
Title: The unscented filter as an alternative to the EKF for nonlinear state estimation: a simulation case study
Authors: Romanenko, Andrei 
Castro, José A. A. M. 
Keywords: Nonlinear dynamics; Mathematical modeling; Simulation; Nonlinear state estimation; Extended Kalman filter; Unscented filter
Issue Date: 2004
Citation: Computers & Chemical Engineering. 28:3 (2004) 347-355
Abstract: The Kalman filter has been widely used for estimation and tracking of linear systems since its formulation in 1960 due to its simplicity and robustness. In many chemical engineering applications the extended Kalman filter (EKF) is often used to deal with certain classes of nonlinear systems. In spite of that, designing an EKF for highly nonlinear processes is not a trivial task, particularly those involving highly exothermic reactions. In this work we compared the performance of a new technique, the unscented filter, with that of the extended Kalman filter. The unscented filter produced better results without performing potentially ill-conditioned numerical calculations and linearly approximating the evolution of the state vector covariance.
URI: http://hdl.handle.net/10316/3810
DOI: 10.1016/S0098-1354(03)00193-5
Rights: openAccess
Appears in Collections:FCTUC Eng.Química - Artigos em Revistas Internacionais

Files in This Item:
File Description SizeFormat
file13f2625d59044dce9ab414d84f2e8d21.pdf414.57 kBAdobe PDFView/Open
Show full item record

WEB OF SCIENCETM
Citations

119
checked on Aug 2, 2022

Page view(s) 50

377
checked on Aug 11, 2022

Download(s) 50

736
checked on Aug 11, 2022

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.