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Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/jspui/handle/10054/946

Title: Constrained state estimation using the ensemble Kalman filter
Authors: PRAKASH, J
PATWARDHAN, SC
SHAH, SIRISH L
Keywords: kalman filters
nonlinear dynamical system
recursive estimation
state estimation
Issue Date: 2008
Publisher: IEEE
Citation: Proceedings of the American Control Conference, Seattle, USA, 11-13 June 2008, 3542-3547
Abstract: Recursive estimation of constrained nonlinear dynamical systems has attracted the attention of many researchers in recent years. In this work, we propose a constrained recursive formulation of the ensemble Kalman filter (CEnKF) that retains the advantages of unconstrained Ensemble Kalman Filter while systematically dealing with bounds on the estimated states. The efficacy of the proposed constrained state estimation algorithm using the EnKF is illustrated by application on a simulated gas-phase reactor problem.
URI: 10.1109/ACC.2008.4587042
http://hdl.handle.net/10054/946
http://dspace.library.iitb.ac.in/xmlui/handle/10054/946
ISBN: 978-1-4244-2078-0
Appears in Collections:Proceedings papers

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