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Iterated stochastic filters with additive updates for dynamic system identification: Annealing-type iterations and the filter bank

Raveendran, Tara and Roy, Debasish and Vasu, Ram Mohan (2014) Iterated stochastic filters with additive updates for dynamic system identification: Annealing-type iterations and the filter bank. In: PROBABILISTIC ENGINEERING MECHANICS, 38 (SI). pp. 77-87.

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Official URL: http://dx.doi.org/ 10.1016/j.probengmech.2014.09.0...

Abstract

A nonlinear stochastic filtering scheme based on a Gaussian sum representation of the filtering density and an annealing-type iterative update, which is additive and uses an artificial diffusion parameter, is proposed. The additive nature of the update relieves the problem of weight collapse often encountered with filters employing weighted particle based empirical approximation to the filtering density. The proposed Monte Carlo filter bank conforms in structure to the parent nonlinear filtering (Kushner-Stratonovich) equation and possesses excellent mixing properties enabling adequate exploration of the phase space of the state vector. The performance of the filter bank, presently assessed against a few carefully chosen numerical examples, provide ample evidence of its remarkable performance in terms of filter convergence and estimation accuracy vis-a-vis most other competing filters especially in higher dimensional dynamic system identification problems including cases that may demand estimating relatively minor variations in the parameter values from their reference states. (C) 2014 Elsevier Ltd. All rights reserved.

Item Type: Journal Article
Additional Information: Copy right for this article belongs to the ELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
Keywords: Stochastic filtering; Iterated additive update; Ensemble square root filter; Gaussian sum approximation; Kushner-Stratonovich equation; Dynamic system identification
Department/Centre: Division of Mechanical Sciences > Civil Engineering
Division of Physical & Mathematical Sciences > Instrumentation Appiled Physics
Depositing User: Id for Latest eprints
Date Deposited: 04 Mar 2015 12:26
Last Modified: 04 Mar 2015 12:26
URI: http://eprints.iisc.ac.in/id/eprint/50970

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