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A scaled unscented transformation based directed Gaussian sum filter for nonlinear dynamic system identification

Raveendran, Tara and Roy, Debasish and Vasu, Ram Mohan (2013) A scaled unscented transformation based directed Gaussian sum filter for nonlinear dynamic system identification. In: PROBABILISTIC ENGINEERING MECHANICS, 34 . pp. 83-90.

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Official URL: http://dx.doi.org/10.1016/j.probengmech.2013.06.00...

Abstract

Impoverishment of particles, i.e. the discretely simulated sample paths of the process dynamics, poses a major obstacle in employing the particle filters for large dimensional nonlinear system identification. A known route of alleviating this impoverishment, i.e. of using an exponentially increasing ensemble size vis-a-vis the system dimension, remains computationally infeasible in most cases of practical importance. In this work, we explore the possibility of unscented transformation on Gaussian random variables, as incorporated within a scaled Gaussian sum stochastic filter, as a means of applying the nonlinear stochastic filtering theory to higher dimensional structural system identification problems. As an additional strategy to reconcile the evolving process dynamics with the observation history, the proposed filtering scheme also modifies the process model via the incorporation of gain-weighted innovation terms. The reported numerical work on the identification of structural dynamic models of dimension up to 100 is indicative of the potential of the proposed filter in realizing the stated aim of successfully treating relatively larger dimensional filtering problems. (C) 2013 Elsevier Ltd. All rights reserved.

Item Type: Journal Article
Additional Information: Copyright for this article belongs to ELSEVIER SCI LTD,ENGLAND
Keywords: Unscented transformation; Gaussian sum filter; Directed filter; Gain-weighted innovation; Structural 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: 13 Jan 2014 06:30
Last Modified: 13 Jan 2014 06:30
URI: http://eprints.iisc.ac.in/id/eprint/48184

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