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THE SMOOTH PARTICLE VARIABLE STRUCTURE FILTER
Journal article

THE SMOOTH PARTICLE VARIABLE STRUCTURE FILTER

Abstract

In this paper, a new state and parameter estimation method is introduced based on the particle filter (PF) and the smooth variable structure filter (SVSF). The PF is a popular estimation method, which makes use of distributed point masses to form an approximation of the probability distribution function (PDF). The SVSF is a relatively new estimation strategy based on sliding mode concepts, formulated in a predictor-corrector format. It has been …

Authors

Gadsden SA; Habibi SR; Kirubarajan T

Journal

Transactions of the Canadian Society for Mechanical Engineering, Vol. 36, No. 2, pp. 177–193

Publisher

Canadian Science Publishing

Publication Date

June 2012

DOI

10.1139/tcsme-2012-0013

ISSN

0315-8977