Parameter Estimation of Railway Vehicle Dynamic Model Using Rao-Blackwellised Particle Filter

Ping Li, Roger Goodall, Visakan Kadirkamanathan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

34 Citations (Scopus)

Abstract

This paper presents the development of a new method for parameter estimation in linear state space model. The proposed method is based on a Rao-Blackwellised particle filter. The simulation results with a railway vehicle dynamic model are provided which demonstrate the effectiveness of the proposed method in comparison with the conventional EKF-based method.

Original languageEnglish
Title of host publicationEuropean Control Conference, ECC 2003
PublisherIEEE
Pages2384-2389
Number of pages6
ISBN (Print)9783952417379
DOIs
Publication statusPublished - 2003
Externally publishedYes
Event2003 European Control Conference - Cambridge, United Kingdom
Duration: 1 Sep 20034 Sep 2003

Conference

Conference2003 European Control Conference
Abbreviated titleECC 2003
CountryUnited Kingdom
CityCambridge
Period1/09/034/09/03

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  • Cite this

    Li, P., Goodall, R., & Kadirkamanathan, V. (2003). Parameter Estimation of Railway Vehicle Dynamic Model Using Rao-Blackwellised Particle Filter. In European Control Conference, ECC 2003 (pp. 2384-2389). [7085323] IEEE. https://doi.org/10.23919/ECC.2003.7085323