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

Ping Li; Roger Goodall; Visakan Kadirkamanathan

doi:10.23919/ECC.2003.7085323

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 proceeding › Conference contribution › peer-review

46 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 language	English
Title of host publication	European Control Conference, ECC 2003
Publisher	IEEE
Pages	2384-2389
Number of pages	6
ISBN (Print)	9783952417379
DOIs	https://doi.org/10.23919/ECC.2003.7085323
Publication status	Published - 2003
Externally published	Yes
Event	2003 European Control Conference - Cambridge, United Kingdom Duration: 1 Sep 2003 → 4 Sep 2003

Conference

Conference	2003 European Control Conference
Abbreviated title	ECC 2003
Country/Territory	United Kingdom
City	Cambridge
Period	1/09/03 → 4/09/03

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10.23919/ECC.2003.7085323Licence: Unspecified

Cite this

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title = "Parameter Estimation of Railway Vehicle Dynamic Model Using Rao-Blackwellised Particle Filter",

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.",

keywords = "Extended Kalman filter, Parameter estimation, Particle filter, Vehicle dynamic model",

author = "Ping Li and Roger Goodall and Visakan Kadirkamanathan",

year = "2003",

doi = "10.23919/ECC.2003.7085323",

language = "English",

isbn = "9783952417379",

pages = "2384--2389",

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publisher = "IEEE",

address = "United States",

note = "2003 European Control Conference, ECC 2003 ; Conference date: 01-09-2003 Through 04-09-2003",

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TY - GEN

T1 - Parameter Estimation of Railway Vehicle Dynamic Model Using Rao-Blackwellised Particle Filter

AU - Li, Ping

AU - Goodall, Roger

AU - Kadirkamanathan, Visakan

PY - 2003

Y1 - 2003

N2 - 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.

AB - 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.

KW - Extended Kalman filter

KW - Parameter estimation

KW - Particle filter

KW - Vehicle dynamic model

UR - http://www.scopus.com/inward/record.url?scp=84949102607&partnerID=8YFLogxK

U2 - 10.23919/ECC.2003.7085323

DO - 10.23919/ECC.2003.7085323

M3 - Conference contribution

AN - SCOPUS:84949102607

SN - 9783952417379

SP - 2384

EP - 2389

BT - European Control Conference, ECC 2003

PB - IEEE

T2 - 2003 European Control Conference

Y2 - 1 September 2003 through 4 September 2003

ER -

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

Abstract

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