Title :
Parameter estimation of railway vehicle dynamic model using rao-blackwellised particle filter
Author :
Li, Ping ; Goodall, Roger ; Kadirkamanathan, Visakan
Author_Institution :
Department of Electronic and Electrical Engineering, Loughborough University, UK
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 :
Estimation; Mathematical model; Parameter estimation; Particle filters; Rail transportation; Vehicle dynamics; Vehicles; Extended Kalman filter; Parameter estimation; Particle filter; Vehicle dynamic model;
Conference_Titel :
European Control Conference (ECC), 2003
Conference_Location :
Cambridge, UK
Print_ISBN :
978-3-9524173-7-9
