New estimation method based on genetic algorithm and its application to control of moving train

Seong Keun Park, Jae Phil Hwang, Kyung Jin Rou, Eun Tai Kim, Min Yong Park

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

2 Citations (Scopus)

Abstract

A particle filter deals with the state estimation problem for not only linear models with Gaussian noise but also for the non-linear models with non-Gaussian noise and receives great attention from many engineering fields. In the implementation of the particle filter, a resampling scheme is used to decrease the degeneracy phenomenon and improve estimation performance. Unfortunately, however, it comes out at the cost of the undesired the particle deprivation problem. In order to overcome this problem of the particle filter, we propose a novel filtering method called the genetic filter. Then the proposed filter, we embed the genetic algorithm into the particle filter and overcome the problems of particle filter. . Finally, the genetic filter is applied to the estimation problem of a moving train and its effectiveness is illustrated through computer simulation.

Original languageEnglish
Title of host publication2006 SICE-ICASE International Joint Conference
Pages3156-3159
Number of pages4
DOIs
Publication statusPublished - 2006 Dec 1
Event2006 SICE-ICASE International Joint Conference - Busan, Korea, Republic of
Duration: 2006 Oct 182006 Oct 21

Publication series

Name2006 SICE-ICASE International Joint Conference

Other

Other2006 SICE-ICASE International Joint Conference
CountryKorea, Republic of
CityBusan
Period06/10/1806/10/21

Fingerprint

Genetic algorithms
State estimation
Computer simulation

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Park, S. K., Hwang, J. P., Rou, K. J., Kim, E. T., & Park, M. Y. (2006). New estimation method based on genetic algorithm and its application to control of moving train. In 2006 SICE-ICASE International Joint Conference (pp. 3156-3159). [4108188] (2006 SICE-ICASE International Joint Conference). https://doi.org/10.1109/SICE.2006.314824
Park, Seong Keun ; Hwang, Jae Phil ; Rou, Kyung Jin ; Kim, Eun Tai ; Park, Min Yong. / New estimation method based on genetic algorithm and its application to control of moving train. 2006 SICE-ICASE International Joint Conference. 2006. pp. 3156-3159 (2006 SICE-ICASE International Joint Conference).
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Park, SK, Hwang, JP, Rou, KJ, Kim, ET & Park, MY 2006, New estimation method based on genetic algorithm and its application to control of moving train. in 2006 SICE-ICASE International Joint Conference., 4108188, 2006 SICE-ICASE International Joint Conference, pp. 3156-3159, 2006 SICE-ICASE International Joint Conference, Busan, Korea, Republic of, 06/10/18. https://doi.org/10.1109/SICE.2006.314824

New estimation method based on genetic algorithm and its application to control of moving train. / Park, Seong Keun; Hwang, Jae Phil; Rou, Kyung Jin; Kim, Eun Tai; Park, Min Yong.

2006 SICE-ICASE International Joint Conference. 2006. p. 3156-3159 4108188 (2006 SICE-ICASE International Joint Conference).

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

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Park SK, Hwang JP, Rou KJ, Kim ET, Park MY. New estimation method based on genetic algorithm and its application to control of moving train. In 2006 SICE-ICASE International Joint Conference. 2006. p. 3156-3159. 4108188. (2006 SICE-ICASE International Joint Conference). https://doi.org/10.1109/SICE.2006.314824