DocumentCode
2121934
Title
Research on Fuzzy Adaptive H∞ Robust Filter for Integrated Navigation System
Author
Jiang, Liu ; Jian, Wang ; Bai-gen, Cai
Author_Institution
State Key Lab. of Rail Traffic Control & Safety, Beijing Jiaotong Univ., Beijing
fYear
2008
fDate
12-15 Oct. 2008
Firstpage
912
Lastpage
916
Abstract
This paper presents a novel integrated navigation algorithm based on the fuzzy adaptive Hinfin robust filter. By monitoring covariance between abstract and actual residual error, the definition of filtering performance factor is given. Based on the relationship between filtering performance factor, attenuation level and the parameter gamma in Hinfin robust filter, a fuzzy inference system is designed to choose gamma suitably and adaptively, so that there could be a balance between filtering accuracy and robustness performance accordingly. Analysis with practical train integrated navigation data validates the performance and practical value of the proposed algorithm.
Keywords
Hinfin control; adaptive control; adaptive filters; fuzzy control; inference mechanisms; navigation; transportation; filtering performance factor; fuzzy adaptive H infinity robust filter; fuzzy inference system; integrated navigation algorithm; integrated navigation system; Adaptive filters; Algorithm design and analysis; Attenuation; Filtering; Fuzzy systems; Inference algorithms; Monitoring; Navigation; Performance analysis; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Transportation Systems, 2008. ITSC 2008. 11th International IEEE Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-2111-4
Electronic_ISBN
978-1-4244-2112-1
Type
conf
DOI
10.1109/ITSC.2008.4732653
Filename
4732653
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