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
Link To Document :
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