This paper presents a novel integrated navigation algorithm based on the fuzzy adaptive H∞ 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 λ in H∞ robust filter, a fuzzy inference system is designed to choose λ 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.


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    Title :

    Research on Fuzzy Adaptive H∞ Robust Filter for Integrated Navigation System


    Contributors:
    Jiang, Liu (author) / Jian, Wang (author) / Bai-gen, Cai (author)


    Publication date :

    2008-10-01


    Size :

    329537 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English