The problem of set-membership state estimation for a discrete-time linear system with linear state equality constraints is considered. A model reduction based set-membership state estimation recursive algorithm is proposed. The proposed algorithm can reduce the conservativeness of an existing full space estimation method, enhance the numerical stability, and further reduce the computational load. Two simulation examples are shown to verify the estimation performance of the algorithm.


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    Title :

    Model Reduction Based Set-Membership Filtering with Linear State Equality Constraints


    Contributors:
    Hao Wu, (author) / Wei Wang, (author) / Hao Ye, (author)


    Publication date :

    2013-04-01


    Size :

    1222915 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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