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摘要:To deal with the estimation problem for systems subject to constraints while the corresponding noise processes are not completely known,the adaptive constraint-filtering method is proposed in this paper.The constraint-filtering method developed previously can accommodate the constraint in the filtering process for a nonlinear dynamic system.However,the assumption that the modeling noise and the sensor noise are known may not be practical.Here,we use the fuzzy innovation adaptive estimation(FIAE) approach to deal with the unknown noise processes,and use the fading-memory method to tackle the modeling errors.The synthesized algorithm is then applied to solve the ill-conditioned GPS positioning problem.It is shown by the experimental results that the proposed algorithm can enhance the accuracy significantly.
会议名称:

Joint 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference

会议时间:

2009-12-16

会议地点:

中国上海

  • 专辑:

    基础科学; 信息科技

  • 专题:

    自然地理学和测绘学; 无线电电子学

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    P228.4;TN713

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