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- NOURI-SHIRAZI Mehdi
- Systems Development Laboratory, Hitachi, Ltd.
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- SANNOMIYA Nobuo
- Kyoto Institute of Technology
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- NISHIKAWA Yoshikazu
- Faculty of Engineering, Kyoto University
書誌事項
- タイトル別名
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- Comparison of Different Approaches to t
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In this paper we consider the state estimation problem of a discretetime linear stochastic system for a fairly general case where both the system disturbance and the observation noise are nearly Gaussian. First, the techniques developed hitherto are introduced for special cases where either the system disturbance or the observation noise is nearly Gaussian while the other one is Gaussian. Secondly, two possible filtering approaches are proposed for the general case by extending the filters constructed for the special cases. The performances of various approximate filters are compared with that of the Gaussian sum filter through Monte-Carlo simulations. A discussion is made on reducing on-line computational difficulties in the nearly Gaussian filtering.
収録刊行物
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- 計測自動制御学会論文集
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計測自動制御学会論文集 23 (7), 684-691, 1987
公益社団法人 計測自動制御学会
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詳細情報 詳細情報について
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- CRID
- 1390282679480624896
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- NII論文ID
- 130003969413
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- NII書誌ID
- AN00072392
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- ISSN
- 18838189
- 04534654
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- NDL書誌ID
- 3137850
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- NDL
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- CiNii Articles
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- 使用不可