@inproceedings{oai:jaxa.repo.nii.ac.jp:00004759,
 author = {秋田, 剛 and 高木, 亮治 and 嶋, 英志 and 石村, 康生 and Akita, Takeshi and Takaki, Ryoji and Shima, Eiji and Ishimura, Kosei},
 book = {宇宙航空研究開発機構特別資料: 第42回流体力学講演会/航空宇宙数値シミュレーション技術シンポジウム2010 論文集, JAXA Special Publication: Proceedings of 42nd Fluid Dynamics Conference / Aerospace Numerical Simulation Symposium 2010},
 month = {Feb},
 note = {第42回流体力学講演会/航空宇宙数値シミュレーション技術シンポジウム2010 (2010年6月24日-25日. 米子コンベンションセンター BiG SHiP), 42nd Fluid Dynamics Conference / Aerospace Numerical Simulation Symposium 2010 (June 24-25,  2010. Yonago Convention Center BiG SHiP), Yonago, Tottori Japan, An effective adaptive estimation method of spacecraft thermal mathematical models that can constantly identify uncertain thermal characteristic parameters by using observation data on orbit is presented. In our method, we utilize an ensemble Kalman filtering technique to update the thermal mathematical model continuously at each observation time step. In this procedure, the thermal characteristic parameters are automatically estimated as the outputs of the filtered state variables, whereas, in the usual thermal model correlation, they are manually identified by experienced engineers using try-and-error approach which could be time consuming. A simple experiment is provided to verify the effectiveness of the presented method., 形態: カラー図版あり, Physical characteristics: Original contains color illustrations, 資料番号: AA0064967052, レポート番号: JAXA-SP-10-012},
 publisher = {宇宙航空研究開発機構, Japan Aerospace Exploration Agency (JAXA)},
 title = {アンサンブルカルマンフィルタの適応型熱解析への適用},
 volume = {JAXA-SP-10-012},
 year = {2011}
}