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State Estimation of Impregnated Sheet Substrates in a Drying Oven
https://nuis.repo.nii.ac.jp/records/2636
https://nuis.repo.nii.ac.jp/records/263671d18da7-5815-4d20-87ec-2a799af936d9
名前 / ファイル | ライセンス | アクション |
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17_shirai.pdf (4.2 MB)
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Item type | 紀要論文 / Departmental Bulletin Paper(1) | |||||
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公開日 | 2014-04-17 | |||||
タイトル | ||||||
タイトル | State Estimation of Impregnated Sheet Substrates in a Drying Oven | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | State Estimation of Impregnated Sheet Substrates in a Drying Oven | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | stochastic partial diffusion equation | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | optimal filter | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | eigenvalue problem | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | drying oven | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | impregnating solvent | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | stochastic partial diffusion equation | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | optimal filter | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | eigenvalue problem | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | drying oven | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | impregnating solvent | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | departmental bulletin paper | |||||
著者 |
Shirai, Kenji
× Shirai, Kenji× Amano, Yoshinori× Shirai, Kenji× Amano, Yoshinori |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | We have previously reported that a control system configuration can be designed for adrying oven using a mathematical state model, which we described using a transfer function witha quadratic time delay. Herein, a one-dimensional advection-diffusion equation (ODAE), in whichthe object model has a constant velocity v, defines the state of the drying oven in the targetsystem.The measurement of true state quantity is difficult for such a model. Therefore, we proposethat the state estimation of such a model subjected to state-dependent noise is possible usingoptimal filter theory based on functional analysis. For state-independent noise, we can use theKalman filter for conventional state estimation. | |||||
書誌情報 |
新潟国際情報大学情報文化学部紀要 巻 17, p. 131-145, 発行日 2014-04-01 |
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出版者 | ||||||
出版者 | 新潟国際情報大学情報文化学部 | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 1343-490X | |||||
NCID | ||||||
収録物識別子タイプ | NCID | |||||
収録物識別子 | AA11231962 | |||||
著者版フラグ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 |