ダウンロード数: 25
このアイテムのファイル:
ファイル | 記述 | サイズ | フォーマット | |
---|---|---|---|---|
mfeku_39_1_148.pdf | 1.02 MB | Adobe PDF | 見る/開く |
完全メタデータレコード
DCフィールド | 値 | 言語 |
---|---|---|
dc.contributor.author | KATAYAMA, Tohru | en |
dc.contributor.author | AKIMOTO, Keiichi | en |
dc.contributor.author | SAWARAGI, Yoshikazu | en |
dc.date.accessioned | 2023-03-28T09:07:02Z | - |
dc.date.available | 2023-03-28T09:07:02Z | - |
dc.date.issued | 1977-03-31 | - |
dc.identifier.uri | http://hdl.handle.net/2433/281026 | - |
dc.description.abstract | A maximum likelihood (ML) method is applied to a boiler system identification. The mathematical model used in this paper is a discrete-time, singleinput and single-output (SISO), constant, linear system excited by an “innovation” process. Since the ML identification is reduced to a nonlinear optimization problem with equality constraints, the Davidon's conjugate gradient method is employed for numerical solutions. By using the given input/output data, the dynamics of the governor/steam pressure and the governor/steam temperature relations are identified as an SISO system, respectively. AIC and a test based on the innovation process are also applied for selecting an appropriate order of the assumed model. | en |
dc.language.iso | eng | - |
dc.publisher | Faculty of Engineering, Kyoto University | en |
dc.publisher.alternative | 京都大学工学部 | ja |
dc.subject.ndc | 500 | - |
dc.title | Application of Maximum Likelihood Method to Boiler System Identification | en |
dc.type | departmental bulletin paper | - |
dc.type.niitype | Departmental Bulletin Paper | - |
dc.identifier.ncid | AA00732503 | - |
dc.identifier.jtitle | Memoirs of the Faculty of Engineering, Kyoto University | en |
dc.identifier.volume | 39 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | 148 | - |
dc.identifier.epage | 167 | - |
dc.textversion | publisher | - |
dc.sortkey | 11 | - |
dc.address | Department of Applied Mathematics and Physics | en |
dc.address | Present Address: The Kawasaki Steel Industry | en |
dc.address | Present Address: The Kawasaki Steel Industry | en |
dcterms.accessRights | open access | - |
dc.identifier.pissn | 0023-6063 | - |
出現コレクション: | Vol.39 Part 1 |
![](/dspace/image/articlelinker.gif)
このリポジトリに保管されているアイテムはすべて著作権により保護されています。