WEKO3
アイテム
{"_buckets": {"deposit": "e11fe1fe-b6da-46df-89c9-6c8cd3f2f012"}, "_deposit": {"created_by": 3, "id": "150", "owners": [3], "pid": {"revision_id": 0, "type": "depid", "value": "150"}, "status": "published"}, "_oai": {"id": "oai:metro-cit.repo.nii.ac.jp:00000150", "sets": ["21"]}, "author_link": ["840", "622", "1146", "950", "841", "1074"], "item_1_biblio_info_14": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2013-03", "bibliographicIssueDateType": "Issued"}, "bibliographicPageEnd": "76", "bibliographicPageStart": "72", "bibliographicVolumeNumber": "7", "bibliographic_titles": [{"bibliographic_title": "東京都立産業技術高等専門学校研究紀要"}, {"bibliographic_title": "Research reports of Tokyo Metropolitan College of Industrial Technology", "bibliographic_titleLang": "en"}]}]}, "item_1_creator_6": {"attribute_name": "著者名(日)", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "青木 , 立"}, {"creatorName": "アオキ, タツ", "creatorNameLang": "ja-Kana"}], "nameIdentifiers": [{"nameIdentifier": "840", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "川田, 誠一"}, {"creatorName": "カワタ, セイイチ", "creatorNameLang": "ja-Kana"}], "nameIdentifiers": [{"nameIdentifier": "622", "nameIdentifierScheme": "WEKO"}]}]}, "item_1_creator_7": {"attribute_name": "著者名よみ", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "アオキ, タツ"}], "nameIdentifiers": [{"nameIdentifier": "950", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "カワタ, セイイチ"}], "nameIdentifiers": [{"nameIdentifier": "1074", "nameIdentifierScheme": "WEKO"}]}]}, "item_1_creator_8": {"attribute_name": "著者名(英)", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Aoki, Tatsu", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "841", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Kawata, Seiichi", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "1146", "nameIdentifierScheme": "WEKO"}]}]}, "item_1_description_1": {"attribute_name": "ページ属性", "attribute_value_mlt": [{"subitem_description": "P(論文)", "subitem_description_type": "Other"}]}, "item_1_description_12": {"attribute_name": "抄録(英)", "attribute_value_mlt": [{"subitem_description": "There are power/size and price/cost constraints in realizing embedded mechatronic systems. In order to meetthese specifications, fixed-point microprocessors with a short word-length are suitable for control and real-time identification.From calculation time and accuracy, simple and reliable identification algorithm for fixed-point arithmetic is required.Thus, we proposed previously the simple method that estimates directly physical plant parameters by unifying MRAC anddelta form. However, the proposed method may suffer from parameter estimation errors due to measurement noise. In thispaper signal processing for identification is proposed. The principle is based on noise reduction methodology. High-passand low-pass filter are inserted for plant input and output, respectively so that the input-output relation of the plant doesnot change. Since high-frequency noise or measurement noise is reduced by low-pass filter, S/N ratio of plant output canbe increased. As an illustration, ARX models on first- and second- order systems by using recursive least squares areconsidered. Simulation results show that parameter estimation errors can be greatly reduced by the proposed method.", "subitem_description_type": "Other"}]}, "item_1_source_id_13": {"attribute_name": "雑誌書誌ID", "attribute_value_mlt": [{"subitem_source_identifier": "AA12210629", "subitem_source_identifier_type": "NCID"}]}, "item_files": {"attribute_name": "ファイル情報", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2013-03-01"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "KJ00008928159.pdf", "filesize": [{"value": "203.4 kB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_11", "mimetype": "application/pdf", "size": 203400.0, "url": {"label": "KJ00008928159", "url": "https://metro-cit.repo.nii.ac.jp/record/150/files/KJ00008928159.pdf"}, "version_id": "9bf47444-538b-4077-b2e9-002156902222"}]}, "item_keyword": {"attribute_name": "キーワード", "attribute_value_mlt": [{"subitem_subject": "System identification", "subitem_subject_language": "en", "subitem_subject_scheme": "Other"}, {"subitem_subject": "ARX model", "subitem_subject_language": "en", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Digital controller", "subitem_subject_language": "en", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Microprocessor control", "subitem_subject_language": "en", "subitem_subject_scheme": "Other"}]}, "item_language": {"attribute_name": "言語", "attribute_value_mlt": [{"subitem_language": "jpn"}]}, "item_resource_type": {"attribute_name": "資源タイプ", "attribute_value_mlt": [{"resourcetype": "departmental bulletin paper", "resourceuri": "http://purl.org/coar/resource_type/c_6501"}]}, "item_title": "ノイズリダクション手法を利用したロバストパラメータ推定-逐次最小二乗法に関する検証ー", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "ノイズリダクション手法を利用したロバストパラメータ推定-逐次最小二乗法に関する検証ー"}, {"subitem_title": "Robust Parameter Estimation by Using Noise Reduction Method\u0026#8212; The Verification on The Recursive Least Squares Method \u0026#8212;", "subitem_title_language": "en"}]}, "item_type_id": "1", "owner": "3", "path": ["21"], "permalink_uri": "https://metro-cit.repo.nii.ac.jp/records/150", "pubdate": {"attribute_name": "公開日", "attribute_value": "2013-03-01"}, "publish_date": "2013-03-01", "publish_status": "0", "recid": "150", "relation": {}, "relation_version_is_last": true, "title": ["ノイズリダクション手法を利用したロバストパラメータ推定-逐次最小二乗法に関する検証ー"], "weko_shared_id": 3}
ノイズリダクション手法を利用したロバストパラメータ推定-逐次最小二乗法に関する検証ー
https://metro-cit.repo.nii.ac.jp/records/150
https://metro-cit.repo.nii.ac.jp/records/1506e28b9ea-a8c1-4dc6-a6b4-3829156b9f27
名前 / ファイル | ライセンス | アクション |
---|---|---|
![]() |
Item type | 紀要論文(ELS) / Departmental Bulletin Paper(1) | |||||
---|---|---|---|---|---|---|
公開日 | 2013-03-01 | |||||
タイトル | ||||||
タイトル | ノイズリダクション手法を利用したロバストパラメータ推定-逐次最小二乗法に関する検証ー | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | Robust Parameter Estimation by Using Noise Reduction Method— The Verification on The Recursive Least Squares Method — | |||||
言語 | ||||||
言語 | jpn | |||||
キーワード | ||||||
言語 | en | |||||
主題 | System identification | |||||
キーワード | ||||||
言語 | en | |||||
主題 | ARX model | |||||
キーワード | ||||||
言語 | en | |||||
主題 | Digital controller | |||||
キーワード | ||||||
言語 | en | |||||
主題 | Microprocessor control | |||||
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 | |||||
ページ属性 | ||||||
内容記述タイプ | Other | |||||
内容記述 | P(論文) | |||||
著者名(日) |
青木 , 立
× 青木 , 立× 川田, 誠一 |
|||||
著者名よみ |
アオキ, タツ
× アオキ, タツ× カワタ, セイイチ |
|||||
著者名(英) |
Aoki, Tatsu
× Aoki, Tatsu× Kawata, Seiichi |
|||||
抄録(英) | ||||||
内容記述タイプ | Other | |||||
内容記述 | There are power/size and price/cost constraints in realizing embedded mechatronic systems. In order to meetthese specifications, fixed-point microprocessors with a short word-length are suitable for control and real-time identification.From calculation time and accuracy, simple and reliable identification algorithm for fixed-point arithmetic is required.Thus, we proposed previously the simple method that estimates directly physical plant parameters by unifying MRAC anddelta form. However, the proposed method may suffer from parameter estimation errors due to measurement noise. In thispaper signal processing for identification is proposed. The principle is based on noise reduction methodology. High-passand low-pass filter are inserted for plant input and output, respectively so that the input-output relation of the plant doesnot change. Since high-frequency noise or measurement noise is reduced by low-pass filter, S/N ratio of plant output canbe increased. As an illustration, ARX models on first- and second- order systems by using recursive least squares areconsidered. Simulation results show that parameter estimation errors can be greatly reduced by the proposed method. | |||||
雑誌書誌ID | ||||||
収録物識別子タイプ | NCID | |||||
収録物識別子 | AA12210629 | |||||
書誌情報 |
東京都立産業技術高等専門学校研究紀要 en : Research reports of Tokyo Metropolitan College of Industrial Technology 巻 7, p. 72-76, 発行日 2013-03 |