{"id":"https://openalex.org/W2787371926","doi":"https://doi.org/10.1109/ascc.2017.8287223","title":"Data-driven linearly parametrized controller design based on minimum variance evaluation","display_name":"Data-driven linearly parametrized controller design based on minimum variance evaluation","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2787371926","doi":"https://doi.org/10.1109/ascc.2017.8287223","mag":"2787371926"},"language":"en","primary_location":{"id":"doi:10.1109/ascc.2017.8287223","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ascc.2017.8287223","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 11th Asian Control Conference (ASCC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080920610","display_name":"Shogo Okada","orcid":"https://orcid.org/0000-0002-9260-0403"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Shogo Okada","raw_affiliation_strings":["Department of Systems Design, Tokyo Metropolitan University, Hino, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Systems Design, Tokyo Metropolitan University, Hino, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045201043","display_name":"Shiro Masuda","orcid":"https://orcid.org/0000-0003-4529-1932"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shiro Masuda","raw_affiliation_strings":["Department of Systems Design, Tokyo Metropolitan University, Hino, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Systems Design, Tokyo Metropolitan University, Hino, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5080920610"],"corresponding_institution_ids":["https://openalex.org/I69740276"],"apc_list":null,"apc_paid":null,"fwci":0.2012,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.5706736,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"513","last_page":"518"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/minimum-variance-unbiased-estimator","display_name":"Minimum-variance unbiased estimator","score":0.7966824769973755},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.714142918586731},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.7000077962875366},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.6567429304122925},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5005166530609131},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4977605640888214},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4837196171283722},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4255998730659485},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.39963477849960327},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35824233293533325},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.30043381452560425},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15719547867774963},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.10789754986763},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10598617792129517}],"concepts":[{"id":"https://openalex.org/C165646398","wikidata":"https://www.wikidata.org/wiki/Q3755281","display_name":"Minimum-variance unbiased estimator","level":3,"score":0.7966824769973755},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.714142918586731},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.7000077962875366},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.6567429304122925},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5005166530609131},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4977605640888214},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4837196171283722},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4255998730659485},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.39963477849960327},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35824233293533325},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.30043381452560425},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15719547867774963},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.10789754986763},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10598617792129517},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ascc.2017.8287223","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ascc.2017.8287223","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 11th Asian Control Conference (ASCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1499510974","https://openalex.org/W1536997931","https://openalex.org/W1540881474","https://openalex.org/W1959359947","https://openalex.org/W1979974537","https://openalex.org/W1992464016","https://openalex.org/W2034142480","https://openalex.org/W2038436774","https://openalex.org/W2075580303","https://openalex.org/W2089542538","https://openalex.org/W2091000168","https://openalex.org/W2151083101","https://openalex.org/W2203824110","https://openalex.org/W2612490095","https://openalex.org/W6629855019"],"related_works":["https://openalex.org/W2002793373","https://openalex.org/W2349547417","https://openalex.org/W2463762105","https://openalex.org/W2166923183","https://openalex.org/W1572562701","https://openalex.org/W2472855317","https://openalex.org/W2005426889","https://openalex.org/W2380964641","https://openalex.org/W2394058734","https://openalex.org/W1597290508"],"abstract_inverted_index":{"The":[0,15,111],"paper":[1,112,155,172],"proposes":[2],"a":[3,62,65,181],"linearly":[4,99,133],"parametrized":[5,100,134],"data-driven":[6,34,51,114],"controller":[7,35,54,63,73,77],"design":[8,36,55],"method":[9,97,179],"based":[10,107],"on":[11,88,108,145],"minimum":[12,52,80,128],"variance":[13,53,81,109,129],"evaluation.":[14,110],"approach":[16],"updates":[17],"control":[18,27,105],"parameters":[19,106],"that":[20,56,126,148],"improves":[21],"disturbance":[22,149,162,168],"attenuation":[23],"properties":[24],"from":[25],"regulatory":[26],"input":[28],"and":[29,64,102,117],"output":[30],"measurements.":[31],"Most":[32],"of":[33,60,78,176],"methods":[37],"address":[38],"model":[39,150,163],"matching":[40],"problem":[41],"for":[42],"improving":[43],"tracking":[44],"properties,":[45],"whereas":[46],"our":[47],"previous":[48],"works":[49],"proposed":[50,96,178],"achieves":[57],"simultaneous":[58],"update":[59],"both":[61],"process":[66,91],"model.":[67,92,169],"However,":[68],"they":[69],"used":[70],"the":[71,76,79,89,95,122,136,142,146,154,157,160,171,174,177],"same":[72],"structure":[74],"as":[75],"control,":[82],"which":[83],"requires":[84],"correct":[85],"order":[86],"informations":[87],"controlled":[90],"In":[93],"contrast,":[94],"uses":[98],"controllers,":[101],"obtains":[103],"sub-optimal":[104],"shows":[113,173],"cost":[115,124],"function":[116],"its":[118],"validity.":[119],"Comparing":[120],"with":[121],"original":[123],"criterion":[125],"represents":[127],"evaluation":[130],"subject":[131],"to":[132,159],"controller,":[135],"validity":[137],"is":[138,151],"firstly":[139],"shown":[140],"by":[141,165],"analytical":[143],"expansion":[144],"assumption":[147],"known.":[152],"Then,":[153],"extends":[156],"analysis":[158],"unknown":[161],"case":[164],"simultaneously":[166],"estimating":[167],"Finally,":[170],"effectiveness":[175],"through":[180],"numerical":[182],"example.":[183]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
