{"id":"https://openalex.org/W4387951910","doi":"https://doi.org/10.1109/tie.2023.3323746","title":"Convolution-Based Data-Driven Simulation and Controller Design Method","display_name":"Convolution-Based Data-Driven Simulation and Controller Design Method","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4387951910","doi":"https://doi.org/10.1109/tie.2023.3323746"},"language":"en","primary_location":{"id":"doi:10.1109/tie.2023.3323746","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tie.2023.3323746","pdf_url":"https://ieeexplore.ieee.org/ielx7/41/4387790/10297976.pdf","source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Electronics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ieeexplore.ieee.org/ielx7/41/4387790/10297976.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028022174","display_name":"Naoki Kameya","orcid":"https://orcid.org/0009-0009-3913-5379"},"institutions":[{"id":"https://openalex.org/I180203408","display_name":"Yokohama National University","ror":"https://ror.org/03zyp6p76","country_code":"JP","type":"education","lineage":["https://openalex.org/I180203408"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naoki Kameya","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Yokohama National University, Yokohama, Japan"],"raw_orcid":"https://orcid.org/0009-0009-3913-5379","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Yokohama National University, Yokohama, Japan","institution_ids":["https://openalex.org/I180203408"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026753908","display_name":"Yasutaka Fujimoto","orcid":"https://orcid.org/0000-0002-8106-5425"},"institutions":[{"id":"https://openalex.org/I180203408","display_name":"Yokohama National University","ror":"https://ror.org/03zyp6p76","country_code":"JP","type":"education","lineage":["https://openalex.org/I180203408"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasutaka Fujimoto","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Yokohama National University, Yokohama, Japan"],"raw_orcid":"https://orcid.org/0000-0002-8106-5425","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Yokohama National University, Yokohama, Japan","institution_ids":["https://openalex.org/I180203408"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012143745","display_name":"Yu Hosoyamada","orcid":"https://orcid.org/0000-0001-6968-4496"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu Hosoyamada","raw_affiliation_strings":["R&amp;D Center, Kyosan Electric Manufacturing Company Ltd., Yokohama, Japan"],"raw_orcid":"https://orcid.org/0000-0001-6968-4496","affiliations":[{"raw_affiliation_string":"R&amp;D Center, Kyosan Electric Manufacturing Company Ltd., Yokohama, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056379773","display_name":"Toyoaki Suenaga","orcid":"https://orcid.org/0009-0008-3942-8676"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Toyoaki Suenaga","raw_affiliation_strings":["Department of Power Electronics Division, Kyosan Electric Manufacturing Company Ltd., Yokohama, Japan"],"raw_orcid":"https://orcid.org/0009-0008-3942-8676","affiliations":[{"raw_affiliation_string":"Department of Power Electronics Division, Kyosan Electric Manufacturing Company Ltd., Yokohama, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.145,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.78560628,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"71","issue":"8","first_page":"9541","last_page":"9550"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9986000061035156,"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/T12810","display_name":"Real-time simulation and control systems","score":0.994700014591217,"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/controller","display_name":"Controller (irrigation)","score":0.6452399492263794},{"id":"https://openalex.org/keywords/settling-time","display_name":"Settling time","score":0.6422328352928162},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6419098377227783},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.6418523788452148},{"id":"https://openalex.org/keywords/overshoot","display_name":"Overshoot (microwave communication)","score":0.5869448781013489},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.48319971561431885},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.46631842851638794},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.46355903148651123},{"id":"https://openalex.org/keywords/step-response","display_name":"Step response","score":0.42957377433776855},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4255576729774475},{"id":"https://openalex.org/keywords/data-driven","display_name":"Data-driven","score":0.4120626747608185},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21811524033546448},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.12492778897285461},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09207698702812195},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.08534583449363708}],"concepts":[{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.6452399492263794},{"id":"https://openalex.org/C14781684","wikidata":"https://www.wikidata.org/wiki/Q3983320","display_name":"Settling time","level":3,"score":0.6422328352928162},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6419098377227783},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.6418523788452148},{"id":"https://openalex.org/C2780323453","wikidata":"https://www.wikidata.org/wiki/Q7113957","display_name":"Overshoot (microwave communication)","level":2,"score":0.5869448781013489},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.48319971561431885},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.46631842851638794},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.46355903148651123},{"id":"https://openalex.org/C160030872","wikidata":"https://www.wikidata.org/wiki/Q2142864","display_name":"Step response","level":2,"score":0.42957377433776855},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4255576729774475},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.4120626747608185},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21811524033546448},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.12492778897285461},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09207698702812195},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.08534583449363708},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tie.2023.3323746","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tie.2023.3323746","pdf_url":"https://ieeexplore.ieee.org/ielx7/41/4387790/10297976.pdf","source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Electronics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/tie.2023.3323746","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tie.2023.3323746","pdf_url":"https://ieeexplore.ieee.org/ielx7/41/4387790/10297976.pdf","source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Electronics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387951910.pdf","grobid_xml":"https://content.openalex.org/works/W4387951910.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W925887043","https://openalex.org/W1499510974","https://openalex.org/W1616818660","https://openalex.org/W1978972266","https://openalex.org/W1983313164","https://openalex.org/W2010872464","https://openalex.org/W2022369704","https://openalex.org/W2024991751","https://openalex.org/W2035532341","https://openalex.org/W2038436774","https://openalex.org/W2040363089","https://openalex.org/W2084997547","https://openalex.org/W2087232315","https://openalex.org/W2089542538","https://openalex.org/W2151083101","https://openalex.org/W2157720571","https://openalex.org/W2619409335","https://openalex.org/W2770020181","https://openalex.org/W2953550486","https://openalex.org/W3001802219","https://openalex.org/W3153115045","https://openalex.org/W4293150076","https://openalex.org/W4310521394"],"related_works":["https://openalex.org/W2890481954","https://openalex.org/W2184941548","https://openalex.org/W1934997005","https://openalex.org/W4235912567","https://openalex.org/W2784194192","https://openalex.org/W3185361189","https://openalex.org/W4377825843","https://openalex.org/W1569876521","https://openalex.org/W2288086107","https://openalex.org/W2040677570"],"abstract_inverted_index":{"Some":[0],"of":[1,10,14,27,58,127,140,145],"the":[2,8,11,15,20,25,28,46,56,59,72,83,105,112,116,119,125,128,154,159,168,176,185],"challenges":[3],"in":[4,48],"data-driven":[5,49,65,74],"control":[6,141],"are":[7],"selection":[9],"nominal":[12],"model":[13],"closed-loop":[16,86],"system":[17],"that":[18,153],"gives":[19],"fastest":[21],"response":[22],"achievable":[23],"and":[24,37,67,107,110,130,190],"validation":[26],"tuning":[29,177,189,193],"results.":[30],"The":[31,61,93,143],"virtual":[32,186],"time-response-based":[33],"iterative":[34],"gain":[35],"evaluation":[36],"redesign":[38],"(V-Tiger)":[39],"method":[40,84,94,121,156],"is":[41,131],"an":[42],"approach":[43,70],"to":[44,133,136,164],"solve":[45],"problems":[47],"control,":[50],"but":[51],"it":[52,173],"cannot":[53],"account":[54],"for":[55,98],"nonlinearity":[57,126],"controller.":[60],"article":[62],"proposes":[63],"a":[64,90,137,149],"simulation":[66,75],"controller":[68,99,129],"design":[69],"named":[71],"convolution-based":[73],"(CDDS)":[76],"method.":[77,171],"Based":[78],"on":[79],"time-domain":[80],"convolution":[81],"operations,":[82],"enables":[85],"simulations":[87],"without":[88],"building":[89],"plant":[91],"model.":[92],"offers":[95],"various":[96],"approaches":[97],"design,":[100],"such":[101],"as":[102],"directly":[103],"specifying":[104],"overshoot":[106],"settling":[108],"time":[109],"achieving":[111],"desired":[113],"characteristics.":[114],"Unlike":[115],"conventional":[117,169],"methods,":[118],"CDDS":[120,155],"can":[122,157,174],"explicitly":[123],"handle":[124],"expected":[132],"be":[134],"applicable":[135],"wide":[138],"range":[139],"systems.":[142],"results":[144],"experiments":[146],"conducted":[147],"using":[148],"buck":[150],"converter":[151],"indicate":[152],"reduce":[158,175],"estimation":[160],"error":[161,178],"by":[162,179],"up":[163],"95.0%":[165],"compared":[166,183],"with":[167,184],"V-Tiger":[170],"Furthermore,":[172],"more":[180],"than":[181],"52.0%":[182],"reference":[187],"feedback":[188],"noniterative":[191],"correlation-based":[192],"methods.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
