{"id":"https://openalex.org/W4385894374","doi":"https://doi.org/10.1109/tcst.2023.3293790","title":"Data-Driven Predictive Control With Online Adaption: Application to a Fuel Cell System","display_name":"Data-Driven Predictive Control With Online Adaption: Application to a Fuel Cell System","publication_year":2023,"publication_date":"2023-08-04","ids":{"openalex":"https://openalex.org/W4385894374","doi":"https://doi.org/10.1109/tcst.2023.3293790"},"language":"en","primary_location":{"id":"doi:10.1109/tcst.2023.3293790","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcst.2023.3293790","pdf_url":null,"source":{"id":"https://openalex.org/S133363738","display_name":"IEEE Transactions on Control Systems Technology","issn_l":"1063-6536","issn":["1063-6536","1558-0865","2374-0159"],"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 Control Systems Technology","raw_type":"journal-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/A5102879984","display_name":"L. Schmitt","orcid":"https://orcid.org/0000-0002-0981-1104"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lukas Schmitt","raw_affiliation_strings":["Institute of Automatic Control, RWTH Aachen University, Aachen, Germany"],"raw_orcid":"https://orcid.org/0000-0002-0981-1104","affiliations":[{"raw_affiliation_string":"Institute of Automatic Control, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092653009","display_name":"Julius Beerwerth","orcid":null},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Julius Beerwerth","raw_affiliation_strings":["Institute of Automatic Control, RWTH Aachen University, Aachen, Germany","Chair of Embedded Software, RWTH Aachen University, Aachen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automatic Control, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]},{"raw_affiliation_string":"Chair of Embedded Software, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018982548","display_name":"Matthias B\u00e4hr","orcid":"https://orcid.org/0000-0003-2598-1442"},"institutions":[{"id":"https://openalex.org/I4210146441","display_name":"The Hydrogen and Fuel Cell Center","ror":"https://ror.org/03tx9kw79","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210146441","https://openalex.org/I62318514"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Matthias Bahr","raw_affiliation_strings":["The hydrogen and fuel cell center ZBT GmbH, Duisburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The hydrogen and fuel cell center ZBT GmbH, Duisburg, Germany","institution_ids":["https://openalex.org/I4210146441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029739081","display_name":"Dirk Abel","orcid":"https://orcid.org/0000-0003-0286-3654"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dirk Abel","raw_affiliation_strings":["Institute of Automatic Control, RWTH Aachen University, Aachen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automatic Control, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.0976,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.91790829,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"32","issue":"1","first_page":"61","last_page":"72"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.9994000196456909,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9994000196456909,"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/T10409","display_name":"Fuel Cells and Related Materials","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.9951000213623047,"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/model-predictive-control","display_name":"Model predictive control","score":0.7906758785247803},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6456526517868042},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4679366946220398},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.4499566853046417},{"id":"https://openalex.org/keywords/control-system","display_name":"Control system","score":0.4354937672615051},{"id":"https://openalex.org/keywords/online-model","display_name":"Online model","score":0.4228897988796234},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.3485361933708191},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.33136504888534546},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3216191530227661},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.2994436025619507},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.21294322609901428},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19014373421669006},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13221991062164307}],"concepts":[{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.7906758785247803},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6456526517868042},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4679366946220398},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.4499566853046417},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.4354937672615051},{"id":"https://openalex.org/C2777851325","wikidata":"https://www.wikidata.org/wiki/Q7094102","display_name":"Online model","level":2,"score":0.4228897988796234},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3485361933708191},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33136504888534546},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3216191530227661},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.2994436025619507},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.21294322609901428},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19014373421669006},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13221991062164307},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcst.2023.3293790","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcst.2023.3293790","pdf_url":null,"source":{"id":"https://openalex.org/S133363738","display_name":"IEEE Transactions on Control Systems Technology","issn_l":"1063-6536","issn":["1063-6536","1558-0865","2374-0159"],"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 Control Systems Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320999","display_name":"The Ministry of Economic Affairs and Employment","ror":"https://ror.org/008d1xp69"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W178056938","https://openalex.org/W565798578","https://openalex.org/W1510413094","https://openalex.org/W1516146669","https://openalex.org/W1983313164","https://openalex.org/W1992065791","https://openalex.org/W2013439434","https://openalex.org/W2014314005","https://openalex.org/W2022872090","https://openalex.org/W2025441718","https://openalex.org/W2029018540","https://openalex.org/W2083396291","https://openalex.org/W2086111648","https://openalex.org/W2116773335","https://openalex.org/W2136774055","https://openalex.org/W2139263821","https://openalex.org/W2490332177","https://openalex.org/W2556667990","https://openalex.org/W2615836285","https://openalex.org/W2749680651","https://openalex.org/W2769646558","https://openalex.org/W2922542205","https://openalex.org/W2952672134","https://openalex.org/W2967875632","https://openalex.org/W2979207987","https://openalex.org/W3001311638","https://openalex.org/W3002782398","https://openalex.org/W3009888867","https://openalex.org/W3010996307","https://openalex.org/W3046374173","https://openalex.org/W3046539130","https://openalex.org/W3093259048","https://openalex.org/W3098031065","https://openalex.org/W3101798601","https://openalex.org/W3119438804","https://openalex.org/W3134254523","https://openalex.org/W3155203848","https://openalex.org/W3160526279","https://openalex.org/W3174958559","https://openalex.org/W3186992617","https://openalex.org/W3196409543","https://openalex.org/W3199213028","https://openalex.org/W3200318208","https://openalex.org/W3213835390","https://openalex.org/W4205929901","https://openalex.org/W4285446133","https://openalex.org/W4285734004","https://openalex.org/W4300825532","https://openalex.org/W4318832060","https://openalex.org/W4361859523","https://openalex.org/W4388918873","https://openalex.org/W6786190294"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W48160925","https://openalex.org/W2388038580","https://openalex.org/W4385221652","https://openalex.org/W4246849984","https://openalex.org/W3214856188","https://openalex.org/W2967393875","https://openalex.org/W3085055827","https://openalex.org/W1974500578","https://openalex.org/W2620728022"],"abstract_inverted_index":{"Fuel":[0],"cell":[1,63,139],"systems":[2],"constitute":[3],"an":[4,110],"electrochemical":[5],"energy":[6],"conversion":[7],"system":[8,77,116,140],"increasingly":[9],"used":[10],"in":[11,20,126,164],"stationary":[12],"and":[13,57,90,142,149,162,178],"mobile":[14],"applications.":[15],"Complying":[16],"with":[17],"operational":[18],"limits":[19],"transient":[21],"operation":[22],"can":[23],"be":[24,185],"achieved":[25],"by":[26],"model-based":[27],"predictive":[28,50,70],"control":[29,51,59,71,152,176],"algorithms.":[30],"The":[31,84,130,175],"key":[32],"challenge":[33],"arises":[34],"from":[35],"the":[36,54,98,115,121,127,154,179],"identification":[37],"of":[38,60,86,171],"suitable":[39],"models":[40],"for":[41,53,93,114,120,158,167],"embedded":[42,102,191],"real-time":[43,186],"optimization.":[44],"This":[45],"article":[46],"presents":[47],"a":[48,61,75,136,159,189],"data-driven":[49],"approach":[52,132],"air":[55],"path":[56],"power":[58],"fuel":[62,138],"system.":[64],"In":[65,106],"particular,":[66],"we":[67,108],"use":[68],"data-enabled":[69],"(DeePC)":[72],"based":[73],"on":[74,97,101,135,188],"concise":[76],"representation":[78,117],"using":[79,153],"column":[80,155],"subset":[81,156],"selection":[82],"(CSS).":[83],"impact":[85],"problem":[87],"formulation,":[88],"regularization,":[89],"different":[91],"solvers":[92],"quadratic":[94],"programs":[95],"(QPs)":[96],"turnaround":[99],"time":[100],"hardware":[103],"is":[104,133],"investigated.":[105],"addition,":[107],"provide":[109],"online":[111],"update":[112,180],"algorithm":[113,177,181],"to":[118,173,184],"account":[119],"operating":[122,169],"regions":[123],"not":[124],"contained":[125],"initial":[128],"dataset.":[129],"proposed":[131],"validated":[134],"high-fidelity":[137],"simulation":[141],"hardware-in-the-loop":[143],"(HiL)":[144],"experiments.":[145],"We":[146],"demonstrate":[147],"safe":[148],"fast":[150],"closed-loop":[151,165],"algorithms":[157],"comprehensive":[160],"dataset":[161],"reduction":[163],"cost":[166],"unknown":[168],"areas":[170],"up":[172],"25%.":[174],"are":[182],"shown":[183],"feasible":[187],"single-core":[190],"hardware.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
