{"id":"https://openalex.org/W2735122151","doi":"https://doi.org/10.23919/acc.2017.7963384","title":"Development of a high fidelity and subspace identification model of a hydrogen plant startup dynamics","display_name":"Development of a high fidelity and subspace identification model of a hydrogen plant startup dynamics","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2735122151","doi":"https://doi.org/10.23919/acc.2017.7963384","mag":"2735122151"},"language":"en","primary_location":{"id":"doi:10.23919/acc.2017.7963384","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2017.7963384","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 American Control Conference (ACC)","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/A5043920881","display_name":"Abhinav Garg","orcid":"https://orcid.org/0000-0001-5082-5500"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Abhinav Garg","raw_affiliation_strings":["Department of Chemical Engineering, McMaster University, Hamilton"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Chemical Engineering, McMaster University, Hamilton","institution_ids":["https://openalex.org/I98251732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010867791","display_name":"Brandon Corbett","orcid":"https://orcid.org/0000-0001-5360-9811"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Brandon Corbett","raw_affiliation_strings":["Department of Chemical Engineering, McMaster University, Hamilton"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Chemical Engineering, McMaster University, Hamilton","institution_ids":["https://openalex.org/I98251732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016353717","display_name":"Prashant Mhaskar","orcid":"https://orcid.org/0000-0001-5866-211X"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Prashant Mhaskar","raw_affiliation_strings":["Department of Chemical Engineering, McMaster University, Hamilton, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Chemical Engineering, McMaster University, Hamilton, ON, Canada","institution_ids":["https://openalex.org/I98251732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052225834","display_name":"Gangshi Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gangshi Hu","raw_affiliation_strings":["Praxair Inc., Tonawanda, NY, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Praxair Inc., Tonawanda, NY, United States","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051169161","display_name":"Jesus Flores\u2010Cerrillo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jesus Flores-Cerrillo","raw_affiliation_strings":["Praxair Inc., Tonawanda, NY, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Praxair Inc., Tonawanda, NY, United States","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08910496,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2857","last_page":"2862"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9983999729156494,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9983999729156494,"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/T14470","display_name":"Advanced Data Processing Techniques","score":0.9975000023841858,"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":0.9919000267982483,"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/identification","display_name":"Identification (biology)","score":0.6911605596542358},{"id":"https://openalex.org/keywords/high-fidelity","display_name":"High fidelity","score":0.6777231693267822},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6546459197998047},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.6411290168762207},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5590657591819763},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5586291551589966},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.540653645992279},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4635891616344452},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.44875913858413696},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4283478260040283},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.3530159890651703},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.32920384407043457},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3120843172073364},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1337984800338745},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.08235323429107666}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6911605596542358},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.6777231693267822},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6546459197998047},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.6411290168762207},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5590657591819763},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5586291551589966},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.540653645992279},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4635891616344452},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.44875913858413696},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4283478260040283},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3530159890651703},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.32920384407043457},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3120843172073364},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1337984800338745},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.08235323429107666},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/acc.2017.7963384","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2017.7963384","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 American Control Conference (ACC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4099999964237213,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320311526","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1979454551","https://openalex.org/W1981316363","https://openalex.org/W1982182688","https://openalex.org/W2006905088","https://openalex.org/W2019752403","https://openalex.org/W2034487019","https://openalex.org/W2036282945","https://openalex.org/W2044197877","https://openalex.org/W2059871120","https://openalex.org/W2067967144","https://openalex.org/W2109869845","https://openalex.org/W2113615858","https://openalex.org/W2117131623","https://openalex.org/W2120142311","https://openalex.org/W2237689036","https://openalex.org/W2280443225","https://openalex.org/W2320722390","https://openalex.org/W2333943581","https://openalex.org/W4249924554"],"related_works":["https://openalex.org/W4283206115","https://openalex.org/W4313443006","https://openalex.org/W2945374968","https://openalex.org/W4385452045","https://openalex.org/W4293777179","https://openalex.org/W2164070813","https://openalex.org/W2135608140","https://openalex.org/W2895525995","https://openalex.org/W4224231624","https://openalex.org/W2332512904"],"abstract_inverted_index":{"In":[0],"this":[1,29,32],"work,":[2],"the":[3,40,52,61,87,105,109],"problem":[4],"of":[5,10,39,50,60,77,86,108],"determining":[6],"a":[7,11,22,35,78],"data-driven":[8,79,84],"model":[9,26,38,85],"hydrogen":[12],"production":[13],"unit":[14],"is":[15,19,43,94],"addressed.":[16],"The":[17],"framework":[18],"applied":[20],"to":[21,71],"high":[23,36],"fidelity":[24,37],"simulation":[25],"developed":[27,44],"in":[28,45],"work.":[30],"To":[31],"end,":[33],"first":[34],"entire":[41],"plant":[42,62],"Honeywell's":[46],"UniSim":[47],"Design,":[48],"capable":[49],"simulating":[51],"startup":[53],"and":[54,96],"shutdown":[55],"phase,":[56],"with":[57],"appropriate":[58],"adaptation":[59],"standard":[63],"operating":[64],"procedure":[65],"(SOP).":[66],"Several":[67],"startups":[68],"are":[69],"simulated":[70,100],"generate":[72],"training":[73],"data":[74],"for":[75],"identification":[76,91],"model.":[80,111],"Then":[81],"an":[82],"LTI":[83],"process":[88],"using":[89],"subspace":[90],"based":[92],"methods":[93],"determined":[95],"validated":[97],"against":[98],"new":[99],"startup.":[101],"Simulation":[102],"results":[103],"demonstrate":[104],"prediction":[106],"capabilities":[107],"identified":[110]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
