{"id":"https://openalex.org/W2571391104","doi":"https://doi.org/10.1109/iecon.2016.7793201","title":"Application of integral reinforcement learning for optimal control of a high speed flux-switching permanent magnet machine","display_name":"Application of integral reinforcement learning for optimal control of a high speed flux-switching permanent magnet machine","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2571391104","doi":"https://doi.org/10.1109/iecon.2016.7793201","mag":"2571391104"},"language":"en","primary_location":{"id":"doi:10.1109/iecon.2016.7793201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon.2016.7793201","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society","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/A5100458522","display_name":"Yang Yu","orcid":"https://orcid.org/0000-0002-3694-3276"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Yang Yu","raw_affiliation_strings":["Nanyang technological University"],"affiliations":[{"raw_affiliation_string":"Nanyang technological University","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100907904","display_name":"Xiaohe Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xiaohe Ma","raw_affiliation_strings":["Nanyang technological University"],"affiliations":[{"raw_affiliation_string":"Nanyang technological University","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046844818","display_name":"Rong Su","orcid":"https://orcid.org/0000-0003-3448-0586"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Rong Su","raw_affiliation_strings":["Nanyang technological University"],"affiliations":[{"raw_affiliation_string":"Nanyang technological University","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Tseng King Jet","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Tseng King Jet","raw_affiliation_strings":["Nanyang technological University"],"affiliations":[{"raw_affiliation_string":"Nanyang technological University","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":null,"display_name":"V. Viswanathan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"V. Viswanathan","raw_affiliation_strings":["Rolls-Royce Singapore Pte. Ltd"],"affiliations":[{"raw_affiliation_string":"Rolls-Royce Singapore Pte. Ltd","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052100825","display_name":"Chandana Jayampathi Gajanayake","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"C. J. Gajanayake","raw_affiliation_strings":["Rolls-Royce Singapore Pte. Ltd"],"affiliations":[{"raw_affiliation_string":"Rolls-Royce Singapore Pte. Ltd","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111998972","display_name":"Sri Ramakrishna","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. RamaKrishna","raw_affiliation_strings":["Rolls-Royce Singapore Pte. Ltd"],"affiliations":[{"raw_affiliation_string":"Rolls-Royce Singapore Pte. Ltd","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090446191","display_name":"Amitava Gupta","orcid":"https://orcid.org/0000-0002-9155-3633"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A. K. Gupta","raw_affiliation_strings":["Rolls-Royce Singapore Pte. Ltd"],"affiliations":[{"raw_affiliation_string":"Rolls-Royce Singapore Pte. Ltd","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100458522"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.7188,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.77265529,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2702","last_page":"2707"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12794","display_name":"Adaptive Dynamic Programming Control","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12794","display_name":"Adaptive Dynamic Programming Control","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10278","display_name":"Electric Motor Design and Analysis","score":0.977400004863739,"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/T10740","display_name":"Wind Turbine Control Systems","score":0.9563999772071838,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7119187712669373},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.6367779970169067},{"id":"https://openalex.org/keywords/matlab","display_name":"MATLAB","score":0.6083402633666992},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5720348954200745},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5344191193580627},{"id":"https://openalex.org/keywords/magnet","display_name":"Magnet","score":0.5117254257202148},{"id":"https://openalex.org/keywords/flux","display_name":"Flux (metallurgy)","score":0.49358975887298584},{"id":"https://openalex.org/keywords/rotor","display_name":"Rotor (electric)","score":0.46892884373664856},{"id":"https://openalex.org/keywords/electronic-speed-control","display_name":"Electronic speed control","score":0.4367865025997162},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.4245396554470062},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42181092500686646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37454134225845337},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.37102603912353516},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17547377943992615},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.09377562999725342},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.08280664682388306}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7119187712669373},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.6367779970169067},{"id":"https://openalex.org/C2780365114","wikidata":"https://www.wikidata.org/wiki/Q169478","display_name":"MATLAB","level":2,"score":0.6083402633666992},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5720348954200745},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5344191193580627},{"id":"https://openalex.org/C16389437","wikidata":"https://www.wikidata.org/wiki/Q11421","display_name":"Magnet","level":2,"score":0.5117254257202148},{"id":"https://openalex.org/C68709404","wikidata":"https://www.wikidata.org/wiki/Q1134475","display_name":"Flux (metallurgy)","level":2,"score":0.49358975887298584},{"id":"https://openalex.org/C17281054","wikidata":"https://www.wikidata.org/wiki/Q193466","display_name":"Rotor (electric)","level":2,"score":0.46892884373664856},{"id":"https://openalex.org/C45641319","wikidata":"https://www.wikidata.org/wiki/Q550768","display_name":"Electronic speed control","level":2,"score":0.4367865025997162},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.4245396554470062},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42181092500686646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37454134225845337},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.37102603912353516},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17547377943992615},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.09377562999725342},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.08280664682388306},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iecon.2016.7793201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon.2016.7793201","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1614417283","https://openalex.org/W1968452087","https://openalex.org/W2012451615","https://openalex.org/W2024303516","https://openalex.org/W2041201483","https://openalex.org/W2073601023","https://openalex.org/W2139416664","https://openalex.org/W2171551481"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4306904969","https://openalex.org/W4251298892","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W2381426581","https://openalex.org/W4380318855","https://openalex.org/W2031695474","https://openalex.org/W3084456289","https://openalex.org/W2024370140"],"abstract_inverted_index":{"A":[0],"novel":[1,71],"control":[2,72,88,125],"method":[3],"using":[4],"H":[5,50],"<inf":[6,51],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[7,52],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">\u221e</inf>":[8,53],"tracking":[9],"and":[10,41,90,95],"integral":[11,75],"reinforcement":[12,76],"learning":[13,77],"is":[14,55],"applied":[15],"to":[16,56,84,114],"a":[17,24,128],"flux-switching":[18,136],"permanent":[19,137],"magnet":[20,138],"(FSPM)":[21],"machine":[22,106],"in":[23,34,120],"hostile":[25],"environment.":[26],"The":[27,44,70,118],"proposed":[28],"controller":[29,54],"can":[30,107],"maintain":[31],"high":[32],"performance":[33,92,126],"the":[35,58,67,74,87,91,97,104,124],"presence":[36],"of":[37,66,81,93,99],"motor":[38],"parameter":[39,111],"uncertainties":[40,112],"load":[42],"disturbances.":[43],"conventional":[45],"design":[46],"procedure":[47],"for":[48,127],"an":[49],"solve":[57],"Hamilton-Jacobi-Isaacs":[59],"(HJI)":[60],"equation":[61],"which":[62],"requires":[63],"full":[64],"information":[65],"system":[68],"model.":[69],"method,":[73],"(IRL)":[78],"makes":[79],"use":[80],"neural":[82],"networks":[83],"parametrically":[85],"represent":[86],"policy":[89],"system,":[94],"learns":[96],"solution":[98],"HJI":[100],"equations":[101],"online.":[102],"Therefore,":[103],"FSPM":[105],"work":[108],"optimally":[109],"under":[110],"due":[113],"different":[115],"operating":[116],"conditions.":[117],"simulation":[119],"Matlab/Simulink":[121],"vividly":[122],"illustrates":[123],"45kW,":[129],"rotor":[130],"speed":[131],"9000":[132],"rpm,":[133],"12/5":[134],"poles":[135],"machine.":[139]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}