{"id":"https://openalex.org/W2772589721","doi":"https://doi.org/10.1109/smc.2017.8122841","title":"Study on an adaptive GMDH-PID controller using adaptive moment estimation","display_name":"Study on an adaptive GMDH-PID controller using adaptive moment estimation","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2772589721","doi":"https://doi.org/10.1109/smc.2017.8122841","mag":"2772589721"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2017.8122841","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2017.8122841","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5071520440","display_name":"Shin Wakitani","orcid":"https://orcid.org/0000-0002-3850-3864"},"institutions":[{"id":"https://openalex.org/I113306721","display_name":"Hiroshima University","ror":"https://ror.org/03t78wx29","country_code":"JP","type":"education","lineage":["https://openalex.org/I113306721"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shin Wakitani","raw_affiliation_strings":["Institute of Engineering, Hiroshima University, Hiroshima, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Engineering, Hiroshima University, Hiroshima, Japan","institution_ids":["https://openalex.org/I113306721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070300491","display_name":"Toru Yamamoto","orcid":"https://orcid.org/0000-0001-6500-8394"},"institutions":[{"id":"https://openalex.org/I113306721","display_name":"Hiroshima University","ror":"https://ror.org/03t78wx29","country_code":"JP","type":"education","lineage":["https://openalex.org/I113306721"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toru Yamamoto","raw_affiliation_strings":["Graduate School of Engineering, Hiroshima University, Hiroshima, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Hiroshima University, Hiroshima, Japan","institution_ids":["https://openalex.org/I113306721"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031672737","display_name":"Akihiro Ishimura","orcid":null},"institutions":[{"id":"https://openalex.org/I113306721","display_name":"Hiroshima University","ror":"https://ror.org/03t78wx29","country_code":"JP","type":"education","lineage":["https://openalex.org/I113306721"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akihiro Ishimura","raw_affiliation_strings":["Institute of Engineering, Hiroshima University, Hiroshima, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Engineering, Hiroshima University, Hiroshima, Japan","institution_ids":["https://openalex.org/I113306721"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6196,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.7825259,"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":"1587","last_page":"1591"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14351","display_name":"Statistical and Computational Modeling","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T14351","display_name":"Statistical and Computational Modeling","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9940999746322632,"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/T10908","display_name":"Analytical Chemistry and Chromatography","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pid-controller","display_name":"PID controller","score":0.9484821557998657},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.757377564907074},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.5858216285705566},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5453840494155884},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.5073944926261902},{"id":"https://openalex.org/keywords/group-method-of-data-handling","display_name":"Group method of data handling","score":0.4722140431404114},{"id":"https://openalex.org/keywords/control-system","display_name":"Control system","score":0.4326220750808716},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.4141188859939575},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3082956075668335},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.22463029623031616},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19738522171974182},{"id":"https://openalex.org/keywords/temperature-control","display_name":"Temperature control","score":0.19473260641098022},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09787255525588989}],"concepts":[{"id":"https://openalex.org/C47116090","wikidata":"https://www.wikidata.org/wiki/Q716829","display_name":"PID controller","level":3,"score":0.9484821557998657},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.757377564907074},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.5858216285705566},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5453840494155884},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.5073944926261902},{"id":"https://openalex.org/C13926793","wikidata":"https://www.wikidata.org/wiki/Q3507155","display_name":"Group method of data handling","level":2,"score":0.4722140431404114},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.4326220750808716},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.4141188859939575},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3082956075668335},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.22463029623031616},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19738522171974182},{"id":"https://openalex.org/C536315585","wikidata":"https://www.wikidata.org/wiki/Q7698332","display_name":"Temperature control","level":2,"score":0.19473260641098022},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09787255525588989},{"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/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc.2017.8122841","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2017.8122841","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W583659486","https://openalex.org/W1522301498","https://openalex.org/W2039143011","https://openalex.org/W2141185589","https://openalex.org/W2408696237","https://openalex.org/W2505815630","https://openalex.org/W2979268364","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W2002388147","https://openalex.org/W3098928304","https://openalex.org/W2394883510","https://openalex.org/W2150958483","https://openalex.org/W2922503265","https://openalex.org/W2023324176","https://openalex.org/W1787078821","https://openalex.org/W48160925","https://openalex.org/W2772589721","https://openalex.org/W2998508703"],"abstract_inverted_index":{"This":[0,130],"research":[1],"concerned":[2],"about":[3],"an":[4,111,133],"online":[5,134],"learning":[6],"algorithm":[7],"of":[8,12,28,137,150,171,178],"the":[9,102,115,138,143,159,172,179],"group":[10],"method":[11,136,181],"data":[13],"handling":[14],"based":[15,141],"proportional-integral-derivative":[16],"(GMDH-PID)":[17],"controller":[18,51,69,89,117,140,161,173],"that":[19,70,147],"is":[20,39,126,148,174,182],"effective":[21],"for":[22],"nonlinear":[23],"systems.":[24],"Although":[25],"a":[26,43,49,67,77,120],"lot":[27],"PID":[29,50,73],"controllers":[30],"have":[31],"been":[32],"mainly":[33],"used":[34],"in":[35,101,110],"industrial":[36],"systems,":[37,66],"it":[38],"difficult":[40],"to":[41,57,62,76,156,164],"maintain":[42,91],"desired":[44],"control":[45,54,93],"performance":[46,94],"only":[47],"by":[48,95,184],"with":[52,64],"fixed":[53],"parameters":[55,74],"due":[56],"system":[58,78,121,124,166],"nonlinearities.":[59],"In":[60],"order":[61],"deal":[63],"such":[65],"GMDH-PID":[68,88,116,139,160],"can":[71,90,162],"adjust":[72],"according":[75],"change":[79,125],"was":[80,85],"proposed,":[81],"and":[82],"its":[83,98],"effectiveness":[84,177],"evaluated.":[86],"The":[87,176],"good":[92],"appropriately":[96],"setting":[97],"weight":[99],"coefficients":[100,107],"GMDH":[103],"network.":[104],"However,":[105],"these":[106],"are":[108],"determined":[109],"offline":[112],"manner,":[113],"thus":[114,168],"cannot":[118],"adapt":[119,163],"if":[122],"unexpected":[123],"happened":[127],"while":[128],"controlling.":[129],"paper":[131],"proposes":[132],"tuning":[135],"on":[142],"adaptive":[144],"moment":[145],"estimation":[146],"one":[149],"recent":[151],"attracted":[152],"optimization":[153],"methods.":[154],"Thanks":[155],"this":[157],"method,":[158],"unknown":[165],"change,":[167],"applicable":[169],"rage":[170],"expanded.":[175],"proposed":[180],"demonstrated":[183],"simulation":[185],"examples.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}