{"id":"https://openalex.org/W4283714427","doi":"https://doi.org/10.1109/codit55151.2022.9803986","title":"Applying Neural Networks for the Identification of Control Object Mathematical Models for the Control Problems","display_name":"Applying Neural Networks for the Identification of Control Object Mathematical Models for the Control Problems","publication_year":2022,"publication_date":"2022-05-17","ids":{"openalex":"https://openalex.org/W4283714427","doi":"https://doi.org/10.1109/codit55151.2022.9803986"},"language":"en","primary_location":{"id":"doi:10.1109/codit55151.2022.9803986","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit55151.2022.9803986","pdf_url":null,"source":{"id":"https://openalex.org/S4363607900","display_name":"2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)","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/A5044133211","display_name":"Askhat Diveev","orcid":"https://orcid.org/0000-0003-2057-9016"},"institutions":[{"id":"https://openalex.org/I1313323035","display_name":"Russian Academy of Sciences","ror":"https://ror.org/05qrfxd25","country_code":"RU","type":"government","lineage":["https://openalex.org/I1313323035"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Askhat Diveev","raw_affiliation_strings":["Federal Research Center &#x201C;Computer Science and Control&#x201D; of Russian Academy of Sciences,Moscow,Russia"],"affiliations":[{"raw_affiliation_string":"Federal Research Center &#x201C;Computer Science and Control&#x201D; of Russian Academy of Sciences,Moscow,Russia","institution_ids":["https://openalex.org/I1313323035"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075372704","display_name":"S.V. Konstantinov","orcid":"https://orcid.org/0000-0003-3493-7865"},"institutions":[{"id":"https://openalex.org/I126527374","display_name":"Peoples' Friendship University of Russia","ror":"https://ror.org/02dn9h927","country_code":"RU","type":"education","lineage":["https://openalex.org/I126527374"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Sergey Konstantinov","raw_affiliation_strings":["Peoples&#x0027; Friendship University of Russia (RUDN University),Moscow,Russia"],"affiliations":[{"raw_affiliation_string":"Peoples&#x0027; Friendship University of Russia (RUDN University),Moscow,Russia","institution_ids":["https://openalex.org/I126527374"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5044133211"],"corresponding_institution_ids":["https://openalex.org/I1313323035"],"apc_list":null,"apc_paid":null,"fwci":0.1046,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.26003074,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1059","last_page":"1063"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9948999881744385,"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/T10320","display_name":"Neural Networks and Applications","score":0.9948999881744385,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9811000227928162,"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":0.9753999710083008,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.7975105047225952},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6570819616317749},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6315836310386658},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5940279364585876},{"id":"https://openalex.org/keywords/optimal-control","display_name":"Optimal control","score":0.5113634467124939},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.5084620714187622},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4380275011062622},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4352790117263794},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17750489711761475},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.12082445621490479}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7975105047225952},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6570819616317749},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6315836310386658},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5940279364585876},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.5113634467124939},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.5084620714187622},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4380275011062622},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4352790117263794},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17750489711761475},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.12082445621490479},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/codit55151.2022.9803986","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit55151.2022.9803986","pdf_url":null,"source":{"id":"https://openalex.org/S4363607900","display_name":"2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W16088600","https://openalex.org/W178056938","https://openalex.org/W1835840362","https://openalex.org/W2061438946","https://openalex.org/W2152195021","https://openalex.org/W2888468463","https://openalex.org/W2935965928","https://openalex.org/W3023540311","https://openalex.org/W3033855706","https://openalex.org/W3113989084","https://openalex.org/W3187321071","https://openalex.org/W3209092172","https://openalex.org/W6787075082"],"related_works":["https://openalex.org/W1584270863","https://openalex.org/W2603525251","https://openalex.org/W2085961337","https://openalex.org/W3113777316","https://openalex.org/W2386241395","https://openalex.org/W4246541945","https://openalex.org/W2357447513","https://openalex.org/W2107201395","https://openalex.org/W2381790306","https://openalex.org/W4241378172"],"abstract_inverted_index":{"In":[0,23],"order":[1],"to":[2,13,74,115],"obtain":[3],"optimal":[4,98,104],"control":[5,21,40,46,57,99,105,118,147],"of":[6,19,38,45,53,64,97,122,125,141,145],"a":[7,35,76,91,95,116],"real":[8,117],"object,":[9],"it":[10],"is":[11,31,59,83,101,113],"necessary":[12],"know":[14],"the":[15,24,39,51,56,65,68,108,123,126,139,142,146,150],"precise":[16],"mathematical":[17,36,127],"model":[18,37,128],"this":[20,87],"object.":[22,41,119],"present":[25],"study":[26],"an":[27,130],"artificial":[28,80,110,131],"neural":[29,81,93,111,132,152],"network":[30,82,112,133],"used":[32],"for":[33],"building":[34],"First,":[42],"some":[43],"forms":[44],"are":[47,72],"defined,":[48],"and":[49,67,149],"with":[50],"help":[52],"these":[54],"controls,":[55],"object":[58,148],"modeled.":[60],"The":[61,79,103,120],"obtained":[62,106],"values":[63,144],"controls":[66],"space":[69],"state":[70],"vector":[71],"stored":[73],"create":[75],"training":[77,88],"sample.":[78],"then":[84],"trained":[85,92,109,151],"on":[86,138],"set.":[89],"For":[90],"network,":[94],"set":[96],"problems":[100],"solved.":[102],"by":[107,129],"applied":[114],"accuracy":[121],"approximation":[124],"can":[134],"be":[135],"estimated":[136],"based":[137],"proximity":[140],"functional":[143],"network.":[153]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
