{"id":"https://openalex.org/W3111606355","doi":"https://doi.org/10.1177/0959651820975245","title":"A self-organizing multi-model ensemble for identification of nonlinear time-varying dynamics of aerial vehicles","display_name":"A self-organizing multi-model ensemble for identification of nonlinear time-varying dynamics of aerial vehicles","publication_year":2020,"publication_date":"2020-12-08","ids":{"openalex":"https://openalex.org/W3111606355","doi":"https://doi.org/10.1177/0959651820975245","mag":"3111606355"},"language":"en","primary_location":{"id":"doi:10.1177/0959651820975245","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0959651820975245","pdf_url":null,"source":{"id":"https://openalex.org/S4210196624","display_name":"Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering","issn_l":"0959-6518","issn":["0959-6518","2041-3041"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering","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/A5080676740","display_name":"Seyyed Ali Emami","orcid":"https://orcid.org/0000-0002-4131-532X"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Seyyed Ali Emami","raw_affiliation_strings":["Department of Aerospace Engineering, Sharif University of Technology, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Aerospace Engineering, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027337271","display_name":"Kasra KA Ahmadi","orcid":null},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kasra KA Ahmadi","raw_affiliation_strings":["iFLYTEK Laboratory for Neural Computing and Machine Learning (iNCML), Department of Electrical Engineering and Computer Science, York University, Toronto, ON, Canada"],"affiliations":[{"raw_affiliation_string":"iFLYTEK Laboratory for Neural Computing and Machine Learning (iNCML), Department of Electrical Engineering and Computer Science, York University, Toronto, ON, Canada","institution_ids":["https://openalex.org/I192455969"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5080676740"],"corresponding_institution_ids":["https://openalex.org/I133529467"],"apc_list":null,"apc_paid":null,"fwci":0.5487,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74726437,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"235","issue":"7","first_page":"1164","last_page":"1178"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9991000294685364,"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/T12676","display_name":"Machine Learning and ELM","score":0.9991000294685364,"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":0.9934999942779541,"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/T10320","display_name":"Neural Networks and Applications","score":0.982200026512146,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6463224291801453},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6277234554290771},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.6188694834709167},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.5548263788223267},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.496465265750885},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46454572677612305}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6463224291801453},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6277234554290771},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.6188694834709167},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.5548263788223267},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.496465265750885},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46454572677612305},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/0959651820975245","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0959651820975245","pdf_url":null,"source":{"id":"https://openalex.org/S4210196624","display_name":"Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering","issn_l":"0959-6518","issn":["0959-6518","2041-3041"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W976938947","https://openalex.org/W1582290234","https://openalex.org/W1965300492","https://openalex.org/W1979315914","https://openalex.org/W1985570813","https://openalex.org/W1994216106","https://openalex.org/W2006447203","https://openalex.org/W2007756949","https://openalex.org/W2011077139","https://openalex.org/W2056992242","https://openalex.org/W2061366352","https://openalex.org/W2066512051","https://openalex.org/W2085555526","https://openalex.org/W2091374557","https://openalex.org/W2097133364","https://openalex.org/W2097314007","https://openalex.org/W2097930197","https://openalex.org/W2132093718","https://openalex.org/W2137226063","https://openalex.org/W2230849509","https://openalex.org/W2232239508","https://openalex.org/W2242021551","https://openalex.org/W2268490534","https://openalex.org/W2322927894","https://openalex.org/W2386566833","https://openalex.org/W2468200523","https://openalex.org/W2470532061","https://openalex.org/W2492272363","https://openalex.org/W2524305075","https://openalex.org/W2536142853","https://openalex.org/W2554170550","https://openalex.org/W2594558591","https://openalex.org/W2596557109","https://openalex.org/W2613946990","https://openalex.org/W2809909937","https://openalex.org/W2810678917","https://openalex.org/W2874953367","https://openalex.org/W2895357123","https://openalex.org/W2895858327","https://openalex.org/W2904810631","https://openalex.org/W2916183847","https://openalex.org/W2917219381","https://openalex.org/W2965901961","https://openalex.org/W2968579831","https://openalex.org/W4205089742","https://openalex.org/W4238586295","https://openalex.org/W4254218124"],"related_works":["https://openalex.org/W2382174632","https://openalex.org/W2129959498","https://openalex.org/W2784060934","https://openalex.org/W2902714807","https://openalex.org/W2537489131","https://openalex.org/W2394084632","https://openalex.org/W2358293514","https://openalex.org/W2046633342","https://openalex.org/W2059273319","https://openalex.org/W2014650515"],"abstract_inverted_index":{"This":[0],"article":[1],"presents":[2],"a":[3,45,60,77,112,154],"novel":[4,78],"identification":[5,165],"approach":[6,124],"which":[7,85,187],"can":[8,212],"deal":[9],"with":[10,180],"nonlinear":[11,156],"and":[12,43,95],"time-varying":[13],"characteristics":[14],"of":[15,30,40,55,65,92,106,131,162,194,220],"complex":[16,155],"dynamic":[17],"systems,":[18],"especially":[19],"an":[20],"aerial":[21],"vehicle":[22],"in":[23,69,121],"the":[24,41,53,56,70,88,96,103,107,122,127,132,140,148,160,163,168,172,183,191,195,204,217],"entire":[25],"flight":[26],"envelope.":[27],"A":[28],"set":[29],"local":[31,57,67,104,133,192],"sub-models":[32],"are":[33,100,177,188],"first":[34],"developed":[35],"at":[36,135],"different":[37],"operating":[38],"points":[39],"system,":[42],"subsequently":[44],"self-organizing":[46,79,142,209],"multi-model":[47,72,143,197,210],"ensemble":[48,73,144,211],"is":[49,74,119,145],"introduced":[50,123,141,196,205],"to":[51,125,147,158],"aggregate":[52],"outputs":[54],"models":[58,68,105,134,193],"as":[59,102,153,190,216],"single":[61],"model.":[62],"The":[63,199],"number":[64],"employed":[66,189],"proposed":[71,108,164],"optimized":[75],"using":[76],"approach.":[80,166],"Also,":[81],"wavelet":[82,97,184,206],"neural":[83,93,175,185,207],"networks,":[84,186],"combine":[86],"both":[87],"universal":[89],"approximation":[90],"property":[91],"networks":[94,176],"decomposition":[98],"capability,":[99],"used":[101,214],"method.":[109],"In":[110],"addition,":[111],"generalized":[113],"online":[114],"sequential":[115],"extreme":[116],"learning":[117],"machine":[118],"adopted":[120],"determine":[126],"optimal":[128],"validity":[129],"function":[130],"each":[136],"time":[137],"step.":[138],"Finally,":[139],"applied":[146],"NASA":[149],"Generic":[150],"Transport":[151],"Model":[152],"system":[157],"demonstrate":[159],"effectiveness":[161],"Furthermore,":[167],"results":[169,201],"obtained":[170],"from":[171,182],"conventional":[173],"artificial":[174],"carefully":[178],"compared":[179],"those":[181],"ensemble.":[198],"simulation":[200],"suggest":[202],"that":[203],"network\u2013based":[208],"be":[213],"satisfactorily":[215],"prediction":[218,226],"model":[219],"model-based":[221],"control":[222],"systems":[223],"for":[224],"long":[225],"horizons.":[227]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}