{"id":"https://openalex.org/W2061794271","doi":"https://doi.org/10.1002/tee.20323","title":"Identification of continuous\u2010time nonlinear systems by using a gaussian process model","display_name":"Identification of continuous\u2010time nonlinear systems by using a gaussian process model","publication_year":2008,"publication_date":"2008-10-27","ids":{"openalex":"https://openalex.org/W2061794271","doi":"https://doi.org/10.1002/tee.20323","mag":"2061794271"},"language":"en","primary_location":{"id":"doi:10.1002/tee.20323","doi":"https://doi.org/10.1002/tee.20323","is_oa":false,"landing_page_url":"https://doi.org/10.1002/tee.20323","pdf_url":null,"source":{"id":"https://openalex.org/S10731693","display_name":"IEEJ Transactions on Electrical and Electronic Engineering","issn_l":"1931-4973","issn":["1931-4973","1931-4981"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-d","jufo-1","norway-1","poland-40","russia-white-list-3"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEJ Transactions on Electrical and Electronic Engineering","raw_type":"journal-article"},"volume":null,"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/A5010349380","display_name":"Tomohiro Hachino","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I107139324","display_name":"Kagoshima University","ror":"https://ror.org/03ss88z23","country_code":"JP","type":"education","lineage":["https://openalex.org/I107139324"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Tomohiro Hachino","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Kagoshima University, 1-21-40, Korimoto, Kagoshima 890-0065"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Kagoshima University, 1-21-40, Korimoto, Kagoshima 890-0065","institution_ids":["https://openalex.org/I107139324"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102401307","display_name":"Hitoshi Takata","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I107139324","display_name":"Kagoshima University","ror":"https://ror.org/03ss88z23","country_code":"JP","type":"education","lineage":["https://openalex.org/I107139324"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hitoshi Takata","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Kagoshima University, 1-21-40, Korimoto, Kagoshima 890-0065"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Kagoshima University, 1-21-40, Korimoto, Kagoshima 890-0065","institution_ids":["https://openalex.org/I107139324"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5010349380"],"corresponding_institution_ids":["https://openalex.org/I107139324"],"apc_list":{"value":2900,"currency":"USD","value_usd":2900},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.09612272,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"3","issue":"6","first_page":"620","last_page":"628"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.5648999810218811,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.5648999810218811,"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/T11236","display_name":"Control Systems and Identification","score":0.4336000084877014,"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":0.0003000000142492354,"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/nonlinear-continuous-time-systems","display_name":"continuous-time nonlinear systems","score":0.8489999771118164},{"id":"https://openalex.org/keywords/system-identification","display_name":"system identification","score":0.9380000233650208},{"id":"https://openalex.org/keywords/gaussian-processes","display_name":"Gaussian processes","score":0.8610000014305115},{"id":"https://openalex.org/keywords/nonparametric-identification","display_name":"nonparametric identification","score":0.9179999828338623},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"genetic algorithm","score":0.9419999718666077},{"id":"https://openalex.org/keywords/confidence-measures","display_name":"confidence measures","score":0.5630000233650208}],"concepts":[{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.7057077884674072},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.6082912087440491},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5623332858085632},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5547312498092651},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.5392031073570251},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.47928255796432495},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4522285759449005},{"id":"https://openalex.org/C137250428","wikidata":"https://www.wikidata.org/wiki/Q5178897","display_name":"Covariance function","level":3,"score":0.44760650396347046},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.44168782234191895},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4367374777793884},{"id":"https://openalex.org/C51267290","wikidata":"https://www.wikidata.org/wiki/Q5527848","display_name":"Gaussian random field","level":4,"score":0.41417625546455383},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3938227593898773},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3560580313205719},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2588326632976532},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.2563212215900421},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.18677303194999695},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/tee.20323","doi":"https://doi.org/10.1002/tee.20323","is_oa":false,"landing_page_url":"https://doi.org/10.1002/tee.20323","pdf_url":null,"source":{"id":"https://openalex.org/S10731693","display_name":"IEEJ Transactions on Electrical and Electronic Engineering","issn_l":"1931-4973","issn":["1931-4973","1931-4981"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-d","jufo-1","norway-1","poland-40","russia-white-list-3"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEJ Transactions on Electrical and Electronic Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1746819321","https://openalex.org/W1975100741","https://openalex.org/W1977352004","https://openalex.org/W2009334577","https://openalex.org/W2033868653","https://openalex.org/W2034013221","https://openalex.org/W2049771978","https://openalex.org/W2098398123","https://openalex.org/W2104533781","https://openalex.org/W2126877537","https://openalex.org/W2138484437","https://openalex.org/W2143266849","https://openalex.org/W2146895141","https://openalex.org/W2166063021","https://openalex.org/W2333986615","https://openalex.org/W2509616612","https://openalex.org/W2509716315","https://openalex.org/W2618155883","https://openalex.org/W2724655988","https://openalex.org/W2904816695","https://openalex.org/W3014600732","https://openalex.org/W3023540311","https://openalex.org/W3163218466","https://openalex.org/W4211049957"],"related_works":["https://openalex.org/W2323828536","https://openalex.org/W2779953065","https://openalex.org/W2945029714","https://openalex.org/W4234009580","https://openalex.org/W7100983075","https://openalex.org/W2006366077","https://openalex.org/W2092460489","https://openalex.org/W3046410659","https://openalex.org/W7099250426","https://openalex.org/W2126877537"],"abstract_inverted_index":{"Abstract":[0],"This":[1],"paper":[2],"deals":[3],"with":[4],"a":[5,14],"nonparametric":[6],"identification":[7,38],"of":[8,36,43,54,62,74,82,85],"continuous\u2010time":[9],"nonlinear":[10,41,65],"systems":[11],"by":[12,29,69,88],"using":[13],"Gaussian":[15,25,56,76],"process":[16,26],"model.":[17],"Genetic":[18],"algorithm":[19],"is":[20,47,67],"applied":[21],"to":[22],"train":[23],"the":[24,31,37,44,50,55,59,63,70,75],"prior":[27],"model":[28],"minimizing":[30],"negative":[32],"log":[33],"marginal":[34],"likelihood":[35],"data.":[39],"The":[40],"term":[42],"objective":[45],"system":[46],"estimated":[48,64],"as":[49],"predictive":[51,71],"mean":[52],"function":[53,66,73],"process,":[57],"and":[58],"confidence":[60],"measure":[61],"given":[68],"covariance":[72],"process.":[77],"Copyright":[78],"\u00a9":[79],"2008":[80],"Institute":[81],"Electrical":[83],"Engineers":[84],"Japan.":[86],"Published":[87],"John":[89],"Wiley":[90],"&":[91],"Sons,":[92],"Inc.":[93]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2016-06-24T00:00:00"}
