{"id":"https://openalex.org/W2290989946","doi":"https://doi.org/10.1109/cdc.2015.7402844","title":"Spectral analysis of the DC kernel for regularized system identification","display_name":"Spectral analysis of the DC kernel for regularized system identification","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2290989946","doi":"https://doi.org/10.1109/cdc.2015.7402844","mag":"2290989946"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2015.7402844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2015.7402844","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 54th IEEE Conference on Decision and Control (CDC)","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/A5102935603","display_name":"Tianshi Chen","orcid":"https://orcid.org/0000-0001-8655-2655"},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Tianshi Chen","raw_affiliation_strings":["Division of Automatic Control, Link\u00f6ping University, Link\u00f6ping, Sweden"],"affiliations":[{"raw_affiliation_string":"Division of Automatic Control, Link\u00f6ping University, Link\u00f6ping, Sweden","institution_ids":["https://openalex.org/I102134673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103084695","display_name":"Gianluigi Pillonetto","orcid":"https://orcid.org/0000-0002-1072-3144"},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Gianluigi Pillonetto","raw_affiliation_strings":["Division of Automatic Control, Link\u00f6ping University, Link\u00f6ping, Sweden"],"affiliations":[{"raw_affiliation_string":"Division of Automatic Control, Link\u00f6ping University, Link\u00f6ping, Sweden","institution_ids":["https://openalex.org/I102134673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062648585","display_name":"Alessandro Chiuso","orcid":"https://orcid.org/0000-0002-4410-6101"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessandro Chiuso","raw_affiliation_strings":["Department of Information Engineering, University of Padova, Padova, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078405221","display_name":"Lennart Ljung","orcid":"https://orcid.org/0000-0003-4881-8955"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lennart Ljung","raw_affiliation_strings":["Department of Information Engineering, University of Padova, Padova, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102935603"],"corresponding_institution_ids":["https://openalex.org/I102134673"],"apc_list":null,"apc_paid":null,"fwci":2.0196,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.88397043,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"13","issue":null,"first_page":"4017","last_page":"4022"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9998999834060669,"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":0.998199999332428,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/kernel","display_name":"Kernel (algebra)","score":0.6411783695220947},{"id":"https://openalex.org/keywords/kernel-embedding-of-distributions","display_name":"Kernel embedding of distributions","score":0.6302562952041626},{"id":"https://openalex.org/keywords/kernel-principal-component-analysis","display_name":"Kernel principal component analysis","score":0.6061125993728638},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5982475280761719},{"id":"https://openalex.org/keywords/variable-kernel-density-estimation","display_name":"Variable kernel density estimation","score":0.5745912790298462},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.560238778591156},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.5431761145591736},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5021555423736572},{"id":"https://openalex.org/keywords/eigenfunction","display_name":"Eigenfunction","score":0.4302375912666321},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.3853626847267151},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3594624996185303},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27901318669319153},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2644173502922058},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16754722595214844},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.12806597352027893}],"concepts":[{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6411783695220947},{"id":"https://openalex.org/C134517425","wikidata":"https://www.wikidata.org/wiki/Q16000131","display_name":"Kernel embedding of distributions","level":4,"score":0.6302562952041626},{"id":"https://openalex.org/C182335926","wikidata":"https://www.wikidata.org/wiki/Q17093020","display_name":"Kernel principal component analysis","level":4,"score":0.6061125993728638},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5982475280761719},{"id":"https://openalex.org/C195699287","wikidata":"https://www.wikidata.org/wiki/Q7915722","display_name":"Variable kernel density estimation","level":4,"score":0.5745912790298462},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.560238778591156},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.5431761145591736},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5021555423736572},{"id":"https://openalex.org/C128803854","wikidata":"https://www.wikidata.org/wiki/Q1307821","display_name":"Eigenfunction","level":3,"score":0.4302375912666321},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.3853626847267151},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3594624996185303},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27901318669319153},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2644173502922058},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16754722595214844},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.12806597352027893},{"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/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cdc.2015.7402844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2015.7402844","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 54th IEEE Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},{"id":"pmh:oai:www.research.unipd.it:11577/3167578","is_oa":false,"landing_page_url":"http://hdl.handle.net/11577/3167578","pdf_url":null,"source":{"id":"https://openalex.org/S4306402547","display_name":"Padua Research Archive (University of Padova)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W93885277","https://openalex.org/W178056938","https://openalex.org/W296863324","https://openalex.org/W565862821","https://openalex.org/W587146379","https://openalex.org/W1484503832","https://openalex.org/W1515361063","https://openalex.org/W1536252645","https://openalex.org/W1746819321","https://openalex.org/W1965324089","https://openalex.org/W1968128579","https://openalex.org/W1986280275","https://openalex.org/W2006373179","https://openalex.org/W2007118159","https://openalex.org/W2014158063","https://openalex.org/W2021065610","https://openalex.org/W2021629366","https://openalex.org/W2037479549","https://openalex.org/W2064951599","https://openalex.org/W2083496527","https://openalex.org/W2086901931","https://openalex.org/W2092766760","https://openalex.org/W2161083632","https://openalex.org/W2163204284","https://openalex.org/W2963251850","https://openalex.org/W3134067276","https://openalex.org/W4211049957","https://openalex.org/W4233367026","https://openalex.org/W4235848843","https://openalex.org/W4245558064","https://openalex.org/W4249762338","https://openalex.org/W6666721809"],"related_works":["https://openalex.org/W1984421104","https://openalex.org/W2127229869","https://openalex.org/W2393746448","https://openalex.org/W2071590642","https://openalex.org/W2512565647","https://openalex.org/W2149803014","https://openalex.org/W2366185040","https://openalex.org/W2905418897","https://openalex.org/W2398887903","https://openalex.org/W2027376491"],"abstract_inverted_index":{"System":[0],"identification":[1],"with":[2],"regularization":[3,30],"methods":[4],"has":[5,50],"attracted":[6],"increasing":[7],"attention":[8],"recently":[9],"and":[10,32,71],"is":[11,91],"a":[12,34],"complement":[13],"to":[14],"the":[15,28,38,62,69,75,81,85,92],"current":[16],"standard":[17],"maximum":[18],"likelihood/prediction":[19],"error":[20],"method.":[21],"In":[22,59],"this":[23],"paper,":[24],"we":[25,67,79],"focus":[26],"on":[27],"kernel-based":[29],"method":[31],"give":[33],"spectral":[35],"analysis":[36],"of":[37,46,64,74,84],"so-called":[39],"diagonal":[40],"correlated":[41],"(DC)":[42],"kernel,":[43],"one":[44],"family":[45],"kernel":[47],"structures":[48],"that":[49],"been":[51],"proven":[52],"useful":[53],"for":[54],"linear":[55],"time-invariant":[56],"system":[57],"identification.":[58],"particular,":[60],"using":[61],"theory":[63],"Bessel":[65],"functions,":[66],"derive":[68,80],"eigenvalues":[70],"corresponding":[72],"eigenfunctions":[73],"DC":[76,93],"kernel.":[77,94],"Accordingly,":[78],"Karhunen-Lo\u00e8ve":[82],"expansion":[83],"stochastic":[86],"process":[87],"whose":[88],"covariance":[89],"function":[90]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
