{"id":"https://openalex.org/W2552864634","doi":"https://doi.org/10.1109/mlsp.2016.7738883","title":"A stable spline convex approach to hybrid systems identification","display_name":"A stable spline convex approach to hybrid systems identification","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2552864634","doi":"https://doi.org/10.1109/mlsp.2016.7738883","mag":"2552864634"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp.2016.7738883","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2016.7738883","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103084695","display_name":"Gianluigi Pillonetto","orcid":"https://orcid.org/0000-0002-1072-3144"},"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":"Gianluigi Pillonetto","raw_affiliation_strings":["Dept. of Information Engineering, University of Padova, Padova, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Information Engineering, University of Padova, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091863515","display_name":"Aleksandr Y. Aravkin","orcid":"https://orcid.org/0000-0002-1875-1801"},"institutions":[{"id":"https://openalex.org/I4210131439","display_name":"Applied Mathematics (United States)","ror":"https://ror.org/03seew607","country_code":"US","type":"company","lineage":["https://openalex.org/I4210131439"]},{"id":"https://openalex.org/I4210138199","display_name":"University of Washington Applied Physics Laboratory","ror":"https://ror.org/03d17d270","country_code":"US","type":"facility","lineage":["https://openalex.org/I201448701","https://openalex.org/I4210138199"]},{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aleksandr Y. Aravkin","raw_affiliation_strings":["Dept. of Applied Mathematics, University of Washington, Seattle, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Applied Mathematics, University of Washington, Seattle, USA","institution_ids":["https://openalex.org/I4210131439","https://openalex.org/I4210138199","https://openalex.org/I58610484"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"1","last_page":"6"},"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9976000189781189,"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"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9975000023841858,"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/affine-transformation","display_name":"Affine transformation","score":0.6627203226089478},{"id":"https://openalex.org/keywords/spline","display_name":"Spline (mechanical)","score":0.5540713667869568},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.5252173542976379},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4938831925392151},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.49178531765937805},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48616406321525574},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.4857097566127777},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4434956908226013},{"id":"https://openalex.org/keywords/impulse-response","display_name":"Impulse response","score":0.43947458267211914},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.43160712718963623},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41698768734931946},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.4119783639907837},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3409944176673889},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.2471698522567749},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0827382504940033},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.08199810981750488}],"concepts":[{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.6627203226089478},{"id":"https://openalex.org/C10390562","wikidata":"https://www.wikidata.org/wiki/Q581809","display_name":"Spline (mechanical)","level":2,"score":0.5540713667869568},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.5252173542976379},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4938831925392151},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.49178531765937805},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48616406321525574},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.4857097566127777},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4434956908226013},{"id":"https://openalex.org/C72279823","wikidata":"https://www.wikidata.org/wiki/Q1139726","display_name":"Impulse response","level":2,"score":0.43947458267211914},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.43160712718963623},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41698768734931946},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.4119783639907837},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3409944176673889},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2471698522567749},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0827382504940033},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.08199810981750488},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/mlsp.2016.7738883","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2016.7738883","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:www.research.unipd.it:11577/3389505","is_oa":false,"landing_page_url":"http://hdl.handle.net/11577/3389505","pdf_url":null,"source":{"id":"https://openalex.org/S4377196283","display_name":"Research Padua  Archive (University of Padua)","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":18,"referenced_works":["https://openalex.org/W1601426486","https://openalex.org/W1896002532","https://openalex.org/W1968128579","https://openalex.org/W1971912051","https://openalex.org/W1977918122","https://openalex.org/W1992283848","https://openalex.org/W1993914061","https://openalex.org/W2007093507","https://openalex.org/W2021065610","https://openalex.org/W2037436377","https://openalex.org/W2092766760","https://openalex.org/W2112027492","https://openalex.org/W2138353699","https://openalex.org/W2148069367","https://openalex.org/W2161083632","https://openalex.org/W2562854303","https://openalex.org/W2951506562","https://openalex.org/W6681795882"],"related_works":["https://openalex.org/W2140186469","https://openalex.org/W4390421286","https://openalex.org/W4280563792","https://openalex.org/W2380529683","https://openalex.org/W2130355919","https://openalex.org/W1029391197","https://openalex.org/W2385614044","https://openalex.org/W2803806910","https://openalex.org/W2054616108","https://openalex.org/W2375002642"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"propose":[4],"a":[5,36,73],"new":[6,99],"regularized":[7],"technique":[8],"for":[9],"identification":[10],"of":[11,45,55,68,75,97],"piecewise":[12,91],"affine":[13,57,92],"systems":[14,93],"which":[15,39,77],"combines":[16],"the":[17,24,43,53,95,98],"\u2113":[18],"<sub":[19],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[20],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[21],"loss":[22],"and":[23,59,85],"recently":[25],"introduced":[26],"stable":[27],"spline":[28],"kernel.":[29],"This":[30],"latter":[31],"is":[32],"used":[33],"to":[34],"define":[35],"quadratic":[37],"penalty":[38],"embeds":[40],"information":[41],"on":[42],"stability":[44],"each":[46,56],"isolated":[47],"subsystem.":[48],"Our":[49],"procedure":[50],"determines":[51],"sequentially":[52],"complexity":[54],"subsystem,":[58],"then":[60],"its":[61],"impulse":[62],"response,":[63],"estimating":[64],"from":[65],"data":[66],"couples":[67],"hyperparameters.":[69],"The":[70],"algorithm":[71],"involves":[72],"series":[74],"operations":[76],"promote":[78],"intra-submodel":[79],"regularization":[80],"hence":[81],"favoring":[82],"subsystems":[83],"detection":[84],"reconstruction.":[86],"Numerical":[87],"experiments":[88],"involving":[89],"high-order":[90],"show":[94],"effectiveness":[96],"approach.":[100]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2016-11-30T00:00:00"}
