{"id":"https://openalex.org/W2131559703","doi":"https://doi.org/10.1109/cdc.2010.5718011","title":"Nonlinear hybrid system identification with kernel models","display_name":"Nonlinear hybrid system identification with kernel models","publication_year":2010,"publication_date":"2010-12-01","ids":{"openalex":"https://openalex.org/W2131559703","doi":"https://doi.org/10.1109/cdc.2010.5718011","mag":"2131559703"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2010.5718011","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2010.5718011","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"49th 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/A5002662383","display_name":"Fabien Lauer","orcid":"https://orcid.org/0000-0002-2047-0734"},"institutions":[{"id":"https://openalex.org/I4210121838","display_name":"Laboratoire Lorrain de Recherche en Informatique et ses Applications","ror":"https://ror.org/02vnf0c38","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I277688954","https://openalex.org/I4210107720","https://openalex.org/I4210121838","https://openalex.org/I4210159245","https://openalex.org/I90183372"]},{"id":"https://openalex.org/I90183372","display_name":"Universit\u00e9 de Lorraine","ror":"https://ror.org/04vfs2w97","country_code":"FR","type":"education","lineage":["https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Fabien Lauer","raw_affiliation_strings":["LORIA, Universit\u00e9 Henri Poincar\u00e9, Nancy, France","Loria, Universit\u00e9 Henri Poincar\u00e9 Nancy 1, France#TAB#"],"affiliations":[{"raw_affiliation_string":"LORIA, Universit\u00e9 Henri Poincar\u00e9, Nancy, France","institution_ids":["https://openalex.org/I90183372","https://openalex.org/I4210121838"]},{"raw_affiliation_string":"Loria, Universit\u00e9 Henri Poincar\u00e9 Nancy 1, France#TAB#","institution_ids":["https://openalex.org/I90183372","https://openalex.org/I4210121838"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110941908","display_name":"G\u00e9rard Bloch","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210110792","display_name":"Centre de Recherche en Automatique de Nancy","ror":"https://ror.org/022r5hc56","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210099203","https://openalex.org/I4210100260","https://openalex.org/I4210110792","https://openalex.org/I4210159245","https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gerard Bloch","raw_affiliation_strings":["Centre de Recherche en Automatique de Nancy (CRAN UMR 7039), CNRS, Nancy University, France","Centre de Recherche en Automatique de Nancy (CRAN - UMR 7039), Nancy-University, CNRS, France"],"affiliations":[{"raw_affiliation_string":"Centre de Recherche en Automatique de Nancy (CRAN UMR 7039), CNRS, Nancy University, France","institution_ids":["https://openalex.org/I4210110792","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Centre de Recherche en Automatique de Nancy (CRAN - UMR 7039), Nancy-University, CNRS, France","institution_ids":["https://openalex.org/I4210110792","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011256828","display_name":"Ren\u00e9 Vidal","orcid":"https://orcid.org/0000-0003-1838-0761"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rene Vidal","raw_affiliation_strings":["Center of Imaging Science, Department of Biomedical Engineering, Johns Hopkins University, USA","Center for Imaging Science, Department of Biomedical Engineering, Johns Hopkins University, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Center of Imaging Science, Department of Biomedical Engineering, Johns Hopkins University, USA","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"Center for Imaging Science, Department of Biomedical Engineering, Johns Hopkins University, USA#TAB#","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5002662383"],"corresponding_institution_ids":["https://openalex.org/I4210121838","https://openalex.org/I90183372"],"apc_list":null,"apc_paid":null,"fwci":2.9152,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.91959728,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"696","last_page":"701"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9990000128746033,"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":0.9990000128746033,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9776999950408936,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9490000009536743,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.7498934864997864},{"id":"https://openalex.org/keywords/nonlinear-system-identification","display_name":"Nonlinear system identification","score":0.6993789672851562},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6047443151473999},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.5551319122314453},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5225369930267334},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.484406054019928},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44483089447021484},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.43376386165618896},{"id":"https://openalex.org/keywords/hybrid-system","display_name":"Hybrid system","score":0.4327714443206787},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42271688580513},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.42241644859313965},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.34060919284820557},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.24476087093353271},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21763697266578674},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14413541555404663}],"concepts":[{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.7498934864997864},{"id":"https://openalex.org/C22157029","wikidata":"https://www.wikidata.org/wiki/Q17080460","display_name":"Nonlinear system identification","level":4,"score":0.6993789672851562},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6047443151473999},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.5551319122314453},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5225369930267334},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.484406054019928},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44483089447021484},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.43376386165618896},{"id":"https://openalex.org/C50897621","wikidata":"https://www.wikidata.org/wiki/Q2665508","display_name":"Hybrid system","level":2,"score":0.4327714443206787},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42271688580513},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.42241644859313965},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.34060919284820557},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.24476087093353271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21763697266578674},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14413541555404663},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc.2010.5718011","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2010.5718011","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"49th IEEE Conference on Decision and Control (CDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W202780759","https://openalex.org/W1496317909","https://openalex.org/W1498831180","https://openalex.org/W1561822031","https://openalex.org/W1592592706","https://openalex.org/W1884972292","https://openalex.org/W1977918122","https://openalex.org/W1993914061","https://openalex.org/W2005160707","https://openalex.org/W2007093507","https://openalex.org/W2023916691","https://openalex.org/W2036492038","https://openalex.org/W2074586453","https://openalex.org/W2084029701","https://openalex.org/W2130788193","https://openalex.org/W2138353699","https://openalex.org/W2153635508","https://openalex.org/W2156909104","https://openalex.org/W2281457414","https://openalex.org/W2799061466","https://openalex.org/W3120421331","https://openalex.org/W4205687621","https://openalex.org/W6608229234","https://openalex.org/W6651825916","https://openalex.org/W6669245464"],"related_works":["https://openalex.org/W2152282424","https://openalex.org/W2091914113","https://openalex.org/W564324191","https://openalex.org/W2021395081","https://openalex.org/W4386033416","https://openalex.org/W2004841036","https://openalex.org/W1595492935","https://openalex.org/W1987213476","https://openalex.org/W176335707","https://openalex.org/W4245871790"],"abstract_inverted_index":{"This":[0],"paper":[1],"focuses":[2],"on":[3,26,94,127,146],"the":[4,18,41,51,55,75,80,89,92,111,116,141,150],"identification":[5,151],"of":[6,20,57,72,91,118,140,152],"nonlinear":[7,12,60,99,153],"hybrid":[8,84],"systems":[9],"involving":[10,149],"unknown":[11,49],"dynamics.":[13],"The":[14,138],"proposed":[15,133],"method":[16,93],"extends":[17],"framework":[19],"by":[21],"introducing":[22],"nonparametric":[23],"models":[24],"based":[25,126],"kernel":[27,100],"functions":[28],"in":[29,74,107],"order":[30,108],"to":[31,40,87,109,134],"estimate":[32],"arbitrary":[33],"nonlinearities":[34],"without":[35],"prior":[36],"knowledge.":[37],"In":[38],"comparison":[39],"previous":[42],"work":[43],"of,":[44],"which":[45,64],"also":[46],"dealt":[47],"with":[48,98],"nonlinearities,":[50],"new":[52],"algorithm":[53,143],"assumes":[54],"form":[56],"an":[58],"unconstrained":[59],"continuous":[61],"optimization":[62,119],"problem,":[63],"can":[65],"be":[66],"efficiently":[67],"solved":[68],"for":[69,82],"moderate":[70],"numbers":[71],"parameters":[73],"model,":[76],"as":[77],"is":[78,105,132,144],"typically":[79],"case":[81],"linear":[83],"systems.":[85,156],"However,":[86],"maintain":[88],"efficiency":[90,139],"large":[95],"data":[96],"sets":[97],"models,":[101],"a":[102,128],"preprocessing":[103],"step":[104],"required":[106],"fix":[110],"model":[112],"size":[113],"and":[114],"limit":[115],"number":[117],"variables.":[120],"A":[121],"support":[122],"vector":[123],"selection":[124],"procedure,":[125],"maximum":[129],"entropy":[130],"criterion,":[131],"perform":[135],"this":[136],"step.":[137],"resulting":[142],"demonstrated":[145],"large-scale":[147],"experiments":[148],"switched":[154],"dynamical":[155]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
