{"id":"https://openalex.org/W2020269396","doi":"https://doi.org/10.1109/ecc.2014.6862636","title":"Parsimonious model identification via atomic norm minimization","display_name":"Parsimonious model identification via atomic norm minimization","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2020269396","doi":"https://doi.org/10.1109/ecc.2014.6862636","mag":"2020269396"},"language":"en","primary_location":{"id":"doi:10.1109/ecc.2014.6862636","doi":"https://doi.org/10.1109/ecc.2014.6862636","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ecc.2014.6862636","pdf_url":null,"source":{"id":"https://openalex.org/S4363608272","display_name":"European Control Conference (ECC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 European Control Conference (ECC)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5024360724","display_name":"Korkut Bekiroglu","orcid":"https://orcid.org/0000-0003-4582-0216","observed_orcids":["https://orcid.org/0000-0003-4582-0216"]},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"K. Bekiroglu","raw_affiliation_strings":["Department of Electrical Engineering, University Park, PA, USA","Dept. of Electr. Eng., Penn State Univ., University Park, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University Park, PA, USA","institution_ids":[]},{"raw_affiliation_string":"Dept. of Electr. Eng., Penn State Univ., University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100611260","display_name":"Burak Y\u0131lmaz","orcid":"https://orcid.org/0000-0001-6578-916X","observed_orcids":["https://orcid.org/0000-0001-6578-916X"]},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"B. Yilmaz","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA","Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035668981","display_name":"Constantino M. Lagoa","orcid":"https://orcid.org/0000-0001-6871-3240","observed_orcids":["https://orcid.org/0000-0001-6871-3240"]},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C. Lagoa","raw_affiliation_strings":["Department of Electrical Engineering, University Park, PA, USA","Dept. of Electr. Eng., Penn State Univ., University Park, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University Park, PA, USA","institution_ids":[]},{"raw_affiliation_string":"Dept. of Electr. Eng., Penn State Univ., University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074266892","display_name":"Mario Sznaier","orcid":"https://orcid.org/0000-0003-4439-3988","observed_orcids":["https://orcid.org/0000-0003-4439-3988"]},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Sznaier","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA","Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3456,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.88291441,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":"24","issue":null,"first_page":"2392","last_page":"2397"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.5824999809265137,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.5824999809265137,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.38109999895095825,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.009700000286102295,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/atomic-norm-minimization","display_name":"atomic norm minimization","score":0.8410000205039978},{"id":"https://openalex.org/keywords/linear-time-invariant-systems","display_name":"linear time-invariant systems","score":0.8360000252723694},{"id":"https://openalex.org/keywords/sparse-representation","display_name":"sparse representation","score":0.6489999890327454},{"id":"https://openalex.org/keywords/stability-constraints","display_name":"stability constraints","score":0.8220000267028809},{"id":"https://openalex.org/keywords/model-order-selection","display_name":"model order selection","score":0.7400000095367432},{"id":"https://openalex.org/keywords/non-uniform-sampling","display_name":"non-uniform sampling","score":0.9819999933242798},{"id":"https://openalex.org/keywords/unknown-initial-conditions","display_name":"unknown initial conditions","score":0.9359999895095825},{"id":"https://openalex.org/keywords/lightly-damped-structures","display_name":"lightly damped structures","score":0.9240000247955322},{"id":"https://openalex.org/keywords/structural-dynamics-identification","display_name":"structural dynamics identification","score":0.44699999690055847}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5941081643104553},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.5302531123161316},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4743334650993347},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.44681409001350403},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.4460153877735138},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.44074591994285583},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.43932002782821655},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4351906478404999},{"id":"https://openalex.org/C73301696","wikidata":"https://www.wikidata.org/wiki/Q5469984","display_name":"Formalism (music)","level":3,"score":0.4138685464859009},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.4134320616722107},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.40963587164878845},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2984071373939514},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18254560232162476},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13088005781173706},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C558565934","wikidata":"https://www.wikidata.org/wiki/Q2743","display_name":"Musical","level":2,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ecc.2014.6862636","doi":"https://doi.org/10.1109/ecc.2014.6862636","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ecc.2014.6862636","pdf_url":null,"source":{"id":"https://openalex.org/S4363608272","display_name":"European Control Conference (ECC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 European Control Conference (ECC)","raw_type":"proceedings-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":20,"referenced_works":["https://openalex.org/W1550510068","https://openalex.org/W1896002532","https://openalex.org/W1963665337","https://openalex.org/W2006320229","https://openalex.org/W2032415923","https://openalex.org/W2059283452","https://openalex.org/W2074471762","https://openalex.org/W2086241869","https://openalex.org/W2093328751","https://openalex.org/W2097391142","https://openalex.org/W2106386783","https://openalex.org/W2130212796","https://openalex.org/W2136885855","https://openalex.org/W2152734016","https://openalex.org/W2155011318","https://openalex.org/W2167077875","https://openalex.org/W2168893847","https://openalex.org/W2169224633","https://openalex.org/W2170349591","https://openalex.org/W3158545573"],"related_works":["https://openalex.org/W2733635535","https://openalex.org/W2786215176","https://openalex.org/W2093328751","https://openalex.org/W2086241869","https://openalex.org/W1963665337","https://openalex.org/W3119443357","https://openalex.org/W3011971174","https://openalex.org/W2997839135","https://openalex.org/W4314947404","https://openalex.org/W2322490198"],"abstract_inverted_index":{"During":[0],"the":[1,13,62,66,75,82,129,133,149,153,165,183],"past":[2],"few":[3],"years":[4],"a":[5,78,96,121,140,177,219],"considerably":[6],"research":[7],"effort":[8],"has":[9,124],"been":[10,125],"devoted":[11],"to":[12,61,106,112,157,176,201],"problem":[14,24],"of":[15,131,135,143,167,218],"identifying":[16],"parsimonious":[17],"models":[18],"from":[19,224],"experimental":[20,67],"data.":[21,68],"Since":[22],"this":[23,102,161,168,196],"is":[25,52,104],"generically":[26],"non-convex,":[27],"these":[28,44,57,118],"approaches":[29,45],"typically":[30],"rely":[31],"on":[32,128],"relaxations":[33],"such":[34],"as":[35,139],"Group":[36],"Lasso":[37],"or":[38],"nuclear":[39],"norm":[40,155],"minimization.":[41],"However,":[42,100],"while":[43],"usually":[46],"work":[47],"well":[48],"in":[49,81],"practice,":[50],"there":[51],"no":[53],"guarantee":[54],"that":[55,151,173,181],"using":[56,95,186],"surrogates":[58],"will":[59],"lead":[60],"simplest":[63],"model":[64,88],"explaining":[65],"In":[69,160,194],"addition,":[70,195],"incorporating":[71],"stability":[72,86,192],"constraints":[73,90],"into":[74],"formalism":[76],"entails":[77],"substantial":[79],"increase":[80],"computational":[83,114],"complexity.":[84,115],"Alternatively":[85],"and":[87,148,171,189,205,226],"order":[89],"can":[91,198],"be":[92,199],"handled":[93],"directly":[94],"moments":[97],"based":[98,127],"approach.":[99],"presently":[101],"approach":[103,123,170,197],"limited":[105],"relatively":[107],"small":[108],"sized":[109],"problems,":[110],"due":[111],"its":[113],"Motivated":[116],"by":[117],"difficulties,":[119],"recently":[120],"new":[122,169],"proposed":[126],"idea":[130],"representing":[132],"response":[134],"an":[136],"LTI":[137],"system":[138],"linear":[141],"combination":[142],"suitably":[144],"chosen":[145],"objects":[146],"(atoms)":[147],"observation":[150],"minimizing":[152],"atomic":[154],"leads":[156,175],"sparse":[158],"representations.":[159],"paper":[162],"we":[163],"cover":[164],"fundamentals":[166],"show":[172],"it":[174],"very":[178,220],"efficient":[179],"algorithm,":[180],"avoids":[182],"need":[184],"for":[185],"regularization":[187],"steps":[188],"automatically":[190],"incorporates":[191],"constraints.":[193],"extended":[200],"accommodate":[202],"non-uniform":[203],"sampling":[204],"(unknown)":[206],"initial":[207],"conditions.":[208],"These":[209],"results":[210],"are":[211],"illustrated":[212],"with":[213],"several":[214],"examples,":[215],"including":[216],"identification":[217],"lightly":[221],"damped":[222],"structure":[223],"time":[225],"frequency":[227],"domain":[228],"measurements.":[229]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}