{"id":"https://openalex.org/W2886448935","doi":"https://doi.org/10.23919/acc.2018.8431749","title":"Identification of State-space Linear Time-varying Systems with Sum-of-norms Regularization","display_name":"Identification of State-space Linear Time-varying Systems with Sum-of-norms Regularization","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2886448935","doi":"https://doi.org/10.23919/acc.2018.8431749","mag":"2886448935"},"language":"en","primary_location":{"id":"doi:10.23919/acc.2018.8431749","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2018.8431749","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Annual American Control Conference (ACC)","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/A5022966275","display_name":"Cassiano O. Becker","orcid":"https://orcid.org/0000-0003-4280-7411"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Cassiano O. Becker","raw_affiliation_strings":["Department of Electrical and Systems Engineering, University of Pennsylvania"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Systems Engineering, University of Pennsylvania","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057261458","display_name":"V\u00edctor M. Preciado","orcid":"https://orcid.org/0000-0001-9998-8730"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Victor M. Preciado","raw_affiliation_strings":["Department of Electrical and Systems Engineering, University of Pennsylvania"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Systems Engineering, University of Pennsylvania","institution_ids":["https://openalex.org/I79576946"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5022966275"],"corresponding_institution_ids":["https://openalex.org/I79576946"],"apc_list":null,"apc_paid":null,"fwci":0.1839,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.49035845,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2833","last_page":"2838"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9980999827384949,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9957000017166138,"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/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.6000544428825378},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5956133604049683},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.584383487701416},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.5390588045120239},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.4905990660190582},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.4704899787902832},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4606468975543976},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.45544955134391785},{"id":"https://openalex.org/keywords/monotone-polygon","display_name":"Monotone polygon","score":0.451330304145813},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43779414892196655},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.43364274501800537},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.42928099632263184},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.4164612591266632},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4118824899196625},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.41175150871276855},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.41072535514831543},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.21228846907615662},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20363622903823853},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.1465258002281189}],"concepts":[{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.6000544428825378},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5956133604049683},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.584383487701416},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.5390588045120239},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.4905990660190582},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.4704899787902832},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4606468975543976},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.45544955134391785},{"id":"https://openalex.org/C2834757","wikidata":"https://www.wikidata.org/wiki/Q4925424","display_name":"Monotone polygon","level":2,"score":0.451330304145813},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43779414892196655},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.43364274501800537},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.42928099632263184},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.4164612591266632},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4118824899196625},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.41175150871276855},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.41072535514831543},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.21228846907615662},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20363622903823853},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.1465258002281189},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/acc.2018.8431749","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2018.8431749","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Annual American Control Conference (ACC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.4399999976158142,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W88520345","https://openalex.org/W588139629","https://openalex.org/W1568670172","https://openalex.org/W1626341607","https://openalex.org/W1663973292","https://openalex.org/W1963718895","https://openalex.org/W1971912051","https://openalex.org/W2003967703","https://openalex.org/W2009086942","https://openalex.org/W2011691068","https://openalex.org/W2025587889","https://openalex.org/W2027986759","https://openalex.org/W2046278043","https://openalex.org/W2047102900","https://openalex.org/W2049633694","https://openalex.org/W2094227853","https://openalex.org/W2117853077","https://openalex.org/W2118237987","https://openalex.org/W2319760728","https://openalex.org/W2494411966","https://openalex.org/W2508393166","https://openalex.org/W2615836285","https://openalex.org/W2913465992","https://openalex.org/W4231367092","https://openalex.org/W4232464081","https://openalex.org/W4233159590","https://openalex.org/W4250589301"],"related_works":["https://openalex.org/W4301895170","https://openalex.org/W2163760347","https://openalex.org/W2963936214","https://openalex.org/W2610026222","https://openalex.org/W2784024314","https://openalex.org/W1970485118","https://openalex.org/W2751326998","https://openalex.org/W2055418304","https://openalex.org/W2055780997","https://openalex.org/W2320891258"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,28,32,44,50,54,65,75,83],"method":[6],"for":[7,13,81],"the":[8,21,98,101,122],"estimation":[9,60],"of":[10,74,77,100,124],"state-space":[11],"models":[12],"linear":[14],"time-varying":[15],"systems":[16],"using":[17,91],"sum-of-norms":[18,55],"regularization.":[19],"Specifically,":[20],"system":[22],"parameters":[23],"are":[24,94],"assumed":[25],"to":[26,49,96,108],"follow":[27],"probability":[29],"distribution":[30],"with":[31,64],"Markovian":[33],"dependency":[34],"across":[35],"time":[36],"samples.":[37],"This":[38],"prior":[39],"information":[40],"is":[41,62,86,106],"incorporated":[42],"in":[43,112,117,121],"Bayesian":[45],"framework,":[46],"which":[47,82],"leads":[48],"maximum-a-posteriori":[51],"criterion":[52],"involving":[53],"penalty":[56],"term.":[57],"The":[58,103],"resulting":[59],"problem":[61],"addressed":[63],"generalized":[66],"expectation":[67],"maximization":[68,71],"algorithm,":[69],"whose":[70],"step":[72],"consists":[73],"`difference":[76],"convex'":[78],"optimization":[79],"problem,":[80],"monotone":[84],"procedure":[85],"established.":[87],"Controlled":[88],"computational":[89],"experiments":[90],"synthetic":[92],"data":[93],"performed":[95],"show":[97],"effectiveness":[99],"approach.":[102],"proposed":[104],"algorithm":[105],"expected":[107],"find":[109],"practical":[110],"application":[111],"modeling":[113],"dynamical":[114],"processes":[115],"arising":[116],"different":[118],"domains,":[119],"particularly":[120],"fields":[123],"economics":[125],"and":[126],"neuroscience.":[127]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}