{"id":"https://openalex.org/W4206768536","doi":"https://doi.org/10.1109/ccta48906.2021.9658684","title":"A Kalman Filter for Online Calibration of Optimal Controllers","display_name":"A Kalman Filter for Online Calibration of Optimal Controllers","publication_year":2021,"publication_date":"2021-08-09","ids":{"openalex":"https://openalex.org/W4206768536","doi":"https://doi.org/10.1109/ccta48906.2021.9658684"},"language":"en","primary_location":{"id":"doi:10.1109/ccta48906.2021.9658684","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccta48906.2021.9658684","pdf_url":null,"source":{"id":"https://openalex.org/S4363608183","display_name":"2021 IEEE Conference on Control Technology and Applications (CCTA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"2021 IEEE Conference on Control Technology and Applications (CCTA)","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/A5061521720","display_name":"Marcel Menner","orcid":"https://orcid.org/0000-0003-3306-7730"},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Marcel Menner","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210159266"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090118616","display_name":"Karl Berntorp","orcid":"https://orcid.org/0000-0002-6809-6657"},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Karl Berntorp","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210159266"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004144091","display_name":"Stefano Di Cairano","orcid":"https://orcid.org/0000-0002-2363-2807"},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stefano Di Cairano","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210159266"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061521720"],"corresponding_institution_ids":["https://openalex.org/I4210159266"],"apc_list":null,"apc_paid":null,"fwci":0.8727,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68779124,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"37","issue":null,"first_page":"441","last_page":"446"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.9994999766349792,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9994999766349792,"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/T11236","display_name":"Control Systems and Identification","score":0.9991000294685364,"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":0.9980000257492065,"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/kalman-filter","display_name":"Kalman filter","score":0.7531635761260986},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7051208019256592},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.6456166505813599},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.5312903523445129},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5031387209892273},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4750896990299225},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.41472986340522766},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.3860001266002655},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3754380941390991},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23388367891311646},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20616862177848816},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.12402939796447754},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0861457884311676},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.0805099606513977}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.7531635761260986},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7051208019256592},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.6456166505813599},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.5312903523445129},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5031387209892273},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4750896990299225},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.41472986340522766},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3860001266002655},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3754380941390991},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23388367891311646},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20616862177848816},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.12402939796447754},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0861457884311676},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0805099606513977},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccta48906.2021.9658684","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccta48906.2021.9658684","pdf_url":null,"source":{"id":"https://openalex.org/S4363608183","display_name":"2021 IEEE Conference on Control Technology and Applications (CCTA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"2021 IEEE Conference on Control Technology and Applications (CCTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1572204513","https://openalex.org/W2014414177","https://openalex.org/W2037997802","https://openalex.org/W2049650637","https://openalex.org/W2094385794","https://openalex.org/W2106320154","https://openalex.org/W2109024385","https://openalex.org/W2346505884","https://openalex.org/W2501352389","https://openalex.org/W2503343795","https://openalex.org/W2737702598","https://openalex.org/W2754203428","https://openalex.org/W2904119718","https://openalex.org/W2942735643","https://openalex.org/W2992833799","https://openalex.org/W2998710335","https://openalex.org/W2999822534","https://openalex.org/W3008128154","https://openalex.org/W3011478909","https://openalex.org/W3033863102","https://openalex.org/W3090589902","https://openalex.org/W3103151316","https://openalex.org/W3104181348","https://openalex.org/W3105904426","https://openalex.org/W3153199159","https://openalex.org/W4206304540","https://openalex.org/W4250589301","https://openalex.org/W6774927760","https://openalex.org/W6784209798"],"related_works":["https://openalex.org/W3106461837","https://openalex.org/W4283700523","https://openalex.org/W3168182983","https://openalex.org/W4387079005","https://openalex.org/W4321472004","https://openalex.org/W4221166418","https://openalex.org/W2968265130","https://openalex.org/W1580685205","https://openalex.org/W3117893869","https://openalex.org/W2973085194"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3,74],"approach":[4,16,64,86],"for":[5,59,109],"the":[6,9,23,35,85,105],"calibration":[7],"of":[8,12,29],"cost":[10,24,91],"function":[11,25,92],"optimization-based":[13],"controllers.":[14],"The":[15,63],"uses":[17],"a":[18,66],"Kalman":[19],"filter":[20],"that":[21,84],"estimates":[22],"parameters":[26,36,93,106],"using":[27],"data":[28,48,67],"closed-loop":[30],"system":[31],"operation.":[32],"It":[33],"adapts":[34],"online":[37],"and":[38,51,73,117],"robustly,":[39],"provides":[40,65],"safety":[41],"guarantees,":[42],"is":[43,52,87,101,118],"computationally":[44],"efficient,":[45],"has":[46],"low":[47],"storage":[49],"requirements,":[50],"easy":[53],"to":[54,70,77,89,103,107,120],"implement":[55],"making":[56],"it":[57],"appealing":[58],"many":[60],"real-time":[61],"applications.":[62],"efficient":[68],"alternative":[69,76],"Bayesian":[71,99],"optimization":[72],"automated":[75],"learning":[78],"from":[79],"demonstrations.":[80],"Simulation":[81],"results":[82],"show":[83],"able":[88,102],"learn":[90],"quickly":[94],"(approximately":[95,111],"95\\%":[96],"faster":[97],"than":[98],"optimization),":[100],"adapt":[104],"compensate":[108],"disturbances":[110],"25\\%":[112],"improvement":[113],"on":[114],"tracking":[115],"precision),":[116],"robust":[119],"noise.":[121]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}