{"id":"https://openalex.org/W4294690575","doi":"https://doi.org/10.23919/acc53348.2022.9867326","title":"Control and Uncertainty Propagation in the Presence of Outliers by Utilizing Student-t Process Regression","display_name":"Control and Uncertainty Propagation in the Presence of Outliers by Utilizing Student-t Process Regression","publication_year":2022,"publication_date":"2022-06-08","ids":{"openalex":"https://openalex.org/W4294690575","doi":"https://doi.org/10.23919/acc53348.2022.9867326"},"language":"en","primary_location":{"id":"doi:10.23919/acc53348.2022.9867326","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc53348.2022.9867326","pdf_url":null,"source":{"id":"https://openalex.org/S4363607732","display_name":"2022 American Control Conference (ACC)","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":"2022 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/A5103009751","display_name":"Dimitris Papadimitriou","orcid":"https://orcid.org/0000-0003-1327-8469"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dimitris Papadimitriou","raw_affiliation_strings":["University of California,Department of Mechanical Engineering,Berkeley","Department of Mechanical Engineering, University of California, Berkeley"],"affiliations":[{"raw_affiliation_string":"University of California,Department of Mechanical Engineering,Berkeley","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"Department of Mechanical Engineering, University of California, Berkeley","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072786751","display_name":"Somayeh Sojoudi","orcid":"https://orcid.org/0000-0001-7177-7712"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Somayeh Sojoudi","raw_affiliation_strings":["University of California,Departments of Electrical Engineering and Computer Sciences and Mechanical Engineering,Berkeley","Departments of Electrical Engineering and Computer Sciences and Mechanical Engineering, University of California, Berkeley"],"affiliations":[{"raw_affiliation_string":"University of California,Departments of Electrical Engineering and Computer Sciences and Mechanical Engineering,Berkeley","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"Departments of Electrical Engineering and Computer Sciences and Mechanical Engineering, University of California, Berkeley","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103009751"],"corresponding_institution_ids":["https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":0.2079,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.40998707,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2748","last_page":"2754"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9986000061035156,"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":0.9983999729156494,"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/outlier","display_name":"Outlier","score":0.8164485692977905},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6131856441497803},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.5968347787857056},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.577918529510498},{"id":"https://openalex.org/keywords/propagation-of-uncertainty","display_name":"Propagation of uncertainty","score":0.5133275389671326},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.493403822183609},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.476870596408844},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.471306174993515},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.47093072533607483},{"id":"https://openalex.org/keywords/ground-penetrating-radar","display_name":"Ground-penetrating radar","score":0.4411502778530121},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.35050368309020996},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.3436034619808197},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3253461718559265},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.27908897399902344},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2790517807006836},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2756302058696747},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2733716368675232},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27330252528190613},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.11787441372871399}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.8164485692977905},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6131856441497803},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.5968347787857056},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.577918529510498},{"id":"https://openalex.org/C123614077","wikidata":"https://www.wikidata.org/wiki/Q1364905","display_name":"Propagation of uncertainty","level":2,"score":0.5133275389671326},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.493403822183609},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.476870596408844},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.471306174993515},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.47093072533607483},{"id":"https://openalex.org/C71813955","wikidata":"https://www.wikidata.org/wiki/Q503560","display_name":"Ground-penetrating radar","level":3,"score":0.4411502778530121},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.35050368309020996},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.3436034619808197},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3253461718559265},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27908897399902344},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2790517807006836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2756302058696747},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2733716368675232},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27330252528190613},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.11787441372871399},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/acc53348.2022.9867326","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc53348.2022.9867326","pdf_url":null,"source":{"id":"https://openalex.org/S4363607732","display_name":"2022 American Control Conference (ACC)","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":"2022 American Control Conference (ACC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1502922572","https://openalex.org/W1997739388","https://openalex.org/W2003967703","https://openalex.org/W2055825262","https://openalex.org/W2082781540","https://openalex.org/W2098398123","https://openalex.org/W2098674248","https://openalex.org/W2102341081","https://openalex.org/W2124122553","https://openalex.org/W2139998722","https://openalex.org/W2162977544","https://openalex.org/W2327196125","https://openalex.org/W2740772560","https://openalex.org/W2744556021","https://openalex.org/W2892521964","https://openalex.org/W2966348706","https://openalex.org/W2966722937","https://openalex.org/W3004010173","https://openalex.org/W3118803836","https://openalex.org/W4287728631","https://openalex.org/W4288336312","https://openalex.org/W6629804754","https://openalex.org/W6680633967","https://openalex.org/W6745072325","https://openalex.org/W6763216130","https://openalex.org/W6840507035"],"related_works":["https://openalex.org/W566010457","https://openalex.org/W2600092203","https://openalex.org/W4293503520","https://openalex.org/W4300066510","https://openalex.org/W2056958800","https://openalex.org/W2803685231","https://openalex.org/W3134152097","https://openalex.org/W601879004","https://openalex.org/W4311388919","https://openalex.org/W2966696655"],"abstract_inverted_index":{"Gaussian":[0],"Process":[1,70],"Regression":[2,71],"(GPR)":[3],"has":[4],"been":[5],"extensively":[6],"used":[7],"to":[8,55,58,106,127,163],"estimate":[9,128],"unknown":[10,129],"models":[11,81],"and":[12,130,134,168],"quantify":[13],"model":[14],"uncertainty":[15,45,144,166],"in":[16,43,82],"control":[17,84,138,172],"tasks":[18],"concerning":[19],"safety-critical":[20],"applications.":[21],"However,":[22],"one":[23],"of":[24,27,40,76,89,149,156],"the":[25,37,41,44,68,83,93,99,114,141,147],"drawbacks":[26],"GPR":[28,77],"is":[29,91],"that":[30,92,140],"it":[31,48,103],"does":[32],"not":[33],"take":[34],"into":[35],"account":[36],"function":[38,100],"evaluations":[39,101],"observations":[42,53],"estimation,":[46],"rendering":[47,102],"unsuitable":[49],"for":[50,78,113,146],"applications":[51],"with":[52,137],"prone":[54],"outliers":[56],"or":[57],"some":[59],"unassumed":[60],"noise":[61],"disturbance.":[62],"In":[63],"this":[64],"work,":[65],"we":[66,124,135],"introduce":[67],"Student-t":[69],"(TPR)":[72],"as":[73,159],"a":[74],"generalization":[75],"estimating":[79],"dynamics":[80],"literature.":[85],"The":[86],"key":[87],"attribute":[88],"TPR":[90,118,126],"estimation":[94,115,143],"variance":[95,153],"explicitly":[96],"depends":[97],"on":[98,117],"more":[104,164],"robust":[105],"outliers.":[107,150],"We":[108],"prove":[109],"uniform":[110],"error":[111],"bounds":[112],"based":[116],"under":[119],"certain":[120],"continuity":[121],"assumptions.":[122],"Furthermore,":[123],"employ":[125],"nonlinear":[131],"dynamical":[132],"systems":[133],"show":[136],"simulations":[139],"resulting":[142],"compensates":[145],"existence":[148],"Such":[151],"informative":[152,165],"estimates":[154],"are":[155],"vital":[157],"importance":[158],"they":[160],"can":[161],"lead":[162],"propagation":[167],"thus":[169],"less":[170],"conservative":[171],"policies.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
