{"id":"https://openalex.org/W3120319067","doi":"https://doi.org/10.1109/cdc42340.2020.9303948","title":"A Scenario Approach for Robust Optimization over Uncertain System Identification Models","display_name":"A Scenario Approach for Robust Optimization over Uncertain System Identification Models","publication_year":2020,"publication_date":"2020-12-14","ids":{"openalex":"https://openalex.org/W3120319067","doi":"https://doi.org/10.1109/cdc42340.2020.9303948","mag":"3120319067"},"language":"en","primary_location":{"id":"doi:10.1109/cdc42340.2020.9303948","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc42340.2020.9303948","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 59th 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/A5044211830","display_name":"Xiaopuwen Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Xiaopuwen Wang","raw_affiliation_strings":["The University of Melbourne, Melbourne, Victoria, Australia"],"affiliations":[{"raw_affiliation_string":"The University of Melbourne, Melbourne, Victoria, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038957766","display_name":"Erik Weyer","orcid":"https://orcid.org/0000-0003-4309-4337"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Erik Weyer","raw_affiliation_strings":["The University of Melbourne, Melbourne, Victoria, Australia"],"affiliations":[{"raw_affiliation_string":"The University of Melbourne, Melbourne, Victoria, Australia","institution_ids":["https://openalex.org/I165779595"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5044211830"],"corresponding_institution_ids":["https://openalex.org/I165779595"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.1675828,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2738","last_page":"2743"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.996999979019165,"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":0.9965999722480774,"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/mathematical-optimization","display_name":"Mathematical optimization","score":0.6593483686447144},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5920107364654541},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.5560765862464905},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5515418648719788},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5290469527244568},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.4924124479293823},{"id":"https://openalex.org/keywords/parameter-identification-problem","display_name":"Parameter identification problem","score":0.47421860694885254},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4711438715457916},{"id":"https://openalex.org/keywords/uncertain-data","display_name":"Uncertain data","score":0.4645509421825409},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.46300816535949707},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.4622269868850708},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.44201427698135376},{"id":"https://openalex.org/keywords/robust-optimization","display_name":"Robust optimization","score":0.4336685240268707},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.41787639260292053},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4153679609298706},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34941068291664124},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.31784483790397644},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.3177894353866577},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2943696677684784},{"id":"https://openalex.org/keywords/model-parameter","display_name":"Model parameter","score":0.2538881003856659},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14870542287826538},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1401674449443817},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09839722514152527}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6593483686447144},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5920107364654541},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.5560765862464905},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5515418648719788},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5290469527244568},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.4924124479293823},{"id":"https://openalex.org/C79610928","wikidata":"https://www.wikidata.org/wiki/Q1656743","display_name":"Parameter identification problem","level":3,"score":0.47421860694885254},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4711438715457916},{"id":"https://openalex.org/C2778865114","wikidata":"https://www.wikidata.org/wiki/Q7882489","display_name":"Uncertain data","level":2,"score":0.4645509421825409},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.46300816535949707},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.4622269868850708},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.44201427698135376},{"id":"https://openalex.org/C193254401","wikidata":"https://www.wikidata.org/wiki/Q2160088","display_name":"Robust optimization","level":2,"score":0.4336685240268707},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.41787639260292053},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4153679609298706},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34941068291664124},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.31784483790397644},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3177894353866577},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2943696677684784},{"id":"https://openalex.org/C2983447341","wikidata":"https://www.wikidata.org/wiki/Q1413083","display_name":"Model parameter","level":2,"score":0.2538881003856659},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14870542287826538},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1401674449443817},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09839722514152527},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc42340.2020.9303948","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc42340.2020.9303948","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 59th IEEE Conference on Decision and Control (CDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W178056938","https://openalex.org/W296863324","https://openalex.org/W1965324089","https://openalex.org/W2104371886","https://openalex.org/W2140687796","https://openalex.org/W2167412190","https://openalex.org/W2481731143","https://openalex.org/W2903240769","https://openalex.org/W4250913065"],"related_works":["https://openalex.org/W2941324005","https://openalex.org/W4312894828","https://openalex.org/W3183136893","https://openalex.org/W4377861661","https://openalex.org/W2793406148","https://openalex.org/W1504916868","https://openalex.org/W2014591517","https://openalex.org/W2896332444","https://openalex.org/W4321089373","https://openalex.org/W2900569574"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,39,104],"propose":[4],"a":[5,61,82,136,165],"scenario":[6,122],"based":[7],"method":[8],"for":[9,43,69],"robust":[10],"optimization":[11,84],"over":[12],"uncertain":[13,76],"system":[14,36,127,131,151],"identification":[15],"models.":[16,90],"By":[17],"considering":[18],"linear":[19],"regression":[20],"models":[21],"with":[22,143],"deterministic":[23,137],"regressors":[24],"and":[25,81,124,139,152,158],"assuming":[26],"that":[27,94],"the":[28,31,35,48,53,56,92,95,101,109,112,120,125,140,146,150,153],"distribution":[29,50],"of":[30,64,74,111],"noise":[32],"acting":[33],"on":[34,108],"is":[37,86,98,117,133],"known,":[38],"give":[40],"an":[41],"algorithm":[42],"drawing":[44],"independent":[45],"samples":[46],"from":[47,149],"probability":[49],"which":[51],"characterizes":[52],"uncertainty":[54],"in":[55,100,164],"least":[57],"squares":[58],"estimate":[59],"when":[60,115],"finite":[62],"number":[63,73],"data":[65,148],"points":[66],"are":[67,79,142,162],"used":[68],"parameter":[70,132],"estimation.":[71],"A":[72],"these":[75,89],"model":[77,102],"parameters":[78],"drawn,":[80],"min-max":[83],"problem":[85],"solved":[87],"using":[88],"Under":[91],"assumption":[93],"cost":[96,113],"function":[97,114],"quasi-convex":[99],"parameters,":[103],"establish":[105],"probabilistic":[106],"guarantees":[107],"value":[110],"it":[116],"evaluated":[118],"at":[119],"found":[121],"solution":[123],"true":[126,130],"parameter.":[128],"The":[129,156],"regarded":[134],"as":[135],"quantity,":[138],"probabilities":[141],"respect":[144],"to":[145],"observed":[147],"drawn":[154],"scenarios.":[155],"approach":[157],"its":[159],"theoretical":[160],"properties":[161],"illustrated":[163],"simulation":[166],"example.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
