{"id":"https://openalex.org/W4391019980","doi":"https://doi.org/10.1109/cdc49753.2023.10383447","title":"Data-Driven Forward Stochastic Reachability Analysis for Human-in-the-Loop Systems","display_name":"Data-Driven Forward Stochastic Reachability Analysis for Human-in-the-Loop Systems","publication_year":2023,"publication_date":"2023-12-13","ids":{"openalex":"https://openalex.org/W4391019980","doi":"https://doi.org/10.1109/cdc49753.2023.10383447"},"language":"en","primary_location":{"id":"doi:10.1109/cdc49753.2023.10383447","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cdc49753.2023.10383447","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 62nd IEEE Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5040591081","display_name":"Joonwon Choi","orcid":"https://orcid.org/0000-0001-8470-3528"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joonwon Choi","raw_affiliation_strings":["School of Aeronautics and Astronautics, Purdue University,West Lafayette,IN,USA,47907"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Aeronautics and Astronautics, Purdue University,West Lafayette,IN,USA,47907","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089056502","display_name":"Sooyung Byeon","orcid":"https://orcid.org/0000-0003-4297-0331"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sooyung Byeon","raw_affiliation_strings":["School of Aeronautics and Astronautics, Purdue University,West Lafayette,IN,USA,47907"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Aeronautics and Astronautics, Purdue University,West Lafayette,IN,USA,47907","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079117845","display_name":"Inseok Hwang","orcid":"https://orcid.org/0000-0001-7847-9865"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Inseok Hwang","raw_affiliation_strings":["School of Aeronautics and Astronautics, Purdue University,West Lafayette,IN,USA,47907"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Aeronautics and Astronautics, Purdue University,West Lafayette,IN,USA,47907","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":1.169,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.78647487,"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":"1730","last_page":"1735"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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":0.9965000152587891,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9620000123977661,"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/reachability","display_name":"Reachability","score":0.8518571853637695},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.6712325811386108},{"id":"https://openalex.org/keywords/human-in-the-loop","display_name":"Human-in-the-loop","score":0.6541246175765991},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6205838918685913},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.44236311316490173},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4119020998477936},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.366405725479126},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3305617570877075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22088930010795593},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22083285450935364}],"concepts":[{"id":"https://openalex.org/C136643341","wikidata":"https://www.wikidata.org/wiki/Q1361526","display_name":"Reachability","level":2,"score":0.8518571853637695},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.6712325811386108},{"id":"https://openalex.org/C2780626000","wikidata":"https://www.wikidata.org/wiki/Q5936775","display_name":"Human-in-the-loop","level":2,"score":0.6541246175765991},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6205838918685913},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.44236311316490173},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4119020998477936},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.366405725479126},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3305617570877075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22088930010795593},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22083285450935364},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc49753.2023.10383447","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cdc49753.2023.10383447","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 62nd IEEE Conference on Decision and Control (CDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4460639700","display_name":null,"funder_award_id":"CNS-1836952","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W607853484","https://openalex.org/W2100993276","https://openalex.org/W2166131104","https://openalex.org/W2311756909","https://openalex.org/W2535870504","https://openalex.org/W2626617000","https://openalex.org/W2783896547","https://openalex.org/W2889709742","https://openalex.org/W2963342207","https://openalex.org/W2991096134","https://openalex.org/W3045590379","https://openalex.org/W3080564557","https://openalex.org/W3160457970","https://openalex.org/W3207033216","https://openalex.org/W4205286771","https://openalex.org/W4205407975","https://openalex.org/W6782080126"],"related_works":["https://openalex.org/W2127267268","https://openalex.org/W2136512912","https://openalex.org/W2067910792","https://openalex.org/W2156446763","https://openalex.org/W2150194458","https://openalex.org/W2143461633","https://openalex.org/W4321471459","https://openalex.org/W2889071233","https://openalex.org/W2380814829","https://openalex.org/W2387511021"],"abstract_inverted_index":{"We":[0,13],"propose":[1],"a":[2,16,27,32,36,41,51,69,112],"data-driven":[3,89],"forward":[4],"stochastic":[5],"reachability":[6,90,147],"analysis":[7,91],"algorithm":[8,67,92,151],"for":[9,30,80,144],"Human-In-The-Loop":[10],"(HITL)":[11],"systems.":[12],"focus":[14],"on":[15],"certain":[17],"type":[18],"of":[19,45,61,74,99,105,123,131],"HITL":[20,76,101],"system":[21,77],"whose":[22],"behavior":[23,104,135],"is":[24,109,136,152],"dominated":[25],"by":[26,35,78,156],"human":[28,37,47,63,82,107,133,161],"operator,":[29],"example,":[31],"multi-rotor":[33],"controlled":[34],"operator.":[38,64],"In":[39],"such":[40],"system,":[42],"the":[43,46,57,62,75,81,88,95,100,106,118,124,127,132,139,145,157],"intervention":[44],"operator":[48,108],"may":[49],"generate":[50],"conservative":[52,71],"reachable":[53,72],"set":[54,73],"due":[55],"to":[56],"unpredictable":[58],"control":[59],"strategy":[60],"The":[65,103,149],"proposed":[66,150],"computes":[68],"less":[70],"accounting":[79],"operator's":[83,134],"behavior,":[84],"i.e.,":[85],"we":[86],"present":[87],"that":[93],"considers":[94],"unknown":[96],"controller":[97],"information":[98],"system.":[102,125],"trained":[110],"as":[111],"Gaussian":[113,140],"Mixture":[114,141],"Model":[115],"(GMM)":[116],"from":[117,138,160],"state":[119],"and":[120,154],"input":[121],"trajectories":[122],"Then,":[126],"conditional":[128],"probability":[129],"distribution":[130],"obtained":[137],"Regression":[142],"(GMR)":[143],"closed-loop":[146],"analysis.":[148],"tested":[153],"demonstrated":[155],"data":[158],"collected":[159],"subject":[162],"experiments.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}