{"id":"https://openalex.org/W3109214580","doi":"https://doi.org/10.1109/icca51439.2020.9264438","title":"Safe and active parameter exploration for event-triggered control","display_name":"Safe and active parameter exploration for event-triggered control","publication_year":2020,"publication_date":"2020-10-09","ids":{"openalex":"https://openalex.org/W3109214580","doi":"https://doi.org/10.1109/icca51439.2020.9264438","mag":"3109214580"},"language":"en","primary_location":{"id":"doi:10.1109/icca51439.2020.9264438","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca51439.2020.9264438","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 16th International Conference on Control & Automation (ICCA)","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/A5025704398","display_name":"Kazumune Hashimoto","orcid":"https://orcid.org/0000-0002-9376-5760"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kazumune Hashimoto","raw_affiliation_strings":["Graduate School of Engineering Science, Osaka University, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering Science, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5025704398"],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":null,"apc_paid":null,"fwci":0.1471,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4770283,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"19","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9986000061035156,"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":0.9965999722480774,"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/convergence","display_name":"Convergence (economics)","score":0.7815245985984802},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6136298179626465},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.6082416772842407},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.59996497631073},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5968203544616699},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5833197236061096},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.5302526354789734},{"id":"https://openalex.org/keywords/parameter-space","display_name":"Parameter space","score":0.529705286026001},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5206255316734314},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.48884719610214233},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4314038157463074},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.42840737104415894},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4242265522480011},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3590737283229828},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31891900300979614},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1915884017944336},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09888625144958496}],"concepts":[{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.7815245985984802},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6136298179626465},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.6082416772842407},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.59996497631073},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5968203544616699},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5833197236061096},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.5302526354789734},{"id":"https://openalex.org/C73586568","wikidata":"https://www.wikidata.org/wiki/Q2600211","display_name":"Parameter space","level":2,"score":0.529705286026001},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5206255316734314},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.48884719610214233},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4314038157463074},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.42840737104415894},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4242265522480011},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3590737283229828},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31891900300979614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1915884017944336},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09888625144958496},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icca51439.2020.9264438","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca51439.2020.9264438","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 16th International Conference on Control & Automation (ICCA)","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":28,"referenced_works":["https://openalex.org/W1978518835","https://openalex.org/W1992323389","https://openalex.org/W2019166202","https://openalex.org/W2031788461","https://openalex.org/W2084209135","https://openalex.org/W2100409338","https://openalex.org/W2100484286","https://openalex.org/W2118133052","https://openalex.org/W2120034667","https://openalex.org/W2142072309","https://openalex.org/W2317290577","https://openalex.org/W2601269525","https://openalex.org/W2605628695","https://openalex.org/W2742432427","https://openalex.org/W2785392309","https://openalex.org/W2791686386","https://openalex.org/W2889856497","https://openalex.org/W2904119718","https://openalex.org/W2916087012","https://openalex.org/W2951665052","https://openalex.org/W2955004043","https://openalex.org/W2962938355","https://openalex.org/W3103151316","https://openalex.org/W3124229194","https://openalex.org/W4211049957","https://openalex.org/W4256363258","https://openalex.org/W6677959772","https://openalex.org/W6764988152"],"related_works":["https://openalex.org/W1968537504","https://openalex.org/W1963493750","https://openalex.org/W2033826290","https://openalex.org/W2000610039","https://openalex.org/W2089404425","https://openalex.org/W2118155885","https://openalex.org/W2163515958","https://openalex.org/W2585070004","https://openalex.org/W1964286703","https://openalex.org/W2169866437"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,19,66,81],"framework":[4],"of":[5,21,90],"learning":[6],"parameter":[7,55,73],"space":[8,74],"for":[9,23,51],"event-triggered":[10,25],"control.":[11],"In":[12],"particular,":[13],"our":[14],"goal":[15],"is":[16,41,61,84],"to":[17,86],"find":[18],"set":[20],"parameters":[22],"the":[24,44,54,58,71,88,91],"condition,":[26],"such":[27],"that":[28,70],"certain":[29],"specifications":[30],"on":[31,43],"safety":[32],"and":[33,78],"convergence":[34,77],"properties":[35],"are":[36],"satisfied.":[37],"The":[38],"exploration":[39],"strategy":[40],"based":[42],"Gaussian":[45],"process-based":[46],"active":[47],"learning,":[48],"in":[49],"which,":[50],"each":[52],"iteration,":[53],"with":[56],"having":[57],"largest":[59],"variance":[60],"evaluated.":[62],"Moreover,":[63],"we":[64],"provide":[65],"theoretical":[67],"analysis,":[68],"so":[69],"derived":[72],"satisfies":[75],"both":[76],"safety.":[79],"Finally,":[80],"numerical":[82],"simulation":[83],"given":[85],"illustrate":[87],"effectiveness":[89],"approach.":[92]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}