{"id":"https://openalex.org/W4315471913","doi":"https://doi.org/10.1109/cdc51059.2022.9993350","title":"Improving the Performance of Robust Control through Event-Triggered Learning","display_name":"Improving the Performance of Robust Control through Event-Triggered Learning","publication_year":2022,"publication_date":"2022-12-06","ids":{"openalex":"https://openalex.org/W4315471913","doi":"https://doi.org/10.1109/cdc51059.2022.9993350"},"language":"en","primary_location":{"id":"doi:10.1109/cdc51059.2022.9993350","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cdc51059.2022.9993350","pdf_url":null,"source":{"id":"https://openalex.org/S4363607710","display_name":"2022 IEEE 61st Conference on Decision and Control (CDC)","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 IEEE 61st 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/A5045257122","display_name":"Alexander von Rohr","orcid":"https://orcid.org/0000-0002-0005-0310"},"institutions":[{"id":"https://openalex.org/I137230718","display_name":"Ingenieurgesellschaft Auto und Verkehr (Germany)","ror":"https://ror.org/00j4h9q86","country_code":"DE","type":"company","lineage":["https://openalex.org/I137230718"]},{"id":"https://openalex.org/I4210135521","display_name":"Max Planck Institute for Intelligent Systems","ror":"https://ror.org/04fq9j139","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210135521"]},{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alexander von Rohr","raw_affiliation_strings":["RWTH Aachen University,Institute for Data Science in Mechanical Engineering,Aachen,Germany","Max Planck Institute for Intelligent Systems, Stuttgart, Germany","Institute for Data Science in Mechanical Engineering, RWTH Aachen University, Aachen, Germany","IAV GmbH Ingenieurgesellschaft Auto und Verkehr, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RWTH Aachen University,Institute for Data Science in Mechanical Engineering,Aachen,Germany","institution_ids":["https://openalex.org/I887968799"]},{"raw_affiliation_string":"Max Planck Institute for Intelligent Systems, Stuttgart, Germany","institution_ids":["https://openalex.org/I4210135521"]},{"raw_affiliation_string":"Institute for Data Science in Mechanical Engineering, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]},{"raw_affiliation_string":"IAV GmbH Ingenieurgesellschaft Auto und Verkehr, Germany","institution_ids":["https://openalex.org/I137230718"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084589941","display_name":"Friedrich Solowjow","orcid":"https://orcid.org/0000-0003-2623-5652"},"institutions":[{"id":"https://openalex.org/I4210135521","display_name":"Max Planck Institute for Intelligent Systems","ror":"https://ror.org/04fq9j139","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210135521"]},{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Friedrich Solowjow","raw_affiliation_strings":["RWTH Aachen University,Institute for Data Science in Mechanical Engineering,Aachen,Germany","Max Planck Institute for Intelligent Systems, Stuttgart, Germany","Institute for Data Science in Mechanical Engineering, RWTH Aachen University, Aachen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RWTH Aachen University,Institute for Data Science in Mechanical Engineering,Aachen,Germany","institution_ids":["https://openalex.org/I887968799"]},{"raw_affiliation_string":"Max Planck Institute for Intelligent Systems, Stuttgart, Germany","institution_ids":["https://openalex.org/I4210135521"]},{"raw_affiliation_string":"Institute for Data Science in Mechanical Engineering, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023990842","display_name":"Sebastian Trimpe","orcid":"https://orcid.org/0000-0002-2785-2487"},"institutions":[{"id":"https://openalex.org/I4210135521","display_name":"Max Planck Institute for Intelligent Systems","ror":"https://ror.org/04fq9j139","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210135521"]},{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sebastian Trimpe","raw_affiliation_strings":["RWTH Aachen University,Institute for Data Science in Mechanical Engineering,Aachen,Germany","Max Planck Institute for Intelligent Systems, Stuttgart, Germany","Institute for Data Science in Mechanical Engineering, RWTH Aachen University, Aachen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RWTH Aachen University,Institute for Data Science in Mechanical Engineering,Aachen,Germany","institution_ids":["https://openalex.org/I887968799"]},{"raw_affiliation_string":"Max Planck Institute for Intelligent Systems, Stuttgart, Germany","institution_ids":["https://openalex.org/I4210135521"]},{"raw_affiliation_string":"Institute for Data Science in Mechanical Engineering, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3508,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52103039,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"3424","last_page":"3430"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9983000159263611,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9955999851226807,"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/computer-science","display_name":"Computer science","score":0.7028408646583557},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.5291664600372314},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4636026620864868},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4140746593475342}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7028408646583557},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.5291664600372314},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4636026620864868},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4140746593475342},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc51059.2022.9993350","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cdc51059.2022.9993350","pdf_url":null,"source":{"id":"https://openalex.org/S4363607710","display_name":"2022 IEEE 61st Conference on Decision and Control (CDC)","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 IEEE 61st Conference on Decision and Control (CDC)","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":24,"referenced_works":["https://openalex.org/W1552094772","https://openalex.org/W1967881621","https://openalex.org/W2064343721","https://openalex.org/W2065313971","https://openalex.org/W2143346970","https://openalex.org/W2167412190","https://openalex.org/W2183842689","https://openalex.org/W2762498633","https://openalex.org/W2807098429","https://openalex.org/W2903070737","https://openalex.org/W2928090136","https://openalex.org/W2966348706","https://openalex.org/W2995486512","https://openalex.org/W3039791234","https://openalex.org/W3152837353","https://openalex.org/W3163225369","https://openalex.org/W3195968524","https://openalex.org/W4213001083","https://openalex.org/W4297629896","https://openalex.org/W4315472238","https://openalex.org/W6685807340","https://openalex.org/W6748537339","https://openalex.org/W6752522973","https://openalex.org/W6776500716"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"Robust":[0],"controllers":[1,35],"ensure":[2],"stability":[3],"in":[4,18,39,46,83,88,149,174],"feedback":[5],"loops":[6],"designed":[7],"under":[8,152],"uncertainty":[9,17,45,87],"but":[10],"at":[11],"the":[12,31,47,69,84,89,113,117,138,142,150],"cost":[13],"of":[14,33,49,68,86,116,141],"performance.":[15],"Model":[16],"time-invariant":[19],"systems":[20,42,135],"can":[21],"be":[22],"reduced":[23],"by":[24],"recently":[25],"proposed":[26],"learning-based":[27,70],"methods,":[28],"which":[29],"improve":[30],"performance":[32,65,159,168],"robust":[34,104,171],"using":[36,123],"data.":[37],"However,":[38],"practice,":[40],"many":[41],"also":[43],"exhibit":[44],"form":[48],"changes":[50,148],"over":[51,169],"time,":[52],"e.g.,":[53],"due":[54,161],"to":[55,63,81,101,162],"weight":[56],"shifts":[57],"or":[58,66,94],"wear":[59],"and":[60,105,154],"tear,":[61],"leading":[62],"decreased":[64],"instability":[67],"controller.":[71],"We":[72,127,165],"propose":[73],"an":[74],"event-triggered":[75],"learning":[76,118],"algorithm":[77],"that":[78],"decides":[79],"when":[80,157],"learn":[82],"face":[85],"LQR":[90,143],"problem":[91],"with":[92],"rare":[93],"slow":[95],"changes.":[96,164],"Our":[97],"key":[98],"idea":[99],"is":[100],"switch":[102],"between":[103],"learned":[106],"controllers.":[107],"For":[108],"learning,":[109],"we":[110],"first":[111],"approximate":[112],"optimal":[114],"length":[115],"phase":[119],"via":[120],"Monte-Carlo":[121],"estimations":[122],"a":[124,130,170,175],"probabilistic":[125],"model.":[126],"then":[128],"design":[129],"statistical":[131],"test":[132,146],"for":[133],"uncertain":[134],"based":[136],"on":[137],"moment-generating":[139],"function":[140],"cost.":[144],"The":[145],"detects":[147],"system":[151,163],"control":[153,158],"triggers":[155],"relearning":[156],"deteriorates":[160],"demonstrate":[166],"improved":[167],"controller":[172],"baseline":[173],"numerical":[176],"example.":[177]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
