{"id":"https://openalex.org/W4402260883","doi":"https://doi.org/10.1109/tase.2024.3454176","title":"Guided Bayesian Optimization: Data-Efficient Controller Tuning With Digital Twin","display_name":"Guided Bayesian Optimization: Data-Efficient Controller Tuning With Digital Twin","publication_year":2024,"publication_date":"2024-09-05","ids":{"openalex":"https://openalex.org/W4402260883","doi":"https://doi.org/10.1109/tase.2024.3454176"},"language":"en","primary_location":{"id":"doi:10.1109/tase.2024.3454176","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2024.3454176","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Automation Science and Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/11475/31692","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070148970","display_name":"Mahdi Nobar","orcid":"https://orcid.org/0000-0003-3626-7666"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mahdi Nobar","raw_affiliation_strings":["Automatic Control Laboratory, ETH Z&#x00FC;rich, Z&#x00FC;rich, Switzerland"],"raw_orcid":"https://orcid.org/0000-0003-3626-7666","affiliations":[{"raw_affiliation_string":"Automatic Control Laboratory, ETH Z&#x00FC;rich, Z&#x00FC;rich, Switzerland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027871326","display_name":"J.P. Keller","orcid":null},"institutions":[{"id":"https://openalex.org/I2972652528","display_name":"FHNW University of Applied Sciences and Arts Northwestern Switzerland","ror":"https://ror.org/04mq2g308","country_code":"CH","type":"education","lineage":["https://openalex.org/I2972652528"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"J\u00fcrg Keller","raw_affiliation_strings":["Automation Institute, FHNW, Windisch, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Automation Institute, FHNW, Windisch, Switzerland","institution_ids":["https://openalex.org/I2972652528"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058099719","display_name":"Alisa Rupenyan","orcid":"https://orcid.org/0000-0002-2170-8564"},"institutions":[{"id":"https://openalex.org/I858936495","display_name":"ZHAW Zurich University of Applied Sciences","ror":"https://ror.org/05pmsvm27","country_code":"CH","type":"education","lineage":["https://openalex.org/I858936495"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Alisa Rupenyan","raw_affiliation_strings":["ZHAW Centre for AI, Zurich University of Applied Sciences, Z&#x00FC;rich, Winterthur, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ZHAW Centre for AI, Zurich University of Applied Sciences, Z&#x00FC;rich, Winterthur, Switzerland","institution_ids":["https://openalex.org/I858936495"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042581434","display_name":"Mohammad Khosravi","orcid":"https://orcid.org/0000-0002-4873-1115"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Mohammad Khosravi","raw_affiliation_strings":["Delft Center for Systems and Control, Delft University of Technology, Delft, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-4873-1115","affiliations":[{"raw_affiliation_string":"Delft Center for Systems and Control, Delft University of Technology, Delft, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007359599","display_name":"John Lygeros","orcid":"https://orcid.org/0000-0002-6159-1962"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"John Lygeros","raw_affiliation_strings":["Automatic Control Laboratory, ETH Z&#x00FC;rich, Z&#x00FC;rich, Switzerland"],"raw_orcid":"https://orcid.org/0000-0002-6159-1962","affiliations":[{"raw_affiliation_string":"Automatic Control Laboratory, ETH Z&#x00FC;rich, Z&#x00FC;rich, Switzerland","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.1593,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.96133059,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"22","issue":null,"first_page":"11304","last_page":"11317"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.982200026512146,"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":0.982200026512146,"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":0.9516000151634216,"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/T14470","display_name":"Advanced Data Processing Techniques","score":0.9333000183105469,"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/bayesian-optimization","display_name":"Bayesian optimization","score":0.7212535738945007},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5558623671531677},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5181506872177124},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.43333643674850464},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3523038625717163},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.3437385559082031},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2652376890182495},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.24828511476516724},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.19756749272346497}],"concepts":[{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.7212535738945007},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5558623671531677},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5181506872177124},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.43333643674850464},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3523038625717163},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3437385559082031},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2652376890182495},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24828511476516724},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.19756749272346497},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tase.2024.3454176","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2024.3454176","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Automation Science and Engineering","raw_type":"journal-article"},{"id":"pmh:oai:digitalcollection.zhaw.ch:11475/31692","is_oa":true,"landing_page_url":"https://hdl.handle.net/11475/31692","pdf_url":null,"source":{"id":"https://openalex.org/S4306401811","display_name":"Z\u00fcrcher Hochschule f\u00fcr Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200744771","host_organization_name":"ZHAW Zurich University of Applied Sciences","host_organization_lineage":["https://openalex.org/I200744771"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:digitalcollection.zhaw.ch:11475/31692","is_oa":true,"landing_page_url":"https://hdl.handle.net/11475/31692","pdf_url":null,"source":{"id":"https://openalex.org/S4306401811","display_name":"Z\u00fcrcher Hochschule f\u00fcr Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200744771","host_organization_name":"ZHAW Zurich University of Applied Sciences","host_organization_lineage":["https://openalex.org/I200744771"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},"sustainable_development_goals":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G7607202239","display_name":null,"funder_award_id":"180545","funder_id":"https://openalex.org/F4320326765","funder_display_name":"National Centre of Competence in Research Robotics"}],"funders":[{"id":"https://openalex.org/F4320326765","display_name":"National Centre of Competence in Research Robotics","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W590358248","https://openalex.org/W641771945","https://openalex.org/W1502922572","https://openalex.org/W1510052597","https://openalex.org/W2037013225","https://openalex.org/W2038669746","https://openalex.org/W2076420009","https://openalex.org/W2138759776","https://openalex.org/W2152195021","https://openalex.org/W2490846127","https://openalex.org/W2499250630","https://openalex.org/W2535351973","https://openalex.org/W2965274764","https://openalex.org/W2967448992","https://openalex.org/W2968014380","https://openalex.org/W3016258185","https://openalex.org/W3024039786","https://openalex.org/W3043705189","https://openalex.org/W3044110240","https://openalex.org/W3091444389","https://openalex.org/W3097782546","https://openalex.org/W3114979514","https://openalex.org/W3120659877","https://openalex.org/W3121342653","https://openalex.org/W3130984490","https://openalex.org/W3138369710","https://openalex.org/W3139636814","https://openalex.org/W3143477657","https://openalex.org/W3194295179","https://openalex.org/W3195402235","https://openalex.org/W3204807857","https://openalex.org/W3207486591","https://openalex.org/W4238746485","https://openalex.org/W4243369158","https://openalex.org/W4251600254","https://openalex.org/W4285133881","https://openalex.org/W4285146542","https://openalex.org/W4294167385","https://openalex.org/W4296558753","https://openalex.org/W4313291242","https://openalex.org/W4317883989","https://openalex.org/W4317889697","https://openalex.org/W4321483983","https://openalex.org/W4327694324","https://openalex.org/W4366526177","https://openalex.org/W4380852933","https://openalex.org/W4383220070","https://openalex.org/W4385062550","https://openalex.org/W4385937823","https://openalex.org/W4386432124","https://openalex.org/W4387518689","https://openalex.org/W4387951910","https://openalex.org/W4388918018","https://openalex.org/W4395679167","https://openalex.org/W6608206471","https://openalex.org/W6637653338","https://openalex.org/W6677764299"],"related_works":["https://openalex.org/W3106461837","https://openalex.org/W4283700523","https://openalex.org/W3168182983","https://openalex.org/W4387079005","https://openalex.org/W4321472004","https://openalex.org/W4221166418","https://openalex.org/W3117893869","https://openalex.org/W2968265130","https://openalex.org/W4401858220","https://openalex.org/W2000675896"],"abstract_inverted_index":{"This":[0,341],"article":[1],"presents":[2],"the":[3,25,43,46,51,55,68,71,103,107,118,121,128,142,148,157,160,167,172,205,213,244,251,281,293,297,302,317,320,324,330,336,347,356,361,394,401,405,418,425],"guided":[4,262,362],"Bayesian":[5,209,229,263,363,397],"optimization":[6,52,210,230,264,364,398],"(BO)":[7],"algorithm":[8],"as":[9],"an":[10],"efficient":[11],"data-driven":[12,138],"method":[13,176,200,236,265,386],"for":[14,82,237],"iteratively":[15],"tuning":[16,64,150,235],"closed-loop":[17,33,108,186,383],"controller":[18,63,69,192,215,312,419],"parameters":[19,313,403,420,426],"using":[20,32,283],"a":[21,62,113,232,238,261,272,276,327,382,428],"digital":[22,28,114,129,143,168,278,298,337],"twin":[23,29,115,130,279,299,338],"of":[24,50,67,94,124,156,159,174,280,301,319,360,404,427],"system.":[26,294,384],"The":[27,90,194],"is":[30,58,77,134,231,287,333,339,414],"built":[31],"data":[34,122,291,358],"acquired":[35],"during":[36],"standard":[37],"BO":[38,149],"iterations,":[39],"and":[40,84,132,179,191,308,335,368,389,407],"activated":[41],"when":[42,351],"uncertainty":[44,145,318,325],"in":[45,106,147,177,242,271,343,381],"Gaussian":[47,99],"Process":[48],"model":[49,225],"objective":[53,91],"on":[54,131,166,183,204,346,365,393],"real":[56,161,185,303,331,348],"system":[57,109,162,241,273,282,304,332,349],"high.":[59],"We":[60,101,170,259,295,353],"define":[61,275],"framework":[65],"independent":[66],"or":[70],"plant":[72,190,207],"structure.":[73],"Our":[74,385,411],"proposed":[75],"methodology":[76],"model-free,":[78],"making":[79],"it":[80,153],"suitable":[81],"nonlinear":[83],"unmodelled":[85],"plants":[86,375],"with":[87,163,188,290],"measurement":[88],"noise.":[89],"function":[92],"consists":[93],"performance":[95,182,245],"metrics":[96],"modeled":[97],"by":[98,136],"processes.":[100],"utilize":[102],"available":[104],"information":[105,269],"to":[110,141,211,218,224,227,274,305,309,377,399,417],"progressively":[111],"maintain":[112],"that":[116,198,266],"guides":[117],"optimizer,":[119],"improving":[120],"efficiency":[123,359],"our":[125,137,175,199],"method.":[126],"Switching":[127],"off":[133],"triggered":[135],"criteria":[139],"related":[140],"twin\u2019s":[144],"estimations":[146],"framework.":[151],"Effectively,":[152],"replaces":[154],"much":[155],"exploration":[158,164],"performed":[165],"twin.":[169],"analyze":[171],"properties":[173],"simulation":[178],"demonstrate":[180,355],"its":[181],"two":[184],"systems":[187],"different":[189],"structures.":[193],"experimental":[195],"results":[196,342],"show":[197],"requires":[201,387],"fewer":[202,344,391],"experiments":[203,307,345,392],"physical":[206],"than":[208,396],"find":[212,310],"optimal":[214,311],"parameters.":[216,253],"Note":[217],"Practitioners\u2014Industrial":[219],"applications":[220],"typically":[221],"are":[222],"difficult":[223],"due":[226],"disturbances.":[228],"data-efficient":[233],"iterative":[234],"black":[239],"box":[240],"which":[243],"can":[246,423],"only":[247,350],"be":[248,378],"measured":[249],"given":[250],"control":[252,402],"Iterative":[254],"measurements":[255],"involve":[256],"operational":[257],"costs.":[258],"propose":[260],"uses":[267],"all":[268],"flow":[270],"simplified":[277],"out-of-the-box":[284],"methods.":[285],"It":[286],"continuously":[288],"updated":[289],"from":[292],"use":[296],"instead":[300],"perform":[306],"while":[314],"we":[315],"monitor":[316],"resulting":[321],"predictions.":[322],"When":[323],"exceeds":[326],"tolerance":[328],"threshold,":[329],"measured,":[334],"updated.":[340],"needed.":[352],"then":[354],"improved":[357],"real-time":[366],"linear":[367,406],"rotary":[369,408],"motor":[370,409],"hardware.":[371],"These":[372],"common":[373],"industrial":[374],"need":[376],"controlled":[379],"rigorously":[380],"57%":[388],"46%":[390],"hardware":[395],"tune":[400],"systems.":[410],"generic":[412],"approach":[413],"not":[415],"limited":[416],"but":[421],"also":[422],"optimize":[424],"manufacturing":[429],"process.":[430]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2024-09-06T00:00:00"}
