{"id":"https://openalex.org/W4402263867","doi":"https://doi.org/10.23919/acc60939.2024.10644707","title":"Physics-Informed Kernel Embeddings: Integrating Prior System Knowledge with Data-Driven Control","display_name":"Physics-Informed Kernel Embeddings: Integrating Prior System Knowledge with Data-Driven Control","publication_year":2024,"publication_date":"2024-07-10","ids":{"openalex":"https://openalex.org/W4402263867","doi":"https://doi.org/10.23919/acc60939.2024.10644707"},"language":"en","primary_location":{"id":"doi:10.23919/acc60939.2024.10644707","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc60939.2024.10644707","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 American Control Conference (ACC)","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/A5032775298","display_name":"Adam J. Thorpe","orcid":"https://orcid.org/0000-0001-7120-0913"},"institutions":[{"id":"https://openalex.org/I169521973","display_name":"University of New Mexico","ror":"https://ror.org/05fs6jp91","country_code":"US","type":"education","lineage":["https://openalex.org/I169521973"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adam J. Thorpe","raw_affiliation_strings":["University of New Mexico,Electrical &#x0026; Computer Eng.,Abq.,NM"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New Mexico,Electrical &#x0026; Computer Eng.,Abq.,NM","institution_ids":["https://openalex.org/I169521973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066859311","display_name":"Cyrus Neary","orcid":null},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cyrus Neary","raw_affiliation_strings":["Oden Institute for Computational Engineering and Sciences, and the Department of Aerospace Engineering and Engineering Mechanics at the University of Texas at Austin,Department of Electrical and Computer Engineering,Austin,TX,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oden Institute for Computational Engineering and Sciences, and the Department of Aerospace Engineering and Engineering Mechanics at the University of Texas at Austin,Department of Electrical and Computer Engineering,Austin,TX,USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086083363","display_name":"Franck Djeumou","orcid":"https://orcid.org/0000-0002-0292-9986"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Franck Djeumou","raw_affiliation_strings":["Oden Institute for Computational Engineering and Sciences, and the Department of Aerospace Engineering and Engineering Mechanics at the University of Texas at Austin,Department of Electrical and Computer Engineering,Austin,TX,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oden Institute for Computational Engineering and Sciences, and the Department of Aerospace Engineering and Engineering Mechanics at the University of Texas at Austin,Department of Electrical and Computer Engineering,Austin,TX,USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070060161","display_name":"Meeko Oishi","orcid":"https://orcid.org/0000-0003-3722-8837"},"institutions":[{"id":"https://openalex.org/I169521973","display_name":"University of New Mexico","ror":"https://ror.org/05fs6jp91","country_code":"US","type":"education","lineage":["https://openalex.org/I169521973"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Meeko M. K. Oishi","raw_affiliation_strings":["University of New Mexico,Electrical &#x0026; Computer Eng.,Abq.,NM"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New Mexico,Electrical &#x0026; Computer Eng.,Abq.,NM","institution_ids":["https://openalex.org/I169521973"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047471973","display_name":"Ufuk Topcu","orcid":null},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ufuk Topcu","raw_affiliation_strings":["Oden Institute for Computational Engineering and Sciences, and the Department of Aerospace Engineering and Engineering Mechanics at the University of Texas at Austin,Department of Electrical and Computer Engineering,Austin,TX,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oden Institute for Computational Engineering and Sciences, and the Department of Aerospace Engineering and Engineering Mechanics at the University of Texas at Austin,Department of Electrical and Computer Engineering,Austin,TX,USA","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5019,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.81979374,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3130","last_page":"3137"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9882000088691711,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9703999757766724,"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/kernel","display_name":"Kernel (algebra)","score":0.6295962333679199},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4770309627056122},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4527963101863861},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4324359893798828},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.39069104194641113},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3112567663192749},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09724467992782593},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.08238038420677185}],"concepts":[{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6295962333679199},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4770309627056122},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4527963101863861},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4324359893798828},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.39069104194641113},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3112567663192749},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09724467992782593},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.08238038420677185}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/acc60939.2024.10644707","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc60939.2024.10644707","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 American Control Conference (ACC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4693445005","display_name":null,"funder_award_id":"CNS-1836900,1646522","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W1529558080","https://openalex.org/W1540155273","https://openalex.org/W1560724230","https://openalex.org/W1723433682","https://openalex.org/W1946137962","https://openalex.org/W1986280275","https://openalex.org/W2098432798","https://openalex.org/W2111241577","https://openalex.org/W2115003579","https://openalex.org/W2146641075","https://openalex.org/W2439342625","https://openalex.org/W2501948295","https://openalex.org/W2509969228","https://openalex.org/W2525748878","https://openalex.org/W2561027863","https://openalex.org/W2735197468","https://openalex.org/W2768748954","https://openalex.org/W2898904083","https://openalex.org/W2901402208","https://openalex.org/W2907275873","https://openalex.org/W2948680363","https://openalex.org/W2999026783","https://openalex.org/W3021457401","https://openalex.org/W3029817982","https://openalex.org/W3094142577","https://openalex.org/W3099548126","https://openalex.org/W3100769368","https://openalex.org/W3101360817","https://openalex.org/W3136756258","https://openalex.org/W3153522897","https://openalex.org/W3175104376","https://openalex.org/W4212774754","https://openalex.org/W4226060904","https://openalex.org/W4239539940","https://openalex.org/W4250589301","https://openalex.org/W4287328697","https://openalex.org/W4301736742","https://openalex.org/W4313000529","https://openalex.org/W4382935682","https://openalex.org/W6608635065","https://openalex.org/W6634665167","https://openalex.org/W6674995601","https://openalex.org/W6676817345","https://openalex.org/W6679147141","https://openalex.org/W6680315907","https://openalex.org/W6752307458","https://openalex.org/W6758539823","https://openalex.org/W6763340073","https://openalex.org/W6763711664","https://openalex.org/W6767665448","https://openalex.org/W6768242542","https://openalex.org/W6774655639","https://openalex.org/W6776131660","https://openalex.org/W6776662980","https://openalex.org/W6779495209","https://openalex.org/W6780256688","https://openalex.org/W6782063741","https://openalex.org/W6784408391","https://openalex.org/W6785022064","https://openalex.org/W6797555172","https://openalex.org/W6801501811","https://openalex.org/W6845424690","https://openalex.org/W7055429229"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2935759653","https://openalex.org/W3105167352","https://openalex.org/W54078636","https://openalex.org/W2954470139","https://openalex.org/W1501425562","https://openalex.org/W2902782467","https://openalex.org/W3084825885","https://openalex.org/W2298861036","https://openalex.org/W2271181815"],"abstract_inverted_index":{"Data-driven":[0],"control":[1,73,167],"algorithms":[2,74],"use":[3],"observations":[4,38],"of":[5,16,39,58,87,98,151,163],"system":[6,41,60,100],"dynamics":[7,101],"to":[8,66,166],"construct":[9],"an":[10,133,161],"implicit":[11],"model":[12],"for":[13],"the":[14,40,59,85,99,107,113,129,144],"purpose":[15],"control.":[17],"However,":[18],"in":[19,32,84,106],"practice,":[20],"data-driven":[21,46,72,157],"techniques":[22],"often":[23,48],"require":[24],"excessive":[25],"sample":[26,146],"sizes,":[27],"which":[28],"may":[29],"be":[30],"infeasible":[31],"real-world":[33],"scenarios":[34],"where":[35],"only":[36],"limited":[37],"are":[42],"available.":[43],"Furthermore,":[44],"purely":[45,156],"methods":[47],"neglect":[49],"useful":[50],"a":[51,64,78,103,118,122,155,169],"priori":[52],"knowledge,":[53],"such":[54,68],"as":[55,102,117],"approximate":[56],"models":[57],"dynamics.":[61],"We":[62,111,159],"present":[63],"method":[65,165],"incorporate":[67],"prior":[69,96],"knowledge":[70,97],"into":[71],"using":[75],"kernel":[76,89,108],"embeddings,":[77],"nonparametric":[79],"machine":[80],"learning":[81,109,115],"technique":[82],"based":[83],"theory":[86],"reproducing":[88],"Hilbert":[90],"spaces.":[91],"Our":[92],"proposed":[93],"approach":[94,153],"incorporates":[95],"bias":[104],"term":[105,124],"problem.":[110],"formulate":[112],"biased":[114],"problem":[116,120,172],"least-squares":[119],"with":[121,173],"regularization":[123],"that":[125,131],"is":[126],"informed":[127],"by":[128],"dynamics,":[130,175],"has":[132],"efficiently":[134],"computable,":[135],"closed-form":[136],"solution.":[137],"Through":[138],"numerical":[139],"experiments,":[140],"we":[141],"empirically":[142],"demonstrate":[143,160],"improved":[145],"efficiency":[147],"and":[148,176,179],"out-of-sample":[149],"generalization":[150],"our":[152,164],"over":[154],"baseline.":[158],"application":[162],"through":[168],"target":[170],"tracking":[171],"nonholonomic":[174],"on":[177],"spring-mass-damper":[178],"F-16":[180],"aircraft":[181],"state":[182],"prediction":[183],"tasks.":[184]},"counts_by_year":[{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
