{"id":"https://openalex.org/W2912009712","doi":"https://doi.org/10.1109/cdc.2018.8619431","title":"Adaptive Control using Gaussian-Process with Model Reference Generative Network","display_name":"Adaptive Control using Gaussian-Process with Model Reference Generative Network","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2912009712","doi":"https://doi.org/10.1109/cdc.2018.8619431","mag":"2912009712"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2018.8619431","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2018.8619431","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 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/A5065683918","display_name":"Girish Joshi","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Girish Joshi","raw_affiliation_strings":["Science Laboratory University of Illinois, Urbana-Champaign, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science Laboratory University of Illinois, Urbana-Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073739058","display_name":"Girish Chowdhary","orcid":"https://orcid.org/0000-0002-4657-307X"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Girish Chowdhary","raw_affiliation_strings":["Science Laboratory University of Illinois, Urbana-Champaign, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science Laboratory University of Illinois, Urbana-Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"237","last_page":"243"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.998199999332428,"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"}},"topics":[{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.998199999332428,"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"}},{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9901999831199646,"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":0.9891999959945679,"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":0.7334559559822083},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.6245500445365906},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6109465956687927},{"id":"https://openalex.org/keywords/adaptive-control","display_name":"Adaptive control","score":0.5984971523284912},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5884155035018921},{"id":"https://openalex.org/keywords/reference-model","display_name":"Reference model","score":0.5370267033576965},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5228422284126282},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4940500557422638},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.493745893239975},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.47902220487594604},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4742431044578552},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4659719467163086},{"id":"https://openalex.org/keywords/process-state","display_name":"Process state","score":0.42163902521133423},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.39005693793296814},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.38002124428749084},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.35018742084503174},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.2947216033935547},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13168206810951233}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7334559559822083},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.6245500445365906},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6109465956687927},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.5984971523284912},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5884155035018921},{"id":"https://openalex.org/C150189527","wikidata":"https://www.wikidata.org/wiki/Q356674","display_name":"Reference model","level":2,"score":0.5370267033576965},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5228422284126282},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4940500557422638},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.493745893239975},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.47902220487594604},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4742431044578552},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4659719467163086},{"id":"https://openalex.org/C183560197","wikidata":"https://www.wikidata.org/wiki/Q7247302","display_name":"Process state","level":3,"score":0.42163902521133423},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.39005693793296814},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.38002124428749084},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.35018742084503174},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.2947216033935547},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13168206810951233},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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":1,"locations":[{"id":"doi:10.1109/cdc.2018.8619431","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2018.8619431","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Conference on Decision and Control (CDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.46000000834465027,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W648594167","https://openalex.org/W1514039123","https://openalex.org/W1540155273","https://openalex.org/W1572161815","https://openalex.org/W1572326640","https://openalex.org/W1579485993","https://openalex.org/W1956078349","https://openalex.org/W1986280275","https://openalex.org/W2003233927","https://openalex.org/W2008674063","https://openalex.org/W2016360498","https://openalex.org/W2058306002","https://openalex.org/W2060517418","https://openalex.org/W2065884106","https://openalex.org/W2067603665","https://openalex.org/W2085330455","https://openalex.org/W2099471712","https://openalex.org/W2101494153","https://openalex.org/W2113442785","https://openalex.org/W2126386737","https://openalex.org/W2127409557","https://openalex.org/W2152438488","https://openalex.org/W2157577161","https://openalex.org/W2623785075","https://openalex.org/W4320013936","https://openalex.org/W6634273043","https://openalex.org/W6738947393"],"related_works":["https://openalex.org/W2901382198","https://openalex.org/W2109400456","https://openalex.org/W27887875","https://openalex.org/W4289256535","https://openalex.org/W2133185051","https://openalex.org/W2109158473","https://openalex.org/W4285539993","https://openalex.org/W2147485651","https://openalex.org/W3028734724","https://openalex.org/W2095201550"],"abstract_inverted_index":{"In":[0,74],"this":[1,63,75,79],"paper,":[2,76],"we":[3,77],"present":[4],"a":[5,18,23,39,65,95,151],"new":[6],"architecture":[7,98],"for":[8,26,99],"Gaussian":[9,101],"Processes":[10],"Model":[11,84],"Reference":[12],"Adaptive":[13],"Control":[14],"(GP-MRAC)":[15],"trained":[16],"using":[17],"generative":[19,96],"network.":[20],"GP-MRAC":[21,36,55],"is":[22,64,94],"successful":[24],"method":[25,152],"achieving":[27],"global":[28,140],"performance":[29,141],"in":[30,68,159],"the":[31,49,60,69,72,111,117,125,129,133],"systems":[32],"enabling":[33],"adaptive":[34,86],"control.":[35],"can":[37,146],"handle":[38],"broader":[40],"set":[41],"of":[42,48,51,59,71,128,153],"uncertainties":[43,106],"without":[44,107],"requiring":[45],"apriori":[46],"knowledge":[47],"domain":[50],"operation.":[52],"However,":[53],"existing":[54],"work":[56],"requires":[57],"estimates":[58],"state-derivate,":[61],"and":[62,137,142],"primary":[66],"limitation":[67,81],"implementation":[70],"controller.":[73],"alleviate":[78],"major":[80],"by":[82,131],"creating":[83],"reference":[85],"framework":[87],"as":[88,150],"Generative":[89],"Network":[90],"(MRGeN).":[91],"Our":[92],"contribution":[93],"network":[97],"learning":[100],"model":[102],"to":[103,109],"predict":[104],"system":[105,118],"having":[108],"estimate":[110],"state":[112],"derivatives":[113],"while":[114],"ensuring":[115,139],"that":[116],"stability":[119,143],"properties":[120],"are":[121],"unaffected.":[122],"We":[123],"retain":[124],"nonparametric":[126],"nature":[127],"controller":[130],"sharing":[132],"kernels":[134],"between":[135],"GP's":[136],"MRGeN,":[138],"guarantees.":[144],"GP-MRGeN":[145],"also":[147],"be":[148],"viewed":[149],"baseline":[154],"policy":[155],"transfers,":[156],"with":[157],"applications":[158],"Reinforcement":[160],"Learning.":[161]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
