{"id":"https://openalex.org/W3011993100","doi":"https://doi.org/10.1109/cdc40024.2019.9029549","title":"Working Memory Augmentation for Improved Learning in Neural Adaptive Control","display_name":"Working Memory Augmentation for Improved Learning in Neural Adaptive Control","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3011993100","doi":"https://doi.org/10.1109/cdc40024.2019.9029549","mag":"3011993100"},"language":"en","primary_location":{"id":"doi:10.1109/cdc40024.2019.9029549","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc40024.2019.9029549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 58th 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/A5029981425","display_name":"Deepan Muthirayan","orcid":"https://orcid.org/0000-0002-7218-4545"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deepan Muthirayan","raw_affiliation_strings":["Electrical Engineering and Computer Sciences, University of California, Irvine, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering and Computer Sciences, University of California, Irvine, CA","institution_ids":["https://openalex.org/I204250578"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004650986","display_name":"Pramod P. Khargonekar","orcid":"https://orcid.org/0000-0001-6634-6950"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pramod P. Khargonekar","raw_affiliation_strings":["Electrical Engineering and Computer Sciences, University of California, Irvine, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering and Computer Sciences, University of California, Irvine, CA","institution_ids":["https://openalex.org/I204250578"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204250578"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"6785","last_page":"6792"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9962999820709229,"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/T10320","display_name":"Neural Networks and Applications","score":0.9962999820709229,"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":0.9908999800682068,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9861999750137329,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7488101720809937},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.6458091139793396},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6178896427154541},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6004546880722046},{"id":"https://openalex.org/keywords/adaptive-control","display_name":"Adaptive control","score":0.5052641034126282},{"id":"https://openalex.org/keywords/working-memory","display_name":"Working memory","score":0.5043257474899292},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49419358372688293},{"id":"https://openalex.org/keywords/adaptive-system","display_name":"Adaptive system","score":0.45361968874931335},{"id":"https://openalex.org/keywords/control-system","display_name":"Control system","score":0.45261651277542114},{"id":"https://openalex.org/keywords/backstepping","display_name":"Backstepping","score":0.4470415711402893},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.3957841992378235},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13634008169174194},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.11591657996177673}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7488101720809937},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.6458091139793396},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6178896427154541},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6004546880722046},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.5052641034126282},{"id":"https://openalex.org/C21963081","wikidata":"https://www.wikidata.org/wiki/Q11337567","display_name":"Working memory","level":3,"score":0.5043257474899292},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49419358372688293},{"id":"https://openalex.org/C52970973","wikidata":"https://www.wikidata.org/wiki/Q2497134","display_name":"Adaptive system","level":2,"score":0.45361968874931335},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.45261651277542114},{"id":"https://openalex.org/C72218879","wikidata":"https://www.wikidata.org/wiki/Q4839759","display_name":"Backstepping","level":4,"score":0.4470415711402893},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3957841992378235},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13634008169174194},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.11591657996177673},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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/cdc40024.2019.9029549","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc40024.2019.9029549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 58th 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":31,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1517236425","https://openalex.org/W1906979443","https://openalex.org/W1984481057","https://openalex.org/W2003012950","https://openalex.org/W2054184020","https://openalex.org/W2064675550","https://openalex.org/W2073667556","https://openalex.org/W2075154962","https://openalex.org/W2090167557","https://openalex.org/W2095335588","https://openalex.org/W2112707476","https://openalex.org/W2115932303","https://openalex.org/W2137825550","https://openalex.org/W2138484437","https://openalex.org/W2145339207","https://openalex.org/W2154088208","https://openalex.org/W2179832709","https://openalex.org/W2346736747","https://openalex.org/W2472819217","https://openalex.org/W2529004582","https://openalex.org/W2570540139","https://openalex.org/W2573547769","https://openalex.org/W2963948945","https://openalex.org/W3041214984","https://openalex.org/W4303633609","https://openalex.org/W6639784407","https://openalex.org/W6677145610","https://openalex.org/W6684821475","https://openalex.org/W6720057410","https://openalex.org/W6735003056"],"related_works":["https://openalex.org/W1847613412","https://openalex.org/W4382203996","https://openalex.org/W2027308681","https://openalex.org/W2477673797","https://openalex.org/W2066936811","https://openalex.org/W1506477645","https://openalex.org/W2066530648","https://openalex.org/W2517762225","https://openalex.org/W2327636204","https://openalex.org/W2122133867"],"abstract_inverted_index":{"In":[0],"this":[1,214],"paper,":[2],"we":[3,188,204],"propose":[4],"a":[5,126,138,162],"novel":[6],"control":[7,14,25,104],"architecture,":[8,43],"inspired":[9],"from":[10,76,96],"neuroscience,":[11],"for":[12,156,168,178,208],"adaptive":[13,53,166],"of":[15,47,80,112,141,154,158],"continuous":[16],"time":[17],"systems.":[18,181],"The":[19,41,63,110],"objective":[20],"here":[21],"is":[22],"to":[23,35,60,100,123,136],"design":[24],"architectures":[26],"and":[27,32,86,185],"algorithms":[28],"that":[29,37,83,190],"can":[30],"learn":[31],"adapt":[33],"quickly":[34],"changes":[36,148],"are":[38,84],"even":[39,145,196],"abrupt.":[40],"proposed":[42,210],"in":[44,67,125],"the":[45,61,77,81,88,97,102,108,117,120,133,142,198,209],"setting":[46],"standard":[48],"neural":[49],"network":[50],"(NN)":[51],"based":[52],"control,":[54],"augments":[55],"an":[56],"external":[57,69,113],"working":[58,70,98,114],"memory":[59,99,115,191,216],"NN.":[62],"learning":[64,121,131,134,194],"system":[65,122,135,199],"stores,":[66],"its":[68],"memory,":[71],"recently":[72],"observed":[73],"feature":[74],"vectors":[75,95],"hidden":[78],"layer":[79],"NN":[82,165,176],"relevant":[85,94],"forgets":[87],"older":[89],"irrelevant":[90],"values.":[91],"It":[92],"retrieves":[93],"modify":[101],"final":[103],"signal":[105],"generated":[106],"by":[107,212],"controller.":[109],"use":[111],"improves":[116,193,218],"context":[118],"inducing":[119],"search":[124],"particular":[127],"direction.":[128],"This":[129],"directed":[130],"allows":[132],"find":[137],"good":[139],"approximation":[140],"unknown":[143],"function":[144],"after":[146],"abrupt":[147],"quickly.":[149],"We":[150],"consider":[151],"two":[152],"classes":[153],"controllers":[155],"illustration":[157],"our":[159],"ideas":[160],"(i)":[161],"model":[163],"reference":[164],"controller":[167,177],"linear":[169],"systems":[170],"with":[171],"matched":[172],"uncertainty":[173],"(ii)":[174],"backstepping":[175],"strict":[179],"feedback":[180],"Through":[182],"extensive":[183],"simulations":[184],"specific":[186,215],"metrics":[187],"show":[189],"augmentation":[192,217],"significantly":[195],"when":[197],"undergoes":[200],"sudden":[201],"changes.":[202],"Importantly,":[203],"also":[205],"provide":[206],"evidence":[207],"mechanism":[211],"which":[213],"learning.":[219]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
