{"id":"https://openalex.org/W2967692091","doi":"https://doi.org/10.1109/rose.2019.8790432","title":"Model-Free Adaptive Control Approach Using Integral Reinforcement Learning","display_name":"Model-Free Adaptive Control Approach Using Integral Reinforcement Learning","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2967692091","doi":"https://doi.org/10.1109/rose.2019.8790432","mag":"2967692091"},"language":"en","primary_location":{"id":"doi:10.1109/rose.2019.8790432","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rose.2019.8790432","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Robotic and Sensors Environments (ROSE)","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/A5045456375","display_name":"Mohammed Abouheaf","orcid":"https://orcid.org/0000-0002-6130-9015"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Mohammed Abouheaf","raw_affiliation_strings":["School of Electrical Engineering & Computer Science, University of Ottawa, Ottawa, Canada"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering & Computer Science, University of Ottawa, Ottawa, Canada","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036560577","display_name":"Wail Gueaieb","orcid":"https://orcid.org/0000-0001-6490-4648"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Wail Gueaieb","raw_affiliation_strings":["School of Electrical Engineering & Computer Science, University of Ottawa, Ottawa, Canada"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering & Computer Science, University of Ottawa, Ottawa, Canada","institution_ids":["https://openalex.org/I153718931"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5045456375"],"corresponding_institution_ids":["https://openalex.org/I153718931"],"apc_list":null,"apc_paid":null,"fwci":0.582,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.69986531,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12794","display_name":"Adaptive Dynamic Programming Control","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12794","display_name":"Adaptive Dynamic Programming Control","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10040","display_name":"Adaptive Control of Nonlinear Systems","score":0.9941999912261963,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9890000224113464,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.8052121996879578},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6755666732788086},{"id":"https://openalex.org/keywords/adaptive-control","display_name":"Adaptive control","score":0.47602444887161255},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.43069350719451904},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.42113468050956726},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3147807717323303},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13524189591407776}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8052121996879578},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6755666732788086},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.47602444887161255},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.43069350719451904},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.42113468050956726},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3147807717323303},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13524189591407776},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rose.2019.8790432","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rose.2019.8790432","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Robotic and Sensors Environments (ROSE)","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":42,"referenced_works":["https://openalex.org/W58376283","https://openalex.org/W92805021","https://openalex.org/W355053099","https://openalex.org/W616622582","https://openalex.org/W1578630563","https://openalex.org/W1579538558","https://openalex.org/W1854776945","https://openalex.org/W1907796993","https://openalex.org/W1941445455","https://openalex.org/W1986253301","https://openalex.org/W2009264623","https://openalex.org/W2013460950","https://openalex.org/W2024303516","https://openalex.org/W2049040026","https://openalex.org/W2084378698","https://openalex.org/W2086977346","https://openalex.org/W2099618002","https://openalex.org/W2114682338","https://openalex.org/W2121863487","https://openalex.org/W2136064843","https://openalex.org/W2136911266","https://openalex.org/W2146804198","https://openalex.org/W2165744313","https://openalex.org/W2300738615","https://openalex.org/W2325926563","https://openalex.org/W2341171179","https://openalex.org/W2484646121","https://openalex.org/W2500835653","https://openalex.org/W2551846244","https://openalex.org/W2568864089","https://openalex.org/W2579147367","https://openalex.org/W2737014169","https://openalex.org/W2770533010","https://openalex.org/W2801513446","https://openalex.org/W2897010625","https://openalex.org/W3121926921","https://openalex.org/W3213472335","https://openalex.org/W4205326910","https://openalex.org/W4214717370","https://openalex.org/W4250606304","https://openalex.org/W6602384802","https://openalex.org/W6612047797"],"related_works":["https://openalex.org/W2920061524","https://openalex.org/W4310083477","https://openalex.org/W1977959518","https://openalex.org/W2038908348","https://openalex.org/W2107890255","https://openalex.org/W2106552856","https://openalex.org/W2086122291","https://openalex.org/W1987513656","https://openalex.org/W2072376847","https://openalex.org/W2089013912"],"abstract_inverted_index":{"Integral":[0],"reinforcement":[1,47],"learning":[2,48,103,113],"control":[3,49,80,88],"approaches":[4,21],"with":[5,40],"derivative":[6],"weighting":[7],"performance":[8],"indices":[9],"require":[10],"full":[11],"knowledge":[12],"of":[13,16,110],"dynamic":[14],"models":[15],"the":[17,70,94,101,111],"considered":[18],"systems.":[19],"These":[20],"do":[22],"not":[23,98],"provide":[24],"straightforward":[25],"solutions":[26],"for":[27,35,54],"underlying":[28,71],"integral":[29,46,72],"Bellman":[30],"optimality":[31],"equations.":[32],"This":[33],"urged":[34],"innovative":[36],"online":[37,45,102],"model-free":[38,78],"processes":[39],"simple":[41],"adaptation":[42,66],"mechanisms.":[43],"An":[44],"approach":[50,84],"is":[51,85],"developed":[52],"herein":[53],"systems":[55],"operating":[56],"in":[57],"uncertain":[58],"dynamical":[59],"environments.":[60],"It":[61],"employs":[62],"a":[63,89],"value":[64],"iteration":[65],"process":[67],"to":[68,87],"solve":[69],"temporal":[73],"difference":[74],"equation":[75],"accompanied":[76],"by":[77,100],"optimal":[79],"strategies.":[81],"The":[82,105],"proposed":[83],"tested":[86],"flexible":[90],"wing":[91],"aircraft":[92],"where":[93],"system":[95],"dynamics":[96],"are":[97,115,120],"required":[99],"process.":[104],"stability":[106],"and":[107],"convergence":[108],"properties":[109],"adaptive":[112],"mechanism":[114],"formally":[116],"proven":[117],"before":[118],"they":[119],"validated":[121],"through":[122],"numerical":[123],"simulations.":[124]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}