{"id":"https://openalex.org/W4391128372","doi":"https://doi.org/10.1109/tac.2024.3357743","title":"Optimal Control of Two-Dimensional Roesser Model: Solution Based on Reinforcement Learning","display_name":"Optimal Control of Two-Dimensional Roesser Model: Solution Based on Reinforcement Learning","publication_year":2024,"publication_date":"2024-01-23","ids":{"openalex":"https://openalex.org/W4391128372","doi":"https://doi.org/10.1109/tac.2024.3357743"},"language":"en","primary_location":{"id":"doi:10.1109/tac.2024.3357743","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tac.2024.3357743","pdf_url":null,"source":{"id":"https://openalex.org/S184954342","display_name":"IEEE Transactions on Automatic Control","issn_l":"0018-9286","issn":["0018-9286","1558-2523","2334-3303"],"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 Automatic Control","raw_type":"journal-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/A5036740005","display_name":"Linwei Ye","orcid":"https://orcid.org/0000-0002-4093-5498"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Linwei Ye","raw_affiliation_strings":["Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035678026","display_name":"Zhonggai Zhao","orcid":"https://orcid.org/0000-0002-4508-4979"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhonggai Zhao","raw_affiliation_strings":["IoT School, Jiangnnan University, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"IoT School, Jiangnnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100394563","display_name":"Fei Liu","orcid":"https://orcid.org/0000-0001-7160-2605"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Liu","raw_affiliation_strings":["Institute of Automation, Jiangnan University, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522","https://openalex.org/I4210112150"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036740005"],"corresponding_institution_ids":["https://openalex.org/I111599522"],"apc_list":null,"apc_paid":null,"fwci":0.955,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72781398,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"69","issue":"8","first_page":"5424","last_page":"5430"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14474","display_name":"Industrial Technology and Control Systems","score":0.5752000212669373,"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/T14474","display_name":"Industrial Technology and Control Systems","score":0.5752000212669373,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.5727999806404114,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.7070103287696838},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5026822090148926},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4908495545387268},{"id":"https://openalex.org/keywords/optimal-control","display_name":"Optimal control","score":0.4796034097671509},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4488086700439453},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4354912042617798},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3611392080783844},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24830254912376404}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7070103287696838},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5026822090148926},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4908495545387268},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.4796034097671509},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4488086700439453},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4354912042617798},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3611392080783844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24830254912376404}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tac.2024.3357743","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tac.2024.3357743","pdf_url":null,"source":{"id":"https://openalex.org/S184954342","display_name":"IEEE Transactions on Automatic Control","issn_l":"0018-9286","issn":["0018-9286","1558-2523","2334-3303"],"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 Automatic Control","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5426409165","display_name":null,"funder_award_id":"61833007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W132264163","https://openalex.org/W170428697","https://openalex.org/W1524186571","https://openalex.org/W1809069115","https://openalex.org/W1969285450","https://openalex.org/W1981815611","https://openalex.org/W1982307112","https://openalex.org/W1987096986","https://openalex.org/W2002221158","https://openalex.org/W2003437739","https://openalex.org/W2013895638","https://openalex.org/W2020516976","https://openalex.org/W2043611490","https://openalex.org/W2049538978","https://openalex.org/W2074527205","https://openalex.org/W2097862543","https://openalex.org/W2100038940","https://openalex.org/W2141427736","https://openalex.org/W2145893454","https://openalex.org/W2157192413","https://openalex.org/W2484634098","https://openalex.org/W2493992510","https://openalex.org/W2513730459","https://openalex.org/W2550394442","https://openalex.org/W2559335618","https://openalex.org/W2570163643","https://openalex.org/W2895100232","https://openalex.org/W2932346281","https://openalex.org/W3023586494","https://openalex.org/W3105462736","https://openalex.org/W3152004456","https://openalex.org/W3184187704","https://openalex.org/W4214717370","https://openalex.org/W6804409665"],"related_works":["https://openalex.org/W4362501864","https://openalex.org/W4306904969","https://openalex.org/W4380318855","https://openalex.org/W2138720691","https://openalex.org/W2031695474","https://openalex.org/W2586732548","https://openalex.org/W3049728571","https://openalex.org/W20361778","https://openalex.org/W2024136090","https://openalex.org/W2964765435"],"abstract_inverted_index":{"This":[0],"article":[1],"addresses":[2],"the":[3,10,30,58,77],"infinite-region":[4],"linear":[5],"quadratic":[6],"regulation":[7],"problem":[8],"of":[9,57,67,80],"discrete":[11],"two-dimensional":[12],"(2-D)":[13],"Roesser":[14],"model,":[15],"drawing":[16],"inspiration":[17],"from":[18],"reinforcement":[19],"learning":[20],"principles.":[21],"It":[22],"introduces":[23],"a":[24,42],"novel":[25],"proof":[26],"establishing":[27],"that":[28],"expressing":[29],"optimal":[31,60],"control":[32],"law":[33],"in":[34],"2-D":[35],"through":[36,62],"state":[37,51],"feedback":[38],"is":[39,46,70],"unattainable.":[40],"Subsequently,":[41],"policy":[43,61],"iteration":[44],"framework":[45],"proposed":[47],"to":[48],"derive":[49],"suboptimal":[50],"feedback,":[52],"followed":[53],"by":[54],"an":[55],"exploration":[56],"true":[59],"value":[63],"iteration.":[64],"The":[65],"efficacy":[66],"these":[68,81],"methodologies":[69],"demonstrated":[71],"via":[72],"two":[73],"numerical":[74],"examples,":[75],"enhancing":[76],"practical":[78],"understanding":[79],"innovative":[82],"approaches.":[83]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}