{"id":"https://openalex.org/W4410537549","doi":"https://doi.org/10.1109/ssd64182.2025.10989895","title":"Reinforcement Learning-Based Optimal Control for Continuous-Time Quantized Systems via Adaptive Dynamic Programming","display_name":"Reinforcement Learning-Based Optimal Control for Continuous-Time Quantized Systems via Adaptive Dynamic Programming","publication_year":2025,"publication_date":"2025-02-17","ids":{"openalex":"https://openalex.org/W4410537549","doi":"https://doi.org/10.1109/ssd64182.2025.10989895"},"language":"en","primary_location":{"id":"doi:10.1109/ssd64182.2025.10989895","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssd64182.2025.10989895","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd International Multi-Conference on Systems, Signals & Devices (SSD)","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/A5076090461","display_name":"Omar Qasem","orcid":"https://orcid.org/0000-0003-4080-8672"},"institutions":[{"id":"https://openalex.org/I75535952","display_name":"American University of Kuwait","ror":"https://ror.org/00w73cg32","country_code":"KW","type":"education","lineage":["https://openalex.org/I75535952"]}],"countries":["KW"],"is_corresponding":false,"raw_author_name":"Omar Qasem","raw_affiliation_strings":["School of Engineering and Computing, American International University,Electrical and Computer Engineering Department,Al-Jahra,Kuwait"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Computing, American International University,Electrical and Computer Engineering Department,Al-Jahra,Kuwait","institution_ids":["https://openalex.org/I75535952"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040120960","display_name":"Weinan Gao","orcid":"https://orcid.org/0000-0001-7921-018X"},"institutions":[{"id":"https://openalex.org/I4391767858","display_name":"State Key Laboratory of Synthetical Automation for Process Industries","ror":"https://ror.org/0380ng272","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767858","https://openalex.org/I9224756"]},{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weinan Gao","raw_affiliation_strings":["Northeastern University,State Key Laboratory of Synthetical Automation for Process Industries,Shenyang,Lianning,China,110819"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University,State Key Laboratory of Synthetical Automation for Process Industries,Shenyang,Lianning,China,110819","institution_ids":["https://openalex.org/I4391767858","https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001388747","display_name":"Omar Daoud","orcid":"https://orcid.org/0000-0002-6999-8070"},"institutions":[{"id":"https://openalex.org/I75535952","display_name":"American University of Kuwait","ror":"https://ror.org/00w73cg32","country_code":"KW","type":"education","lineage":["https://openalex.org/I75535952"]}],"countries":["KW"],"is_corresponding":false,"raw_author_name":"Omar R. Daoud","raw_affiliation_strings":["School of Engineering and Computing, American International University,Electrical and Computer Engineering Department,Al-Jahra,Kuwait"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Computing, American International University,Electrical and Computer Engineering Department,Al-Jahra,Kuwait","institution_ids":["https://openalex.org/I75535952"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.5294,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.93363652,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"115","last_page":"120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12794","display_name":"Adaptive Dynamic Programming Control","score":0.9936000108718872,"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":0.9936000108718872,"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/T12277","display_name":"Frequency Control in Power Systems","score":0.9093999862670898,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.8432564735412598},{"id":"https://openalex.org/keywords/dynamic-programming","display_name":"Dynamic programming","score":0.7162054181098938},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6925745606422424},{"id":"https://openalex.org/keywords/adaptive-control","display_name":"Adaptive control","score":0.5217243432998657},{"id":"https://openalex.org/keywords/optimal-control","display_name":"Optimal control","score":0.5205672383308411},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.41981613636016846},{"id":"https://openalex.org/keywords/temporal-difference-learning","display_name":"Temporal difference learning","score":0.4166693687438965},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33637428283691406},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.20869141817092896},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10888791084289551},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08478686213493347}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8432564735412598},{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.7162054181098938},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6925745606422424},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.5217243432998657},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.5205672383308411},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.41981613636016846},{"id":"https://openalex.org/C196340769","wikidata":"https://www.wikidata.org/wiki/Q7698910","display_name":"Temporal difference learning","level":3,"score":0.4166693687438965},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33637428283691406},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.20869141817092896},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10888791084289551},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08478686213493347}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssd64182.2025.10989895","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssd64182.2025.10989895","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd International Multi-Conference on Systems, Signals & Devices (SSD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1570430800","https://openalex.org/W1680219837","https://openalex.org/W1854776945","https://openalex.org/W1972828069","https://openalex.org/W1976135658","https://openalex.org/W2002723775","https://openalex.org/W2006940338","https://openalex.org/W2016266150","https://openalex.org/W2026324833","https://openalex.org/W2037025184","https://openalex.org/W2048723778","https://openalex.org/W2108714236","https://openalex.org/W2110761557","https://openalex.org/W2118741873","https://openalex.org/W2121039643","https://openalex.org/W2122161467","https://openalex.org/W2135410088","https://openalex.org/W2142044905","https://openalex.org/W2144364707","https://openalex.org/W2148439597","https://openalex.org/W2152161277","https://openalex.org/W2155024125","https://openalex.org/W2157945087","https://openalex.org/W2163910870","https://openalex.org/W2566720177","https://openalex.org/W2778588597","https://openalex.org/W2907944110","https://openalex.org/W2949510088","https://openalex.org/W3011383917","https://openalex.org/W3142931386","https://openalex.org/W4206934304","https://openalex.org/W4213251304","https://openalex.org/W4244299687","https://openalex.org/W4322706796","https://openalex.org/W4377712051","https://openalex.org/W4384916608","https://openalex.org/W4386390175","https://openalex.org/W4404371509"],"related_works":["https://openalex.org/W4400868993","https://openalex.org/W2145363145","https://openalex.org/W1932159282","https://openalex.org/W2341346307","https://openalex.org/W4285537323","https://openalex.org/W2379312070","https://openalex.org/W2136173754","https://openalex.org/W2154399718","https://openalex.org/W2768629321","https://openalex.org/W4384574988"],"abstract_inverted_index":{"Ahstract-":[0],"This":[1,94,170],"paper":[2],"presents":[3],"a":[4,176],"comprehensive":[5],"investigation":[6],"into":[7],"the":[8,18,27,31,42,60,75,87,98,104,107,114,125,146,150,156,166],"stability":[9,20,182],"analysis":[10],"and":[11,110,130,175,183,208],"design":[12],"conditions":[13,28,152],"for":[14,46,135,180],"quantizers":[15],"to":[16,85,188,191],"ensure":[17],"closed-loop":[19],"of":[21,106,127],"continuous-time":[22,136,192],"linear":[23,61],"quantized":[24,108,157,194],"systems,":[25,195,206],"under":[26,165],"derived":[29],"by":[30,37,102,117],"small-gain":[32],"theorem.":[33],"The":[34,120,141],"study":[35,171],"begins":[36],"deriving":[38],"explicit":[39],"bounds":[40],"on":[41,51],"quantizer":[43],"parameters":[44],"required":[45],"maintaining":[47],"system":[48,158],"stability.":[49],"Building":[50],"this":[52],"foundation,":[53],"an":[54,67,78],"optimal":[55,99,162],"controller":[56],"is":[57,92],"designed":[58],"using":[59],"quadratic":[62],"regulator":[63],"(LQR)":[64],"framework,":[65],"providing":[66],"efficient":[68],"data-driven":[69],"control":[70,100,163,184],"strategy.":[71],"To":[72],"further":[73],"enhance":[74],"system's":[76],"performance,":[77],"adaptive":[79,128],"dynamic":[80],"programming":[81],"(ADP)":[82],"algorithm,":[83],"referred":[84],"as":[86,204],"hybrid":[88],"iteration":[89],"(HI)":[90],"method,":[91],"developed.":[93],"algorithm":[95],"effectively":[96],"learns":[97],"policy":[101],"leveraging":[103],"trajectories":[105],"states":[109],"inputs,":[111],"thereby":[112],"addressing":[113,181],"challenges":[115],"posed":[116],"quantization":[118,168],"constraints.":[119],"proposed":[121],"HI":[122],"approach":[123,148],"combines":[124],"advantages":[126],"learning":[129],"optimization,":[131],"making":[132],"it":[133],"well-suited":[134],"systems":[137],"with":[138,149,186,196],"limited":[139],"information.":[140],"simulation":[142],"results":[143],"confirm":[144],"that":[145],"ADP":[147],"provided":[151],"not":[153],"only":[154],"stabilizes":[155],"but":[159],"also":[160],"achieves":[161],"performance":[164],"specified":[167],"conditions.":[169],"offers":[172],"valuable":[173],"insights":[174,187],"robust":[177],"methodological":[178],"framework":[179],"challenges,":[185],"be":[189],"expanded":[190],"nonlinear":[193],"potential":[197],"applications":[198],"in":[199],"various":[200],"engineering":[201],"domains,":[202],"such":[203],"networked":[205],"robotics":[207],"autonomous":[209],"systems.":[210]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2025-10-10T00:00:00"}