{"id":"https://openalex.org/W4417130714","doi":"https://doi.org/10.1109/tase.2025.3641526","title":"Deep Reinforcement Learning-Driven Parameter Tuning for Adaptive Control Systems in Hypersonic Flight Vehicle","display_name":"Deep Reinforcement Learning-Driven Parameter Tuning for Adaptive Control Systems in Hypersonic Flight Vehicle","publication_year":2025,"publication_date":"2025-12-08","ids":{"openalex":"https://openalex.org/W4417130714","doi":"https://doi.org/10.1109/tase.2025.3641526"},"language":null,"primary_location":{"id":"doi:10.1109/tase.2025.3641526","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2025.3641526","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","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/A5100684874","display_name":"Maolong Lv","orcid":"https://orcid.org/0000-0001-6406-2399"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Maolong Lv","raw_affiliation_strings":["College of Air Traffic Control and Navigation, Air Force Engineering University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"College of Air Traffic Control and Navigation, Air Force Engineering University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064825247","display_name":"Qingrui Zhang","orcid":"https://orcid.org/0000-0002-1733-159X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingrui Zhang","raw_affiliation_strings":["Sun Yat-sen University, Guangzhou, China","Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006028411","display_name":"Zehong Dong","orcid":"https://orcid.org/0000-0002-1838-057X"},"institutions":[{"id":"https://openalex.org/I2802505932","display_name":"China Aerodynamics Research and Development Center","ror":"https://ror.org/00jma8s40","country_code":"CN","type":"facility","lineage":["https://openalex.org/I2802505932"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zehong Dong","raw_affiliation_strings":["China Aerodynamics Research and Development Center, High Speed Aerodynamics Research Institute, Mianyang, China"],"affiliations":[{"raw_affiliation_string":"China Aerodynamics Research and Development Center, High Speed Aerodynamics Research Institute, Mianyang, China","institution_ids":["https://openalex.org/I2802505932"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087628687","display_name":"Zongyu Zuo","orcid":"https://orcid.org/0000-0003-3444-9538"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongyu Zuo","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100684874"],"corresponding_institution_ids":["https://openalex.org/I4210104252"],"apc_list":null,"apc_paid":null,"fwci":1.42,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.88012667,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"23","issue":null,"first_page":"784","last_page":"797"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12794","display_name":"Adaptive Dynamic Programming Control","score":0.6912999749183655,"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":0.6912999749183655,"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":0.11890000104904175,"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/T12125","display_name":"Aerospace and Aviation Technology","score":0.04729999974370003,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/control-theory","display_name":"Control theory (sociology)","score":0.741100013256073},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7335000038146973},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.603600025177002},{"id":"https://openalex.org/keywords/adaptive-control","display_name":"Adaptive control","score":0.5888000130653381},{"id":"https://openalex.org/keywords/hypersonic-speed","display_name":"Hypersonic speed","score":0.5649999976158142},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5515999794006348},{"id":"https://openalex.org/keywords/hypersonic-flight","display_name":"Hypersonic flight","score":0.5248000025749207},{"id":"https://openalex.org/keywords/optimal-control","display_name":"Optimal control","score":0.43070000410079956},{"id":"https://openalex.org/keywords/tracking-error","display_name":"Tracking error","score":0.41990000009536743},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4133000075817108}],"concepts":[{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.741100013256073},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7335000038146973},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.603600025177002},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.5888000130653381},{"id":"https://openalex.org/C122824865","wikidata":"https://www.wikidata.org/wiki/Q830787","display_name":"Hypersonic speed","level":2,"score":0.5649999976158142},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5515999794006348},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5461000204086304},{"id":"https://openalex.org/C198813307","wikidata":"https://www.wikidata.org/wiki/Q3523908","display_name":"Hypersonic flight","level":3,"score":0.5248000025749207},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.43070000410079956},{"id":"https://openalex.org/C183356978","wikidata":"https://www.wikidata.org/wiki/Q1779213","display_name":"Tracking error","level":3,"score":0.41990000009536743},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4133000075817108},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.41290000081062317},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.3889999985694885},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.3686000108718872},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.33970001339912415},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.33480000495910645},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.32850000262260437},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.32839998602867126},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.2987000048160553},{"id":"https://openalex.org/C52970973","wikidata":"https://www.wikidata.org/wiki/Q2497134","display_name":"Adaptive system","level":2,"score":0.2946000099182129},{"id":"https://openalex.org/C150189527","wikidata":"https://www.wikidata.org/wiki/Q356674","display_name":"Reference model","level":2,"score":0.2919999957084656},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.2863999903202057},{"id":"https://openalex.org/C41376638","wikidata":"https://www.wikidata.org/wiki/Q214932","display_name":"Flight simulator","level":2,"score":0.2824999988079071},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.2777999937534332},{"id":"https://openalex.org/C91581856","wikidata":"https://www.wikidata.org/wiki/Q2707001","display_name":"Nonlinear control","level":3,"score":0.27639999985694885},{"id":"https://openalex.org/C115527620","wikidata":"https://www.wikidata.org/wiki/Q769909","display_name":"Nonlinear programming","level":3,"score":0.2651999890804291},{"id":"https://openalex.org/C206923515","wikidata":"https://www.wikidata.org/wiki/Q5459269","display_name":"Flight dynamics","level":3,"score":0.26510000228881836},{"id":"https://openalex.org/C197231348","wikidata":"https://www.wikidata.org/wiki/Q1705284","display_name":"Flight control surfaces","level":3,"score":0.2646999955177307},{"id":"https://openalex.org/C2776003309","wikidata":"https://www.wikidata.org/wiki/Q1988072","display_name":"Adaptive algorithm","level":2,"score":0.2554999887943268},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.2522999942302704}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tase.2025.3641526","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2025.3641526","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1295079476","display_name":null,"funder_award_id":"2024JC-YBQN-0668","funder_id":"https://openalex.org/F4320336567","funder_display_name":"Natural Science Basic Research Program of Shaanxi Province"},{"id":"https://openalex.org/G3440229076","display_name":null,"funder_award_id":"62303489","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3934599601","display_name":null,"funder_award_id":"GKJJ24050502","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7485926322","display_name":null,"funder_award_id":"2023T160790","funder_id":"https://openalex.org/F4320335443","funder_display_name":"Postdoctoral Research Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335443","display_name":"Postdoctoral Research Foundation of China","ror":null},{"id":"https://openalex.org/F4320336567","display_name":"Natural Science Basic Research Program of Shaanxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1996316568","https://openalex.org/W2016332739","https://openalex.org/W2047828854","https://openalex.org/W2052688942","https://openalex.org/W2068768759","https://openalex.org/W2145339207","https://openalex.org/W2328246810","https://openalex.org/W2558574356","https://openalex.org/W2758621768","https://openalex.org/W2766447205","https://openalex.org/W2797390913","https://openalex.org/W2808909014","https://openalex.org/W2810241586","https://openalex.org/W2816191014","https://openalex.org/W2889669192","https://openalex.org/W2902907165","https://openalex.org/W2966477753","https://openalex.org/W2968262399","https://openalex.org/W2972997443","https://openalex.org/W2979446673","https://openalex.org/W2979772163","https://openalex.org/W2997053319","https://openalex.org/W3039793486","https://openalex.org/W3045581374","https://openalex.org/W3047221759","https://openalex.org/W3086351065","https://openalex.org/W3092487711","https://openalex.org/W3118331990","https://openalex.org/W3125737395","https://openalex.org/W3134170990","https://openalex.org/W3158749502","https://openalex.org/W3171453668","https://openalex.org/W3173267200","https://openalex.org/W4200331411","https://openalex.org/W4285605593","https://openalex.org/W4390956278","https://openalex.org/W4394770855","https://openalex.org/W4399404989","https://openalex.org/W4399526275","https://openalex.org/W4403863212","https://openalex.org/W4404357791","https://openalex.org/W4408182859","https://openalex.org/W4409098796","https://openalex.org/W4409257709","https://openalex.org/W4409473696"],"related_works":[],"abstract_inverted_index":{"Hypersonic":[0],"flight":[1,81,111,170],"vehicle":[2,171],"faces":[3],"critical":[4,166],"challenges":[5],"of":[6,42,59,73,86,129,134,142,186,189],"control":[7,33,61,95,137,208],"from":[8,118,150],"highly":[9],"nonlinear":[10],"and":[11,62,70,110,138,163,194],"time-varying":[12],"uncertainties,":[13],"which":[14,114,146],"impose":[15],"stringent":[16],"requirements":[17],"for":[18,77,167],"real-time":[19,99],"parameter":[20],"adaptation":[21],"under":[22,107,191,196],"safety":[23],"constraints.":[24],"This":[25],"paper":[26],"proposes":[27],"a":[28,56,87,98,181],"reinforcement":[29,63,88,153],"learning-based":[30,74,89,154],"adaptive":[31,136],"tracking":[32,105,187],"algorithm":[34],"to":[35,47,65,102,201],"address":[36],"these":[37],"issues.":[38],"The":[39],"crucial":[40],"contributions":[41],"our":[43,148],"design,":[44],"as":[45],"opposed":[46],"the":[48,67,78,84,104,126,131,135,139,143,177,184,202],"state-of-the-art":[49],"approaches,":[50],"lie":[51],"in":[52,97,183],"three":[53],"aspects:":[54],"(a)":[55],"hybrid":[57],"design":[58,149],"model-based":[60],"learning":[64,144],"alleviate":[66],"safety,":[68],"stability":[69,133,159],"generalization":[71],"issues":[72],"methods":[75,121,155],"specifically":[76],"demanding":[79],"hypersonic":[80,169],"environment;":[82],"(b)":[83],"establishment":[85],"optimization":[90],"framework":[91],"that":[92,156,176],"dynamically":[93],"adjusts":[94],"parameters":[96],"optimal":[100],"fashion":[101],"improve":[103],"performance":[106,141],"dynamic":[108],"uncertainties":[109],"regime":[112],"transitions,":[113],"is":[115,164],"substantially":[116],"different":[117],"most":[119,151],"conventional":[120],"with":[122],"constant":[123],"parameters;":[124],"(c)":[125],"theoretical":[127],"analysis":[128],"both":[130],"closed-loop":[132],"convergence":[140,161],"algorithm,":[145],"distinguishes":[147],"existing":[152],"have":[157],"no":[158],"or":[160],"guarantee":[162],"particularly":[165],"safety-critical":[168],"applications.":[172],"Numerical":[173],"simulations":[174],"show":[175],"proposed":[178],"method":[179],"achieves":[180],"reduction":[182],"integral":[185],"error":[188],"8.31%":[190],"model":[192],"perturbations":[193],"34.3%":[195],"changing":[197],"reference":[198],"trajectories,":[199],"compared":[200],"baseline":[203],"method,":[204],"while":[205],"maintaining":[206],"comparable":[207],"energy":[209],"consumption.":[210]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-12-08T00:00:00"}
