{"id":"https://openalex.org/W7154412214","doi":"https://doi.org/10.1109/taes.2026.3683854","title":"Predefined-Time Reinforcement Learning for Multi-AAV System Formation Control Under DoS Attack","display_name":"Predefined-Time Reinforcement Learning for Multi-AAV System Formation Control Under DoS Attack","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7154412214","doi":"https://doi.org/10.1109/taes.2026.3683854"},"language":null,"primary_location":{"id":"doi:10.1109/taes.2026.3683854","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2026.3683854","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"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 Aerospace and Electronic Systems","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/A5133568040","display_name":"Zhenyu Gong","orcid":"https://orcid.org/0009-0001-8342-0136"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenyu Gong","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi’an, China"],"raw_orcid":"https://orcid.org/0009-0001-8342-0136","affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059409654","display_name":"Feisheng Yang","orcid":"https://orcid.org/0000-0002-6836-6864"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feisheng Yang","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-6836-6864","affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034926085","display_name":"Zhucheng Liu","orcid":"https://orcid.org/0009-0002-6116-5493"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhucheng Liu","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi’an, China"],"raw_orcid":"https://orcid.org/0009-0002-6116-5493","affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5133568040"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.65967681,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"62","issue":null,"first_page":"9969","last_page":"9981"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12794","display_name":"Adaptive Dynamic Programming Control","score":0.4235999882221222,"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":0.4235999882221222,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.19550000131130219,"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.06849999725818634,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/control-system","display_name":"Control system","score":0.4864000082015991},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.46129998564720154},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.4194999933242798},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4043000042438507},{"id":"https://openalex.org/keywords/radar-tracker","display_name":"Radar tracker","score":0.35269999504089355},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.2985999882221222}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5976999998092651},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.4864000082015991},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.46129998564720154},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4194999933242798},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4043000042438507},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.37369999289512634},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3668999969959259},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.35269999504089355},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2985999882221222},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2921999990940094},{"id":"https://openalex.org/C155386361","wikidata":"https://www.wikidata.org/wiki/Q1649571","display_name":"Process control","level":3,"score":0.29100000858306885},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.2840999960899353},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2754000127315521},{"id":"https://openalex.org/C167123822","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automatic control","level":2,"score":0.275299996137619}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taes.2026.3683854","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2026.3683854","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"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 Aerospace and Electronic Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4518436937","display_name":null,"funder_award_id":"62473316","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5585305015","display_name":null,"funder_award_id":"2020Z034053002","funder_id":"https://openalex.org/F4320322857","funder_display_name":"Aeronautical Science Foundation of China"},{"id":"https://openalex.org/G955741015","display_name":null,"funder_award_id":"2025A1515011730","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322857","display_name":"Aeronautical Science Foundation of China","ror":"https://ror.org/02wq41p38"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"article":[1],"studies":[2],"the":[3,15,27,31,34,41,48,52,58,66,72,80,84,99,109,121,124],"secure":[4,28],"formation":[5],"problem":[6],"for":[7,65],"multiple":[8],"autonomous":[9],"aerial":[10],"vehicles":[11],"(AAVs)":[12],"subject":[13],"to":[14,25,39,78,97,119],"denial-of-service":[16],"(DoS)":[17],"attack.":[18,46],"An":[19],"estimation-control":[20],"hierarchical":[21],"architecture":[22],"is":[23,76,95],"introduced":[24],"design":[26],"controllers.":[29],"In":[30,47],"estimation":[32],"layer,":[33,50],"resilient":[35],"observers":[36],"are":[37,63,112,117],"designed":[38],"estimate":[40],"leader's":[42],"states":[43],"under":[44],"DoS":[45],"control":[49,74,101],"by":[51],"time":[53],"base":[54],"generator":[55],"(TBG)":[56],"technique,":[57],"optimized":[59,100],"predefined-time":[60,91,106],"backstepping":[61],"controllers":[62],"devised":[64],"position":[67],"and":[68,108],"attitude":[69],"loops.":[70],"Obtaining":[71],"optimal":[73],"policies":[75,102],"related":[77],"solving":[79],"Hamilton-Jacobi-Bellman":[81],"equations.":[82],"Utilizing":[83],"critic-only":[85],"neural":[86],"network":[87],"structure,":[88],"a":[89],"TBG-based":[90],"reinforcement":[92],"learning":[93],"algorithm":[94],"proposed":[96],"learn":[98],"online.":[103],"The":[104],"corresponding":[105],"convergence":[107],"closed-loop":[110],"stability":[111],"analyzed.":[113],"Finally,":[114],"simulation":[115],"examples":[116],"conducted":[118],"verify":[120],"effectiveness":[122],"of":[123],"presented":[125],"scheme.":[126]},"counts_by_year":[],"updated_date":"2026-05-26T06:15:08.310788","created_date":"2026-04-15T00:00:00"}