{"id":"https://openalex.org/W4416381272","doi":"https://doi.org/10.1109/tase.2025.3630647","title":"Resilient Practical Predefined-Time Reinforcement Learning Control for Two-Wheeled Robots Under Actuator Attacks","display_name":"Resilient Practical Predefined-Time Reinforcement Learning Control for Two-Wheeled Robots Under Actuator Attacks","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416381272","doi":"https://doi.org/10.1109/tase.2025.3630647"},"language":null,"primary_location":{"id":"doi:10.1109/tase.2025.3630647","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2025.3630647","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/A5100711254","display_name":"Han Xue","orcid":"https://orcid.org/0000-0002-6418-9581"},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Han Xue","raw_affiliation_strings":["Navigation College, Jimei University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Navigation College, Jimei University, Xiamen, China","institution_ids":["https://openalex.org/I161346416"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027970511","display_name":"Fei\u2010Yun Wu","orcid":"https://orcid.org/0000-0002-0276-4093"},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei-Yun Wu","raw_affiliation_strings":["Navigation College, Jimei University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Navigation College, Jimei University, Xiamen, China","institution_ids":["https://openalex.org/I161346416"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100711254"],"corresponding_institution_ids":["https://openalex.org/I161346416"],"apc_list":null,"apc_paid":null,"fwci":1.42,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.8770877,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"22","issue":null,"first_page":"23946","last_page":"23958"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12794","display_name":"Adaptive Dynamic Programming Control","score":0.8155999779701233,"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":0.8155999779701233,"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":0.055799998342990875,"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/T14083","display_name":"Extremum Seeking Control Systems","score":0.01850000023841858,"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":0.83160001039505},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.6991000175476074},{"id":"https://openalex.org/keywords/actuator","display_name":"Actuator","score":0.6518999934196472},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5703999996185303},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5260000228881836},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4957999885082245},{"id":"https://openalex.org/keywords/settling-time","display_name":"Settling time","score":0.4553000032901764},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.4077000021934509},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4000000059604645}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.83160001039505},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.6991000175476074},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.6518999934196472},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5703999996185303},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5371999740600586},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5260000228881836},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4957999885082245},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.48500001430511475},{"id":"https://openalex.org/C14781684","wikidata":"https://www.wikidata.org/wiki/Q3983320","display_name":"Settling time","level":3,"score":0.4553000032901764},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.41359999775886536},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.4077000021934509},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4000000059604645},{"id":"https://openalex.org/C60640748","wikidata":"https://www.wikidata.org/wiki/Q2337858","display_name":"Lyapunov function","level":3,"score":0.3878999948501587},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.35429999232292175},{"id":"https://openalex.org/C117619785","wikidata":"https://www.wikidata.org/wiki/Q6094414","display_name":"Iterative learning control","level":3,"score":0.3434999883174896},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.3393999934196472},{"id":"https://openalex.org/C31531917","wikidata":"https://www.wikidata.org/wiki/Q915157","display_name":"Robust control","level":3,"score":0.3264000117778778},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.3260999917984009},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.3176000118255615},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2957000136375427},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.2953999936580658},{"id":"https://openalex.org/C65401140","wikidata":"https://www.wikidata.org/wiki/Q7353385","display_name":"Robot control","level":4,"score":0.2750000059604645},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.26969999074935913},{"id":"https://openalex.org/C74222875","wikidata":"https://www.wikidata.org/wiki/Q16000312","display_name":"Robot kinematics","level":4,"score":0.26589998602867126},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.26579999923706055},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.25450000166893005}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tase.2025.3630647","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2025.3630647","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/G595402589","display_name":null,"funder_award_id":"62171369","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8398422624","display_name":null,"funder_award_id":"52201411","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8464694811","display_name":null,"funder_award_id":"2025J01858","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W2109879495","https://openalex.org/W2796225979","https://openalex.org/W3020748207","https://openalex.org/W3207351513","https://openalex.org/W3215528317","https://openalex.org/W4226297097","https://openalex.org/W4283371136","https://openalex.org/W4327571626","https://openalex.org/W4362474446","https://openalex.org/W4382400557","https://openalex.org/W4383503943","https://openalex.org/W4388430413","https://openalex.org/W4395685090","https://openalex.org/W4401691699","https://openalex.org/W4405192229","https://openalex.org/W4405527642","https://openalex.org/W4406170468","https://openalex.org/W4406258499","https://openalex.org/W4407097980","https://openalex.org/W4407404214","https://openalex.org/W4407554974","https://openalex.org/W4407826111","https://openalex.org/W4409426315","https://openalex.org/W4410294586","https://openalex.org/W4410398157","https://openalex.org/W4411580108","https://openalex.org/W4411948526","https://openalex.org/W4412030424","https://openalex.org/W4412081502","https://openalex.org/W4414997933"],"related_works":[],"abstract_inverted_index":{"Given":[0],"that":[1,106],"time-consuming":[2],"adjustment":[3],"processes":[4],"can":[5,140],"result":[6],"in":[7,83,152],"system":[8],"instability":[9],"or":[10],"substantial":[11],"performance":[12],"degradation,":[13],"it":[14],"is":[15,39,48,73,81,120],"crucial":[16],"to":[17,52,61,90,104,125,146,154],"ensure":[18,105],"stability":[19,166],"within":[20],"a":[21,65],"predefined":[22],"timeframe":[23],"without":[24],"requiring":[25],"prior":[26],"knowledge":[27],"of":[28,44,68,77,86,117,169],"the":[29,42,49,54,69,78,107,112,132,164],"attack":[30],"signals.":[31],"A":[32],"practical":[33],"predefined-time":[34,58,87],"reinforcement":[35,55,88,147,156],"learning":[36,56,89,148,157],"control":[37,71,158,172],"mechanism":[38],"designed.":[40],"To":[41],"best":[43],"our":[45],"knowledge,":[46],"this":[47,118,161],"first":[50],"time":[51,134],"propose":[53],"with":[57],"convergence":[59],"subjected":[60],"actuator":[62,92,174],"attacks.":[63],"Subsequently,":[64],"theoretical":[66],"proof":[67],"proposed":[70,79],"algorithm":[72,80],"provided.":[74],"The":[75,115],"flexibility":[76],"reflected":[82],"its":[84,123],"use":[85],"handle":[91],"attacks,":[93],"measurement":[94],"limitation,":[95],"and":[96,138,149,167,176],"unmodeled":[97],"errors,":[98],"while":[99],"employing":[100],"Barrier":[101],"Lyapunov":[102],"Function":[103],"state":[108],"tracking":[109],"errors":[110],"meet":[111],"constraint":[113],"conditions.":[114],"effectiveness":[116],"approach":[119],"verified":[121],"through":[122],"application":[124],"two-wheeled":[126,170],"robots":[127],"for":[128,135],"trajectory":[129],"tracking.":[130],"Consequently,":[131],"settling":[133],"both":[136],"position":[137],"angle":[139],"be":[141],"decreased":[142],"by":[143,150],"77.8%":[144],"compared":[145],"66.7%":[151],"relation":[153],"fixed-time":[155],"method.":[159],"Ultimately,":[160],"research":[162],"enhances":[163],"transient":[165],"robustness":[168],"robot":[171],"under":[173],"attacks":[175],"disturbance.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-11-10T00:00:00"}
