{"id":"https://openalex.org/W7117542489","doi":"https://doi.org/10.1109/tie.2025.3639720","title":"Deep Neural Network-Based Adaptive Control for Unmanned Surface Vehicles With Uncertain Dynamics","display_name":"Deep Neural Network-Based Adaptive Control for Unmanned Surface Vehicles With Uncertain Dynamics","publication_year":2025,"publication_date":"2025-12-30","ids":{"openalex":"https://openalex.org/W7117542489","doi":"https://doi.org/10.1109/tie.2025.3639720"},"language":null,"primary_location":{"id":"doi:10.1109/tie.2025.3639720","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2025.3639720","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"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 Industrial Electronics","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/A5073791412","display_name":"D S Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dongxiao Liu","raw_affiliation_strings":["School of Automation, Qingdao University, Qingdao, China"],"raw_orcid":"https://orcid.org/0009-0002-8811-7459","affiliations":[{"raw_affiliation_string":"School of Automation, Qingdao University, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100743476","display_name":"Jiapeng Liu","orcid":"https://orcid.org/0000-0002-5014-9490"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiapeng Liu","raw_affiliation_strings":["School of Automation, Qingdao University, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-5014-9490","affiliations":[{"raw_affiliation_string":"School of Automation, Qingdao University, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121544011","display_name":"Xinkai Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I171481255","display_name":"Shibaura Institute of Technology","ror":"https://ror.org/020wjcq07","country_code":"JP","type":"education","lineage":["https://openalex.org/I171481255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xinkai Chen","raw_affiliation_strings":["Department of Electronic and Information Systems, Shibaura Institute of Technology, Saitama, Japan"],"raw_orcid":"https://orcid.org/0000-0001-7381-9760","affiliations":[{"raw_affiliation_string":"Department of Electronic and Information Systems, Shibaura Institute of Technology, Saitama, Japan","institution_ids":["https://openalex.org/I171481255"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5121553842","display_name":"Jinpeng Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinpeng Yu","raw_affiliation_strings":["School of Automation, Qingdao University, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-5432-1702","affiliations":[{"raw_affiliation_string":"School of Automation, Qingdao University, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5073791412"],"corresponding_institution_ids":["https://openalex.org/I108688024"],"apc_list":null,"apc_paid":null,"fwci":1.8961,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.88599464,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"73","issue":"5","first_page":"7599","last_page":"7607"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10040","display_name":"Adaptive Control of Nonlinear Systems","score":0.49639999866485596,"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/T10040","display_name":"Adaptive Control of Nonlinear Systems","score":0.49639999866485596,"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/T11622","display_name":"Maritime Navigation and Safety","score":0.1145000010728836,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T12794","display_name":"Adaptive Dynamic Programming Control","score":0.09059999883174896,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/adaptive-control","display_name":"Adaptive control","score":0.6862999796867371},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6804999709129333},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.6729999780654907},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6452000141143799},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5289999842643738},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.512499988079071},{"id":"https://openalex.org/keywords/vehicle-dynamics","display_name":"Vehicle dynamics","score":0.5083000063896179},{"id":"https://openalex.org/keywords/lyapunov-function","display_name":"Lyapunov function","score":0.48750001192092896},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47099998593330383}],"concepts":[{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.6862999796867371},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6804999709129333},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.6729999780654907},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6452000141143799},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5806000232696533},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5289999842643738},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.512499988079071},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.5083000063896179},{"id":"https://openalex.org/C60640748","wikidata":"https://www.wikidata.org/wiki/Q2337858","display_name":"Lyapunov function","level":3,"score":0.48750001192092896},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47099998593330383},{"id":"https://openalex.org/C2776829284","wikidata":"https://www.wikidata.org/wiki/Q1341651","display_name":"Lyapunov stability","level":3,"score":0.4650000035762787},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.46160000562667847},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.42250001430511475},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.40959998965263367},{"id":"https://openalex.org/C52970973","wikidata":"https://www.wikidata.org/wiki/Q2497134","display_name":"Adaptive system","level":2,"score":0.3824999928474426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3546000123023987},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.3537999987602234},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.3330000042915344},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.31290000677108765},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.30410000681877136},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.2824999988079071},{"id":"https://openalex.org/C2987248590","wikidata":"https://www.wikidata.org/wiki/Q4419860","display_name":"Unmanned surface vehicle","level":2,"score":0.27889999747276306},{"id":"https://openalex.org/C82327864","wikidata":"https://www.wikidata.org/wiki/Q835100","display_name":"Intelligent control","level":2,"score":0.2786000072956085},{"id":"https://openalex.org/C77405623","wikidata":"https://www.wikidata.org/wiki/Q598451","display_name":"System dynamics","level":2,"score":0.2754000127315521},{"id":"https://openalex.org/C125014702","wikidata":"https://www.wikidata.org/wiki/Q4680749","display_name":"Adaptive learning","level":2,"score":0.26980000734329224},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.26930001378059387}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tie.2025.3639720","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2025.3639720","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"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 Industrial Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7221426367759705}],"awards":[{"id":"https://openalex.org/G6421470455","display_name":null,"funder_award_id":"62473220","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7534966998","display_name":null,"funder_award_id":"62303255","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"article":[1],"focuses":[2],"on":[3],"the":[4,12,27,30,36,46,49,52,57,61,66,81,87,94,97,103,116],"application":[5],"issue":[6],"of":[7,29,51,60,83,96,118],"deep":[8,31,53,88],"neural":[9,32,54,89],"networks":[10,55],"for":[11],"control":[13,37],"strategy":[14],"in":[15,99],"unmanned":[16,62],"surface":[17,63],"vehicles.":[18],"A":[19],"novel":[20],"adaptive":[21,77],"law":[22],"is":[23],"developed":[24],"to":[25,40,79,114],"update":[26],"weights":[28],"networks,":[33],"thereby":[34],"enhancing":[35],"strategy\u2019s":[38],"ability":[39],"handle":[41],"uncertain":[42],"dynamics.":[43],"We":[44,91],"establish":[45],"relationship":[47],"between":[48],"output":[50],"and":[56,109],"dynamic":[58],"response":[59],"vehicle":[64],"using":[65,102],"command":[67],"filter":[68],"method.":[69,121],"And":[70],"then,":[71],"we":[72],"develop":[73],"a":[74],"convex":[75],"optimization-based":[76],"approach":[78],"address":[80],"challenges":[82],"online":[84],"learning":[85],"within":[86],"network.":[90],"also":[92],"prove":[93],"convergence":[95],"signals":[98],"our":[100,119],"controller":[101],"Lyapunov":[104],"stability":[105],"theorem.":[106],"Finally,":[107],"simulation":[108],"experiment":[110],"results":[111],"are":[112],"given":[113],"demonstrate":[115],"effectiveness":[117],"proposed":[120]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-05-30T09:04:40.226872","created_date":"2025-12-30T00:00:00"}
