{"id":"https://openalex.org/W7130420292","doi":"https://doi.org/10.1109/tsmc.2026.3660251","title":"Safety\u2013Critical Pursuit\u2013Evasion Game of Multiple Autonomous Surface Vehicles Based on Min\u2013Max Optimization and Neural Network Dynamic Control","display_name":"Safety\u2013Critical Pursuit\u2013Evasion Game of Multiple Autonomous Surface Vehicles Based on Min\u2013Max Optimization and Neural Network Dynamic Control","publication_year":2026,"publication_date":"2026-02-18","ids":{"openalex":"https://openalex.org/W7130420292","doi":"https://doi.org/10.1109/tsmc.2026.3660251"},"language":null,"primary_location":{"id":"doi:10.1109/tsmc.2026.3660251","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2026.3660251","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"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 Systems, Man, and Cybernetics: 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/A5126305183","display_name":"Ronghui Li","orcid":null},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ronghui Li","raw_affiliation_strings":["School of Marine Electrical Engineering, Dalian Maritime University, Dalian, China"],"raw_orcid":"https://orcid.org/0009-0001-2081-4349","affiliations":[{"raw_affiliation_string":"School of Marine Electrical Engineering, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126307421","display_name":"Nan Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Gu","raw_affiliation_strings":["School of Marine Electrical Engineering, Dalian Maritime University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-2214-9928","affiliations":[{"raw_affiliation_string":"School of Marine Electrical Engineering, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008227254","display_name":"D H Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Wang","raw_affiliation_strings":["School of Marine Electrical Engineering, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Marine Electrical Engineering, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhouhua Peng","orcid":"https://orcid.org/0000-0003-4468-7281"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhouhua Peng","raw_affiliation_strings":["School of Marine Electrical Engineering, Dalian Maritime University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0003-4468-7281","affiliations":[{"raw_affiliation_string":"School of Marine Electrical Engineering, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5126299761","display_name":"Weidong Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weidong Zhang","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-4700-1276","affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25766729,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"56","issue":"6","first_page":"3804","last_page":"3814"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12158","display_name":"Guidance and Control Systems","score":0.9793000221252441,"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"}},"topics":[{"id":"https://openalex.org/T12158","display_name":"Guidance and Control Systems","score":0.9793000221252441,"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"}},{"id":"https://openalex.org/T11082","display_name":"Spacecraft Dynamics and Control","score":0.005100000184029341,"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"}},{"id":"https://openalex.org/T12794","display_name":"Adaptive Dynamic Programming Control","score":0.0032999999821186066,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.6588000059127808},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5410000085830688},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5291000008583069},{"id":"https://openalex.org/keywords/collision-avoidance","display_name":"Collision avoidance","score":0.5019999742507935},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4740999937057495},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.45190000534057617},{"id":"https://openalex.org/keywords/underactuation","display_name":"Underactuation","score":0.4262999892234802},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.36660000681877136},{"id":"https://openalex.org/keywords/vehicle-dynamics","display_name":"Vehicle dynamics","score":0.35989999771118164}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6588000059127808},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5410000085830688},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5291000008583069},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5284000039100647},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.5019999742507935},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4740999937057495},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.45190000534057617},{"id":"https://openalex.org/C88337583","wikidata":"https://www.wikidata.org/wiki/Q7883433","display_name":"Underactuation","level":3,"score":0.4262999892234802},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.36660000681877136},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.35989999771118164},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.35910001397132874},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.3580000102519989},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3571000099182129},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.35420000553131104},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.3402999937534332},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3278999924659729},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.32510000467300415},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.31459999084472656},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.296999990940094},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.28760001063346863},{"id":"https://openalex.org/C2777016798","wikidata":"https://www.wikidata.org/wiki/Q2001988","display_name":"Collision avoidance system","level":4,"score":0.2750999927520752},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.2669999897480011},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.2551000118255615},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.2540000081062317}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsmc.2026.3660251","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2026.3660251","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"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 Systems, Man, and Cybernetics: Systems","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":0.6300606727600098}],"awards":[{"id":"https://openalex.org/G1852921944","display_name":null,"funder_award_id":"2022ZD0119903","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G357724689","display_name":null,"funder_award_id":"U25A20458","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5890028600","display_name":null,"funder_award_id":"52501374","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7160276117","display_name":null,"funder_award_id":"52471372","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7655898927","display_name":null,"funder_award_id":"2023JJ11CG008","funder_id":"https://openalex.org/F4320316335","funder_display_name":"Shanghai Key Basic Research Program"}],"funders":[{"id":"https://openalex.org/F4320316335","display_name":"Shanghai Key Basic Research Program","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"article":[1],"investigates":[2],"the":[3,46,50,88,123,137,149,157,168,171],"pursuit\u2013evasion":[4,21],"problem":[5],"of":[6,49,62,170],"multiple":[7],"underactuated":[8],"autonomous":[9],"surface":[10],"vehicles":[11],"(ASVs)":[12],"under":[13],"velocity":[14],"and":[15,29,52,59,125,128,156,180],"collision":[16,109],"avoidance":[17,110],"constraints.":[18],"A":[19,162],"safety\u2013critical":[20,105,173],"game":[22],"(PEG)":[23],"method":[24,175],"based":[25,44,94,176],"on":[26,45,95,177],"min\u2013max":[27,84,178],"optimization":[28,85,179],"neural":[30,117,181],"network":[31,118,182],"dynamic":[32,130,183],"control":[33,81,98,131],"is":[34,40,75,92,119,133,146,152,160],"proposed.":[35],"Specifically,":[36],"an":[37],"allocation":[38,61],"strategy":[39],"designed":[41],"at":[42],"first":[43],"position":[47],"information":[48],"pursuing":[51],"evading":[53],"ASVs":[54],"to":[55,121,135],"achieve":[56],"a":[57,70,96,104,115,129],"rational":[58],"efficient":[60],"pursuit":[63,67],"targets":[64],"by":[65,77],"minimizing":[66],"distances.":[68],"Next,":[69],"nominal":[71,89],"PEG":[72,174],"guidance":[73,90,106,138],"law":[74,91,107,132],"proposed":[76,134,172],"combining":[78],"model":[79,143],"predictive":[80],"(MPC)":[82],"with":[83],"methods.":[86],"Then,":[87],"optimized":[93],"heading-constrained":[97],"barrier":[99],"function":[100],"(CBF)":[101],"such":[102],"that":[103,148],"for":[108],"can":[111],"be":[112],"achieved.":[113],"Finally,":[114],"predicator-based":[116],"developed":[120],"estimate":[122],"uncertainty":[124],"external":[126],"disturbance,":[127],"track":[136],"signals":[139],"without":[140],"using":[141],"any":[142],"parameters.":[144],"It":[145],"proven":[147],"closed-loop":[150],"system":[151,159],"input\u2013to\u2013state":[153],"stable":[154],"(ISS),":[155],"ASV":[158],"safe.":[161],"robot-operating-system":[163],"(ROS)-based":[164],"simulation":[165],"results":[166],"demonstrate":[167],"effectiveness":[169],"control.":[184]},"counts_by_year":[],"updated_date":"2026-05-19T06:13:58.757530","created_date":"2026-02-19T00:00:00"}