{"id":"https://openalex.org/W4405306368","doi":"https://doi.org/10.1109/indin58382.2024.10774484","title":"Event-Triggered Mechanism-Based MPC for Path-Tracking Control of Four-Wheel Steering Vehicles","display_name":"Event-Triggered Mechanism-Based MPC for Path-Tracking Control of Four-Wheel Steering Vehicles","publication_year":2024,"publication_date":"2024-08-18","ids":{"openalex":"https://openalex.org/W4405306368","doi":"https://doi.org/10.1109/indin58382.2024.10774484"},"language":"en","primary_location":{"id":"doi:10.1109/indin58382.2024.10774484","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin58382.2024.10774484","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 22nd International Conference on Industrial Informatics (INDIN)","raw_type":"proceedings-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/A5100362456","display_name":"Xiangyu Zhang","orcid":"https://orcid.org/0000-0002-4858-5429"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xiangyu Zhang","raw_affiliation_strings":["School of Transportation Science and Engineering,State Key Lab of Intelligent Transportation System"],"affiliations":[{"raw_affiliation_string":"School of Transportation Science and Engineering,State Key Lab of Intelligent Transportation System","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112785835","display_name":"Guoyan Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guoyan Xu","raw_affiliation_strings":["School of Transportation Science and Engineering,State Key Lab of Intelligent Transportation System"],"affiliations":[{"raw_affiliation_string":"School of Transportation Science and Engineering,State Key Lab of Intelligent Transportation System","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101566938","display_name":"Han Li","orcid":"https://orcid.org/0000-0001-8502-3794"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han Li","raw_affiliation_strings":["School of Transportation Science and Engineering,State Key Lab of Intelligent Transportation System"],"affiliations":[{"raw_affiliation_string":"School of Transportation Science and Engineering,State Key Lab of Intelligent Transportation System","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100756582","display_name":"Peng Chen","orcid":"https://orcid.org/0009-0009-8875-3587"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng Chen","raw_affiliation_strings":["School of Transportation Science and Engineering,State Key Lab of Intelligent Transportation System"],"affiliations":[{"raw_affiliation_string":"School of Transportation Science and Engineering,State Key Lab of Intelligent Transportation System","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026564599","display_name":"Qi Xia","orcid":"https://orcid.org/0000-0003-2245-2588"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qi Xia","raw_affiliation_strings":["School of Transportation Science and Engineering,State Key Lab of Intelligent Transportation System"],"affiliations":[{"raw_affiliation_string":"School of Transportation Science and Engineering,State Key Lab of Intelligent Transportation System","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087885905","display_name":"Han Cai","orcid":"https://orcid.org/0000-0002-7220-039X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han Cai","raw_affiliation_strings":["School of Transportation Science and Engineering,State Key Lab of Intelligent Transportation System"],"affiliations":[{"raw_affiliation_string":"School of Transportation Science and Engineering,State Key Lab of Intelligent Transportation System","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100362456"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3495,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62887547,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12810","display_name":"Real-time simulation and control systems","score":0.958299994468689,"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/T12810","display_name":"Real-time simulation and control systems","score":0.958299994468689,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9409999847412109,"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/T10805","display_name":"Vehicle Dynamics and Control Systems","score":0.9391000270843506,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/mechanism","display_name":"Mechanism (biology)","score":0.6193813681602478},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5774832367897034},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.545259952545166},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4981656074523926},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.49305984377861023},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.42373090982437134},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4163004159927368},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32965636253356934},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16776904463768005},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07727470993995667},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.06293687224388123},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.06194913387298584}],"concepts":[{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.6193813681602478},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5774832367897034},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.545259952545166},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4981656074523926},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.49305984377861023},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.42373090982437134},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4163004159927368},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32965636253356934},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16776904463768005},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07727470993995667},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.06293687224388123},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.06194913387298584},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/indin58382.2024.10774484","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin58382.2024.10774484","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 22nd International Conference on Industrial Informatics (INDIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.6600000262260437,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2614021126","https://openalex.org/W2791137056","https://openalex.org/W2947657598","https://openalex.org/W3085640145","https://openalex.org/W3200157983","https://openalex.org/W4206209631","https://openalex.org/W4294690587","https://openalex.org/W4386041262","https://openalex.org/W4386631251"],"related_works":["https://openalex.org/W2382997850","https://openalex.org/W2390968135","https://openalex.org/W2382213751","https://openalex.org/W2084086966","https://openalex.org/W2351750670","https://openalex.org/W1597848696","https://openalex.org/W2354715126","https://openalex.org/W2388563748","https://openalex.org/W2375179084","https://openalex.org/W2366646518"],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"we":[3,91],"tackle":[4],"the":[5,45,74,81,93,105],"path-tracking":[6,122],"problem":[7],"of":[8,50,124],"a":[9,22,60],"nonlinear":[10],"four-wheel":[11,125],"steering":[12,126],"vehicle":[13],"dynamics":[14],"model":[15,18,23],"subject":[16],"to":[17,38,79],"mismatches":[19],"and":[20,47,88],"propose":[21],"predictive":[24],"control":[25,41,123],"(MPC)":[26],"algorithm":[27],"based":[28],"on":[29],"an":[30,55],"event-triggered":[31,83],"mechanism":[32],"(ET":[33],"-MPC).":[34],"The":[35],"goal":[36],"is":[37],"maintain":[39],"closed-loop":[40],"performance":[42,120],"while":[43],"reducing":[44],"computational":[46],"communication":[48],"burdens":[49],"traditional":[51],"MPC.":[52],"We":[53],"introduce":[54],"ET":[56,107],"-MPC":[57,108],"framework":[58],"utilizing":[59],"model-free":[61],"reinforcement":[62,112],"learning":[63,78,113],"agent":[64,71],"with":[65,73,111],"proximal":[66],"policy":[67],"optimization":[68],"(PPO).":[69],"This":[70],"interacts":[72],"MPC":[75],"system,":[76],"progressively":[77],"determine":[80],"optimal":[82],"mechanism.":[84],"To":[85],"enhance":[86],"exploration":[87],"training":[89],"efficiency,":[90],"incorporate":[92],"Long":[94],"Short-Term":[95],"Memory":[96],"(LSTM)":[97],"technique":[98],"into":[99],"PPO.":[100],"Experimental":[101],"results":[102],"show":[103],"that":[104],"proposed":[106],"framework,":[109],"combined":[110],"for":[114],"reward":[115],"optimization,":[116],"demonstrates":[117],"superior":[118],"overall":[119],"in":[121],"vehicles.":[127]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}