{"id":"https://openalex.org/W4400976628","doi":"https://doi.org/10.1109/icca62789.2024.10591898","title":"A Model Predictive Control Approach for USV Autonomous Cruising via Disturbance Learning","display_name":"A Model Predictive Control Approach for USV Autonomous Cruising via Disturbance Learning","publication_year":2024,"publication_date":"2024-06-18","ids":{"openalex":"https://openalex.org/W4400976628","doi":"https://doi.org/10.1109/icca62789.2024.10591898"},"language":"en","primary_location":{"id":"doi:10.1109/icca62789.2024.10591898","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca62789.2024.10591898","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 18th International Conference on Control & Automation (ICCA)","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/A5016519449","display_name":"Maotong Cheng","orcid":"https://orcid.org/0009-0009-3010-5966"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Maotong Cheng","raw_affiliation_strings":["Zhejiang University,Control Science and Engineering,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,Control Science and Engineering,Hangzhou,China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085669896","display_name":"Jinke Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinke Yao","raw_affiliation_strings":["Zhejiang University,Control Science and Engineering,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,Control Science and Engineering,Hangzhou,China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041199618","display_name":"Qinyuan Ren","orcid":"https://orcid.org/0000-0001-9487-2675"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinyuan Ren","raw_affiliation_strings":["Zhejiang University,Control Science and Engineering,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,Control Science and Engineering,Hangzhou,China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5016519449"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":1.0863,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73887285,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"988","last_page":"993"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12126","display_name":"Maritime Transport Emissions and Efficiency","score":0.9797999858856201,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12126","display_name":"Maritime Transport Emissions and Efficiency","score":0.9797999858856201,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11622","display_name":"Maritime Navigation and Safety","score":0.9714000225067139,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/disturbance","display_name":"Disturbance (geology)","score":0.723268449306488},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.689113974571228},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6564468741416931},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.48680707812309265},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.46150878071784973},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.394269734621048},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.37504440546035767},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20692738890647888},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.08380401134490967}],"concepts":[{"id":"https://openalex.org/C2777601987","wikidata":"https://www.wikidata.org/wiki/Q5283581","display_name":"Disturbance (geology)","level":2,"score":0.723268449306488},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.689113974571228},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6564468741416931},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.48680707812309265},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.46150878071784973},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.394269734621048},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.37504440546035767},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20692738890647888},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08380401134490967},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icca62789.2024.10591898","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca62789.2024.10591898","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 18th International Conference on Control & Automation (ICCA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W112826398","https://openalex.org/W2061611589","https://openalex.org/W2123871098","https://openalex.org/W2167340365","https://openalex.org/W2217407546","https://openalex.org/W2345644119","https://openalex.org/W2842089854","https://openalex.org/W2935207045","https://openalex.org/W2992833799","https://openalex.org/W3001711064","https://openalex.org/W3006129553","https://openalex.org/W3080590579","https://openalex.org/W3087411932","https://openalex.org/W3196373197","https://openalex.org/W4295312788","https://openalex.org/W4385834602","https://openalex.org/W6756486208","https://openalex.org/W6766978945"],"related_works":["https://openalex.org/W2038604956","https://openalex.org/W2296560746","https://openalex.org/W2338222801","https://openalex.org/W2347583731","https://openalex.org/W2106602008","https://openalex.org/W2067832159","https://openalex.org/W2153353177","https://openalex.org/W3156121563","https://openalex.org/W2355389557","https://openalex.org/W2556120871"],"abstract_inverted_index":{"Unmanned":[0],"surface":[1],"vehicles":[2],"(USVs)":[3],"are":[4,35],"widely":[5],"applied":[6],"in":[7,51,102],"ocean":[8,33],"exploration":[9],"and":[10,26,40,69,93],"environmental":[11],"protection.":[12],"To":[13],"ensure":[14],"efficient":[15],"execution":[16],"of":[17,22],"tasks,":[18],"the":[19,29,111],"motion":[20],"control":[21,47,60],"USV":[23,64],"is":[24,76,100,114],"essential":[25],"critical.":[27],"However,":[28],"hydrodynamics":[30,91],"disturbances":[31,68],"from":[32],"environment":[34],"commonly":[36],"highly":[37],"nonlinear,":[38],"time-variant":[39],"impractical":[41],"to":[42,67,105],"be":[43],"modelled,":[44],"which":[45,87],"renders":[46],"extremely":[48],"challenging.":[49],"Therefore,":[50],"this":[52],"paper":[53],"we":[54],"propose":[55],"a":[56,79],"learning-based":[57],"model":[58,75,95],"predictive":[59],"(MPC)":[61],"approach":[62,113],"for":[63],"course-keeping":[65],"subject":[66],"uncertainties.":[70],"A":[71],"relatively":[72],"simplified":[73],"dynamics":[74],"augmented":[77],"by":[78],"long":[80],"short":[81],"term":[82],"memory":[83],"(LSTM)":[84],"residual":[85],"model,":[86],"can":[88],"capture":[89],"complicated":[90],"effect":[92],"eliminate":[94],"mismatch.":[96],"The":[97],"resulting":[98],"formulation":[99],"incorporated":[101],"MPC":[103],"framework":[104],"achieve":[106],"optimal":[107],"real-time":[108],"control.":[109],"Further,":[110],"proposed":[112],"verified":[115],"through":[116],"simulation":[117],"experiments.":[118]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}