{"id":"https://openalex.org/W1522169633","doi":"https://doi.org/10.1109/cybconf.2015.7175928","title":"Model-based controller for ship track-keeping using neural network","display_name":"Model-based controller for ship track-keeping using neural network","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1522169633","doi":"https://doi.org/10.1109/cybconf.2015.7175928","mag":"1522169633"},"language":"en","primary_location":{"id":"doi:10.1109/cybconf.2015.7175928","is_oa":true,"landing_page_url":"https://doi.org/10.1109/cybconf.2015.7175928","pdf_url":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7175928","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 2nd International Conference on Cybernetics (CYBCONF)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7175928","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029146656","display_name":"K. Kula","orcid":"https://orcid.org/0000-0001-9035-5179"},"institutions":[{"id":"https://openalex.org/I4210125238","display_name":"Gdynia Maritime University","ror":"https://ror.org/02vscf791","country_code":"PL","type":"education","lineage":["https://openalex.org/I4210125238"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Krzysztof S. Kula","raw_affiliation_strings":["Ship Automation Department, Gdynia Maritime University, Gdynia, Poland","Gdynia Maritime University, Ship Automation Department, Poland"],"affiliations":[{"raw_affiliation_string":"Ship Automation Department, Gdynia Maritime University, Gdynia, Poland","institution_ids":["https://openalex.org/I4210125238"]},{"raw_affiliation_string":"Gdynia Maritime University, Ship Automation Department, Poland","institution_ids":["https://openalex.org/I4210125238"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5029146656"],"corresponding_institution_ids":["https://openalex.org/I4210125238"],"apc_list":null,"apc_paid":null,"fwci":2.042,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.87337855,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"178","last_page":"183"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10040","display_name":"Adaptive Control of Nonlinear Systems","score":0.995199978351593,"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":0.995199978351593,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9912999868392944,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9771999716758728,"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/track","display_name":"Track (disk drive)","score":0.7367312908172607},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7262554168701172},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6649596691131592},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.5173846483230591},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.40454167127609253},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3774586617946625},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.3308272659778595},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15471267700195312}],"concepts":[{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.7367312908172607},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7262554168701172},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6649596691131592},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.5173846483230591},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.40454167127609253},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3774586617946625},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3308272659778595},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15471267700195312},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cybconf.2015.7175928","is_oa":true,"landing_page_url":"https://doi.org/10.1109/cybconf.2015.7175928","pdf_url":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7175928","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 2nd International Conference on Cybernetics (CYBCONF)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1109/cybconf.2015.7175928","is_oa":true,"landing_page_url":"https://doi.org/10.1109/cybconf.2015.7175928","pdf_url":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7175928","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 2nd International Conference on Cybernetics (CYBCONF)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1522169633.pdf","grobid_xml":"https://content.openalex.org/works/W1522169633.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1516289514","https://openalex.org/W1585740728","https://openalex.org/W1604822211","https://openalex.org/W1779707633","https://openalex.org/W1879712613","https://openalex.org/W2002337598","https://openalex.org/W2010878478","https://openalex.org/W2033729783","https://openalex.org/W2034529783","https://openalex.org/W2037302710","https://openalex.org/W2039281082","https://openalex.org/W2090553446","https://openalex.org/W2096965519","https://openalex.org/W2116445409","https://openalex.org/W2121447854","https://openalex.org/W2127356315","https://openalex.org/W2396949056","https://openalex.org/W2502799293","https://openalex.org/W2940460024","https://openalex.org/W6636332303","https://openalex.org/W6638068850","https://openalex.org/W6672898090","https://openalex.org/W6678698318"],"related_works":["https://openalex.org/W2789518417","https://openalex.org/W2566545183","https://openalex.org/W2499449816","https://openalex.org/W2059085722","https://openalex.org/W4213217485","https://openalex.org/W4210856988","https://openalex.org/W2946721565","https://openalex.org/W2801976440","https://openalex.org/W4229560150","https://openalex.org/W2000675896"],"abstract_inverted_index":{"In":[0],"the":[1,3,19,22,29,45,48,55,58,62,67,70,83,87,90],"paper":[2,84],"Internal":[4],"Model":[5],"Control":[6],"approach":[7],"for":[8],"ship":[9,52],"autopilot":[10],"system":[11],"is":[12,75],"presented.":[13],"The":[14,25,51],"proposed":[15,91],"course":[16],"controller":[17,68],"employs":[18],"structure":[20,71],"of":[21,28,47,57,89],"cascade":[23],"system.":[24],"internal":[26],"model":[27,53],"plant":[30],"and":[31,61],"its":[32],"inverse":[33],"are":[34,80],"estimated":[35],"by":[36],"neural":[37],"network":[38],"what":[39],"made":[40],"it":[41],"possible":[42],"to":[43,66,85],"reduce":[44],"uncertainty":[46],"control":[49],"process.":[50],"contains":[54],"saturation":[56],"rudder":[59,63],"angle":[60],"rate.":[64],"Therefore":[65],"design":[69],"with":[72],"feedback":[73],"connection":[74],"used.":[76],"Computer":[77],"simulation":[78],"results":[79],"included":[81],"in":[82],"demonstrate":[86],"effectiveness":[88],"method.":[92]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
