{"id":"https://openalex.org/W2772481138","doi":"https://doi.org/10.1109/iros.2017.8206086","title":"Deriving overtaking strategy from nonlinear model predictive control for a race car","display_name":"Deriving overtaking strategy from nonlinear model predictive control for a race car","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2772481138","doi":"https://doi.org/10.1109/iros.2017.8206086","mag":"2772481138"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2017.8206086","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2017.8206086","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5007151960","display_name":"Alexander Buyval","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116741","display_name":"Innopolis University","ror":"https://ror.org/02b7jh107","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210116741"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Alexander Buyval","raw_affiliation_strings":["Laboratory of Intelligent Robotics System (LIRS), Innopolis University, Innopolis, Russia"],"affiliations":[{"raw_affiliation_string":"Laboratory of Intelligent Robotics System (LIRS), Innopolis University, Innopolis, Russia","institution_ids":["https://openalex.org/I4210116741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007029998","display_name":"Aidar Gabdulin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116741","display_name":"Innopolis University","ror":"https://ror.org/02b7jh107","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210116741"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Aidar Gabdulin","raw_affiliation_strings":["Laboratory of Intelligent Robotics System (LIRS), Innopolis University, Innopolis, Russia"],"affiliations":[{"raw_affiliation_string":"Laboratory of Intelligent Robotics System (LIRS), Innopolis University, Innopolis, Russia","institution_ids":["https://openalex.org/I4210116741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043258717","display_name":"Ruslan Mustafin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116741","display_name":"Innopolis University","ror":"https://ror.org/02b7jh107","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210116741"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Ruslan Mustafin","raw_affiliation_strings":["Laboratory of Intelligent Robotics System (LIRS), Innopolis University, Innopolis, Russia"],"affiliations":[{"raw_affiliation_string":"Laboratory of Intelligent Robotics System (LIRS), Innopolis University, Innopolis, Russia","institution_ids":["https://openalex.org/I4210116741"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029282019","display_name":"Ilya Shimchik","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116741","display_name":"Innopolis University","ror":"https://ror.org/02b7jh107","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210116741"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Ilya Shimchik","raw_affiliation_strings":["Laboratory of Intelligent Robotics System (LIRS), Innopolis University, Innopolis, Russia"],"affiliations":[{"raw_affiliation_string":"Laboratory of Intelligent Robotics System (LIRS), Innopolis University, Innopolis, Russia","institution_ids":["https://openalex.org/I4210116741"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5007151960"],"corresponding_institution_ids":["https://openalex.org/I4210116741"],"apc_list":null,"apc_paid":null,"fwci":1.0058,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.78473585,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2623","last_page":"2628"},"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":0.9995999932289124,"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":0.9995999932289124,"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/T10933","display_name":"Real-Time Systems Scheduling","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10805","display_name":"Vehicle Dynamics and Control Systems","score":0.9908999800682068,"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/overtaking","display_name":"Overtaking","score":0.9594256281852722},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.7755961418151855},{"id":"https://openalex.org/keywords/nonlinear-model","display_name":"Nonlinear model","score":0.6111752986907959},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6038401126861572},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5843941569328308},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.5231122374534607},{"id":"https://openalex.org/keywords/vehicle-dynamics","display_name":"Vehicle dynamics","score":0.5078902840614319},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.48328426480293274},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4732649326324463},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.4365953207015991},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.43442708253860474},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.42063841223716736},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3306233882904053},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16442745923995972},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.10445219278335571},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09233292937278748}],"concepts":[{"id":"https://openalex.org/C2778448659","wikidata":"https://www.wikidata.org/wiki/Q1931051","display_name":"Overtaking","level":2,"score":0.9594256281852722},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.7755961418151855},{"id":"https://openalex.org/C2984755018","wikidata":"https://www.wikidata.org/wiki/Q17118374","display_name":"Nonlinear model","level":3,"score":0.6111752986907959},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6038401126861572},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5843941569328308},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.5231122374534607},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.5078902840614319},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.48328426480293274},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4732649326324463},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.4365953207015991},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.43442708253860474},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.42063841223716736},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3306233882904053},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16442745923995972},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.10445219278335571},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09233292937278748},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros.2017.8206086","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2017.8206086","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1578293866","https://openalex.org/W1878563552","https://openalex.org/W1911575252","https://openalex.org/W1964565648","https://openalex.org/W1977164425","https://openalex.org/W1982752049","https://openalex.org/W1998028785","https://openalex.org/W2018461753","https://openalex.org/W2023136445","https://openalex.org/W2026079951","https://openalex.org/W2027365137","https://openalex.org/W2041911815","https://openalex.org/W2103639171","https://openalex.org/W2115955659","https://openalex.org/W2116336324","https://openalex.org/W2146511219","https://openalex.org/W2288721144","https://openalex.org/W2335306738","https://openalex.org/W2516720609","https://openalex.org/W2727840223","https://openalex.org/W6646009193"],"related_works":["https://openalex.org/W1631623342","https://openalex.org/W1779399219","https://openalex.org/W128654086","https://openalex.org/W648378158","https://openalex.org/W3083517787","https://openalex.org/W2255861468","https://openalex.org/W1839440842","https://openalex.org/W4251946813","https://openalex.org/W2885820669","https://openalex.org/W1981727740"],"abstract_inverted_index":{"Car":[0],"racing":[1,92],"control":[2,52,89],"is":[3],"often":[4],"assumed":[5],"to":[6,54,65],"take":[7],"place":[8],"in":[9,17,90],"isolation,":[10],"although":[11],"the":[12,18,33,50,67,72,80,83],"greatest":[13],"strategic":[14],"challenges":[15],"arise":[16],"presence":[19],"of":[20,41,71,82],"other":[21],"cars.":[22],"Our":[23],"solution":[24],"uses":[25],"a":[26,91],"combined":[27,47],"nonlinear":[28],"system":[29],"model":[30,37,40,48],"which":[31],"includes":[32],"four-wheeled":[34],"vehicle":[35],"dynamics":[36],"and":[38],"point-mass":[39],"its":[42],"opponent":[43],"car.":[44],"This":[45],"proposed":[46],"allows":[49],"optimal":[51],"scheme":[53],"automatically":[55],"find":[56],"an":[57],"overtaking":[58],"strategy.":[59],"The":[60],"FORCES":[61],"code":[62],"generation":[63],"tool":[64],"handle":[66],"consequent":[68],"computational":[69],"complexity":[70],"Nonlinear":[73],"Model":[74],"Predictive":[75],"Controller":[76],"(NMPC).":[77],"We":[78],"demonstrate":[79],"practicality":[81],"suggested":[84],"method":[85],"by":[86],"performing":[87],"real-time":[88],"simulation":[93],"software.":[94]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
