乐胖代购免代理版

{"id":"https://openalex.org/W2743023704","doi":"https://doi.org/10.1109/urai.2017.7992760","title":"Path following control of nonlinear bicycle model using online learning","display_name":"Path following control of nonlinear bicycle model using online learning","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2743023704","doi":"https://doi.org/10.1109/urai.2017.7992760","mag":"2743023704"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/urai.2017.7992760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5101677435","display_name":"Seungjoon Lee","orcid":"https://orcid.org/0000-0002-1714-7418"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seungjoon Lee","raw_affiliation_strings":["Department of Mechanical and Aerospace Engineering, Seoul National University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100329542","display_name":"Taewan Kim","orcid":"https://orcid.org/0000-0003-3319-7797"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Taewan Kim","raw_affiliation_strings":["Department of Mechanical and Aerospace Engineering, Seoul National University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059419121","display_name":"H. Jin Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"H. Jin Kim","raw_affiliation_strings":["Department of Mechanical and Aerospace Engineering, Seoul National University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.076,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":1,"citation_normalized_percentile":{"value":0.203352,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":63,"max":71},"biblio":{"volume":null,"issue":null,"first_page":"393","last_page":"396"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9997,"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"}},"topics":[{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9997,"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/T12794","display_name":"Adaptive Dynamic Programming Control","score":0.9882,"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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.988,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness","score":0.7010747},{"id":"https://openalex.org/keywords/echo-state-network","display_name":"Echo state network","score":0.4625425}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7503954},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7010747},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.56634784},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5483568},{"id":"https://openalex.org/C172025690","wikidata":"https://www.wikidata.org/wiki/Q5332763","display_name":"Echo state network","level":4,"score":0.4625425},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45475686},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4497367},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43240532},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3601187},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3583864},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.22615749},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.20547828},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/urai.2017.7992760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":10,"referenced_works":["https://openalex.org/W1997891847","https://openalex.org/W2024689049","https://openalex.org/W2033030672","https://openalex.org/W2086194894","https://openalex.org/W2138484437","https://openalex.org/W2139011379","https://openalex.org/W2168915301","https://openalex.org/W2294916050","https://openalex.org/W2516734862","https://openalex.org/W2580632525"],"related_works":["https://openalex.org/W57315087","https://openalex.org/W4386848428","https://openalex.org/W4205591045","https://openalex.org/W3216623288","https://openalex.org/W3090936158","https://openalex.org/W3048028252","https://openalex.org/W2770593030","https://openalex.org/W2600490782","https://openalex.org/W2511963278","https://openalex.org/W2351280436"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"online":[5,43],"learning":[6,44,59],"control":[7,35,45,80],"of":[8,25,41,69],"a":[9,52],"nonlinear":[10],"bicycle":[11],"model":[12,68],"based":[13],"on":[14],"Echo":[15],"State":[16],"Network":[17],"(ESN).":[18],"We":[19],"update":[20],"only":[21],"the":[22,26,34,42,66,70,84,93],"output":[23],"weights":[24],"network":[27],"to":[28,82,91],"reduce":[29],"calculation":[30],"load":[31],"so":[32],"that":[33,47],"algorithm":[36,64],"works":[37],"online.":[38],"The":[39,63,87,99],"advantage":[40],"is":[46,90],"it":[48,57,78],"does":[49],"not":[50],"need":[51],"complex":[53],"modeling":[54,97],"process.":[55,98],"Also,":[56],"continues":[58],"which":[60],"improves":[61],"robustness.":[62],"learns":[65],"inverse":[67],"unknown":[71],"plant":[72],"with":[73],"trial":[74],"and":[75],"error.":[76],"And":[77],"creates":[79],"inputs":[81],"follow":[83],"desired":[85],"path.":[86],"overall":[88],"objective":[89],"track":[92],"path":[94],"without":[95],"any":[96],"simulation":[100],"results":[101],"are":[102],"presented.":[103]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2743023704","counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2024-12-12T13:43:43.320442","created_date":"2017-08-17"}