{"id":"https://openalex.org/W2947916784","doi":"https://doi.org/10.1109/icmech.2019.8722853","title":"Data-Based Design of Inverse Dynamics Using Gaussian Process","display_name":"Data-Based Design of Inverse Dynamics Using Gaussian Process","publication_year":2019,"publication_date":"2019-03-01","ids":{"openalex":"https://openalex.org/W2947916784","doi":"https://doi.org/10.1109/icmech.2019.8722853","mag":"2947916784"},"language":"en","primary_location":{"id":"doi:10.1109/icmech.2019.8722853","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmech.2019.8722853","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Mechatronics (ICM)","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/A5100626273","display_name":"Junghoon Lee","orcid":"https://orcid.org/0000-0002-3004-8625"},"institutions":[{"id":"https://openalex.org/I193352282","display_name":"Daegu Gyeongbuk Institute of Science and Technology","ror":"https://ror.org/03frjya69","country_code":"KR","type":"education","lineage":["https://openalex.org/I193352282"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Junghoon Lee","raw_affiliation_strings":["Department of Robotics Engineering, DGIST, Daegu, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Robotics Engineering, DGIST, Daegu, South Korea","institution_ids":["https://openalex.org/I193352282"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007243736","display_name":"Sehoon Oh","orcid":"https://orcid.org/0000-0003-0838-163X"},"institutions":[{"id":"https://openalex.org/I193352282","display_name":"Daegu Gyeongbuk Institute of Science and Technology","ror":"https://ror.org/03frjya69","country_code":"KR","type":"education","lineage":["https://openalex.org/I193352282"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sehoon Oh","raw_affiliation_strings":["Department of Robotics Engineering, DGIST, Daegu, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Robotics Engineering, DGIST, Daegu, South Korea","institution_ids":["https://openalex.org/I193352282"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100626273"],"corresponding_institution_ids":["https://openalex.org/I193352282"],"apc_list":null,"apc_paid":null,"fwci":0.42,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70139578,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"449","last_page":"454"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9976999759674072,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9976999759674072,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9883999824523926,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9879999756813049,"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/inverse-dynamics","display_name":"Inverse dynamics","score":0.8455063104629517},{"id":"https://openalex.org/keywords/inverse-gaussian-distribution","display_name":"Inverse Gaussian distribution","score":0.8000523447990417},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.7484203577041626},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.704307496547699},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6848894357681274},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6395338177680969},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.5514930486679077},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5145625472068787},{"id":"https://openalex.org/keywords/design-process","display_name":"Design process","score":0.46664929389953613},{"id":"https://openalex.org/keywords/engineering-design-process","display_name":"Engineering design process","score":0.43610578775405884},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.43205568194389343},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35414355993270874},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34830498695373535},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33915722370147705},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24757274985313416},{"id":"https://openalex.org/keywords/work-in-process","display_name":"Work in process","score":0.22416025400161743},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1873537302017212}],"concepts":[{"id":"https://openalex.org/C187523126","wikidata":"https://www.wikidata.org/wiki/Q17098330","display_name":"Inverse dynamics","level":3,"score":0.8455063104629517},{"id":"https://openalex.org/C132878287","wikidata":"https://www.wikidata.org/wiki/Q1671727","display_name":"Inverse Gaussian distribution","level":3,"score":0.8000523447990417},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.7484203577041626},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.704307496547699},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6848894357681274},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6395338177680969},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.5514930486679077},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5145625472068787},{"id":"https://openalex.org/C48262172","wikidata":"https://www.wikidata.org/wiki/Q16908765","display_name":"Design process","level":3,"score":0.46664929389953613},{"id":"https://openalex.org/C34972735","wikidata":"https://www.wikidata.org/wiki/Q2920267","display_name":"Engineering design process","level":2,"score":0.43610578775405884},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.43205568194389343},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35414355993270874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34830498695373535},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33915722370147705},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24757274985313416},{"id":"https://openalex.org/C174998907","wikidata":"https://www.wikidata.org/wiki/Q357662","display_name":"Work in process","level":2,"score":0.22416025400161743},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1873537302017212},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","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},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmech.2019.8722853","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmech.2019.8722853","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Mechatronics (ICM)","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":14,"referenced_works":["https://openalex.org/W1483845297","https://openalex.org/W1502922572","https://openalex.org/W1606738297","https://openalex.org/W1966948790","https://openalex.org/W2117530025","https://openalex.org/W2117618219","https://openalex.org/W2126877537","https://openalex.org/W2147374670","https://openalex.org/W2153244676","https://openalex.org/W2422971034","https://openalex.org/W2523980053","https://openalex.org/W2733312032","https://openalex.org/W2736887377","https://openalex.org/W2908955292"],"related_works":["https://openalex.org/W2148601120","https://openalex.org/W2101430679","https://openalex.org/W3085686413","https://openalex.org/W336145253","https://openalex.org/W2029812558","https://openalex.org/W1980520321","https://openalex.org/W2604835868","https://openalex.org/W2412175394","https://openalex.org/W1574311936","https://openalex.org/W2414678111"],"abstract_inverted_index":{"Model-based":[0],"controller":[1],"design":[2,31,44],"has":[3],"been":[4,14],"widely":[5],"utilized":[6],"for":[7,52],"various":[8],"purposes,":[9],"and":[10,46,69],"many":[11],"methodologies":[12],"have":[13],"proposed":[15,39,73],"to":[16,30],"identify":[17],"accurate":[18],"models":[19],"of":[20,48,71],"the":[21,67,72],"target":[22],"plants.":[23],"In":[24],"this":[25,61],"paper,":[26],"a":[27],"different":[28],"methodology":[29],"dynamics":[32,36,54,78],"model,":[33],"particularly":[34],"inverse":[35,53,77],"model":[37],"is":[38],"using":[40],"Gaussian":[41,56,74],"process.":[42],"The":[43,63],"process":[45,57,75],"selection":[47],"training":[49],"input":[50],"pattern":[51],"learning":[55],"are":[58],"analyzed":[59],"in":[60],"paper.":[62],"simulation":[64],"results":[65],"reveal":[66],"potential":[68],"limitation":[70],"based":[76],"learning.":[79]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}