{"id":"https://openalex.org/W4308080037","doi":"https://doi.org/10.1109/itsc55140.2022.9922006","title":"Data-Driven Probabilistic Model of Magneto-Rheological Damper for Intelligent Vehicles using Gaussian Processes","display_name":"Data-Driven Probabilistic Model of Magneto-Rheological Damper for Intelligent Vehicles using Gaussian Processes","publication_year":2022,"publication_date":"2022-10-08","ids":{"openalex":"https://openalex.org/W4308080037","doi":"https://doi.org/10.1109/itsc55140.2022.9922006"},"language":"en","primary_location":{"id":"doi:10.1109/itsc55140.2022.9922006","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc55140.2022.9922006","pdf_url":null,"source":{"id":"https://openalex.org/S4363607737","display_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5115695295","display_name":"Jincheng Wang","orcid":"https://orcid.org/0009-0007-2826-6555"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jincheng Wang","raw_affiliation_strings":["Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences,China","College of Engineering, Southern University of Science and Technology, China","Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences,China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"raw_affiliation_string":"College of Engineering, Southern University of Science and Technology, China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106480328","display_name":"Kun Xu","orcid":"https://orcid.org/0000-0003-1112-209X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210104064","display_name":"Shenzhen Academy of Robotics","ror":"https://ror.org/01h027j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210104064"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Xu","raw_affiliation_strings":["Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences,China","SIAT Branch, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China","Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences,China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"raw_affiliation_string":"SIAT Branch, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China","institution_ids":["https://openalex.org/I4210104064"]},{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051204193","display_name":"Cuiping Shao","orcid":"https://orcid.org/0000-0002-2219-2328"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cuiping Shao","raw_affiliation_strings":["Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences,China","Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences,China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034059546","display_name":"Lei Peng","orcid":"https://orcid.org/0000-0002-0124-140X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Peng","raw_affiliation_strings":["Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences,China","Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences,China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011048472","display_name":"Yunduan Cui","orcid":"https://orcid.org/0000-0001-5539-4260"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210104064","display_name":"Shenzhen Academy of Robotics","ror":"https://ror.org/01h027j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210104064"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunduan Cui","raw_affiliation_strings":["Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences,China","SIAT Branch, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China","Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences,China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"raw_affiliation_string":"SIAT Branch, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China","institution_ids":["https://openalex.org/I4210104064"]},{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12413287,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1094","last_page":"1099"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9761999845504761,"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":0.9761999845504761,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9157999753952026,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/computer-science","display_name":"Computer science","score":0.7229294776916504},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6536740064620972},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5656933784484863},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5479401350021362},{"id":"https://openalex.org/keywords/damper","display_name":"Damper","score":0.487942636013031},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.469525009393692},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.46856266260147095},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.466670423746109},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.43366360664367676},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4170454144477844},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39589232206344604},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.23690789937973022},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.166645348072052},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09943386912345886}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7229294776916504},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6536740064620972},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5656933784484863},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5479401350021362},{"id":"https://openalex.org/C140096630","wikidata":"https://www.wikidata.org/wiki/Q3423628","display_name":"Damper","level":2,"score":0.487942636013031},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.469525009393692},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.46856266260147095},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.466670423746109},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.43366360664367676},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4170454144477844},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39589232206344604},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.23690789937973022},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.166645348072052},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09943386912345886},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc55140.2022.9922006","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc55140.2022.9922006","pdf_url":null,"source":{"id":"https://openalex.org/S4363607737","display_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.4000000059604645,"id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G8585067393","display_name":null,"funder_award_id":"2020YFB2104300","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8808013001","display_name":null,"funder_award_id":"62103403,62004212","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2744870258","https://openalex.org/W2363021795","https://openalex.org/W2417714018","https://openalex.org/W2589078217","https://openalex.org/W4317391030","https://openalex.org/W2333027882","https://openalex.org/W2029713280","https://openalex.org/W2017936727","https://openalex.org/W1964286703","https://openalex.org/W2169866437"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,74],"focus":[4],"on":[5],"Magneto-rheological":[6],"damper":[7],"(MRD)":[8],"which":[9],"is":[10],"essential":[11],"to":[12,19,35,64,78],"intelligent":[13,161],"vehicle":[14],"suspension":[15],"systems.":[16],"We":[17],"attempt":[18],"build":[20],"a":[21,30,70,84,99,108,131],"data-driven":[22],"model":[23,79,113,136],"of":[24,39,94,151,157],"MRD":[25,100,159],"with":[26,54],"complex":[27],"dynamics":[28],"in":[29,33,48,83,103,123,160],"probabilistic":[31],"view":[32],"order":[34],"address":[36],"the":[37,43,49,55,65,80,95,112,135,148],"issues":[38],"sample":[40],"efficiency":[41],"and":[42,68,92,107,126,138],"robustness":[44],"against":[45],"environmental":[46],"disturbances":[47],"current":[50],"non-parametric":[51],"approaches.":[52],"Compared":[53],"conventional":[56],"approaches":[57],"like":[58],"neural":[59],"networks":[60],"that":[61],"are":[62],"sensitive":[63],"noisy":[66,109],"data":[67],"require":[69],"massively":[71],"training":[72],"samples,":[73],"employ":[75],"Gaussian":[76],"processes":[77],"target":[81],"system":[82],"full":[85],"Bayesian":[86],"way":[87],"while":[88],"considering":[89],"both":[90],"mean":[91],"variance":[93],"prediction.":[96],"Evaluated":[97],"by":[98],"simulation":[101],"platform":[102],"different":[104,142],"working":[105],"conditions":[106],"external":[110],"environment,":[111],"learned":[114],"via":[115],"GP":[116,152],"clearly":[117],"demonstrated":[118],"not":[119],"only":[120],"good":[121,132],"performances":[122],"prediction":[124],"accuracy":[125],"uncertainties":[127],"representation,":[128],"but":[129],"also":[130],"balance":[133],"between":[134],"quality":[137],"computational":[139],"complexity":[140],"under":[141],"sparse":[143],"scales.":[144],"These":[145],"results":[146],"indicate":[147],"great":[149],"potential":[150],"as":[153],"an":[154],"emerging":[155],"direction":[156],"modeling":[158],"vehicles.":[162]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
