{"id":"https://openalex.org/W2551909671","doi":"https://doi.org/10.1109/allerton.2013.6736564","title":"Nonparametric dynamics estimation for time periodic systems","display_name":"Nonparametric dynamics estimation for time periodic systems","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W2551909671","doi":"https://doi.org/10.1109/allerton.2013.6736564","mag":"2551909671"},"language":"en","primary_location":{"id":"doi:10.1109/allerton.2013.6736564","is_oa":false,"landing_page_url":"https://doi.org/10.1109/allerton.2013.6736564","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 51st Annual Allerton Conference on Communication, Control, and Computing (Allerton)","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/A5062012000","display_name":"Edgar D. Klenske","orcid":"https://orcid.org/0000-0002-1449-8319"},"institutions":[{"id":"https://openalex.org/I4210135521","display_name":"Max Planck Institute for Intelligent Systems","ror":"https://ror.org/04fq9j139","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210135521"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Edgar D. Klenske","raw_affiliation_strings":["Max Planck Institute for Intelligent Systems, T\u00fcbingen, Germany"],"affiliations":[{"raw_affiliation_string":"Max Planck Institute for Intelligent Systems, T\u00fcbingen, Germany","institution_ids":["https://openalex.org/I4210135521"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037513714","display_name":"Melanie N. Zeilinger","orcid":"https://orcid.org/0000-0003-4570-7571"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Melanie N. Zeilinger","raw_affiliation_strings":["Department of Electrical Engineering and Computer Sciences, University of California at Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Sciences, University of California at Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044005697","display_name":"Bernhard Sch\u00f6lkopf","orcid":"https://orcid.org/0000-0002-8177-0925"},"institutions":[{"id":"https://openalex.org/I4210135521","display_name":"Max Planck Institute for Intelligent Systems","ror":"https://ror.org/04fq9j139","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210135521"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bernhard Scholkopf","raw_affiliation_strings":["Max Planck Institute for Intelligent Systems, T\u00fcbingen, Germany"],"affiliations":[{"raw_affiliation_string":"Max Planck Institute for Intelligent Systems, T\u00fcbingen, Germany","institution_ids":["https://openalex.org/I4210135521"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022872779","display_name":"Philipp Hennig","orcid":"https://orcid.org/0000-0001-7293-6092"},"institutions":[{"id":"https://openalex.org/I4210135521","display_name":"Max Planck Institute for Intelligent Systems","ror":"https://ror.org/04fq9j139","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210135521"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Philipp Hennig","raw_affiliation_strings":["Max Planck Institute for Intelligent Systems, T\u00fcbingen, Germany"],"affiliations":[{"raw_affiliation_string":"Max Planck Institute for Intelligent Systems, T\u00fcbingen, Germany","institution_ids":["https://openalex.org/I4210135521"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5062012000"],"corresponding_institution_ids":["https://openalex.org/I4210135521"],"apc_list":null,"apc_paid":null,"fwci":3.4596,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.93259577,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"486","last_page":"493"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9977999925613403,"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":0.9977999925613403,"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/T11236","display_name":"Control Systems and Identification","score":0.9969000220298767,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9934999942779541,"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/covariance-function","display_name":"Covariance function","score":0.5312566161155701},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.524025022983551},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5239135026931763},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5082487463951111},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4862914979457855},{"id":"https://openalex.org/keywords/extrapolation","display_name":"Extrapolation","score":0.47987595200538635},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45342516899108887},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.4437703788280487},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.43957632780075073},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.432358980178833},{"id":"https://openalex.org/keywords/state-space-representation","display_name":"State-space representation","score":0.42254629731178284},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.42174509167671204},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41783949732780457},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.35399961471557617},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3015632629394531},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20700958371162415},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1371420919895172},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.11818864941596985},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09436696767807007}],"concepts":[{"id":"https://openalex.org/C137250428","wikidata":"https://www.wikidata.org/wiki/Q5178897","display_name":"Covariance function","level":3,"score":0.5312566161155701},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.524025022983551},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5239135026931763},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5082487463951111},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4862914979457855},{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.47987595200538635},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45342516899108887},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.4437703788280487},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.43957632780075073},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.432358980178833},{"id":"https://openalex.org/C52918065","wikidata":"https://www.wikidata.org/wiki/Q230945","display_name":"State-space representation","level":2,"score":0.42254629731178284},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.42174509167671204},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41783949732780457},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.35399961471557617},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3015632629394531},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20700958371162415},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1371420919895172},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.11818864941596985},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09436696767807007},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/allerton.2013.6736564","is_oa":false,"landing_page_url":"https://doi.org/10.1109/allerton.2013.6736564","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 51st Annual Allerton Conference on Communication, Control, and Computing (Allerton)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.641.8053","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.641.8053","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.is.tuebingen.mpg.de/fileadmin/user_upload/files/publications/2013/Klenske_allerton2013-web.pdf","raw_type":"text"},{"id":"pmh:oai:escidoc.org:escidoc:1945568","is_oa":false,"landing_page_url":"http://hdl.handle.net/11858/00-001M-0000-0017-AE0D-2","pdf_url":null,"source":{"id":"https://openalex.org/S7407052962","display_name":"Max Planck Digital Library","issn_l":null,"issn":[],"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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1543474109","https://openalex.org/W1555033159","https://openalex.org/W1647376582","https://openalex.org/W1746819321","https://openalex.org/W1971194572","https://openalex.org/W1983717571","https://openalex.org/W2004060143","https://openalex.org/W2006859604","https://openalex.org/W2007692097","https://openalex.org/W2039273302","https://openalex.org/W2073787051","https://openalex.org/W2115670929","https://openalex.org/W2126417278","https://openalex.org/W2132397872","https://openalex.org/W2334018742","https://openalex.org/W2905148377","https://openalex.org/W2913243980","https://openalex.org/W4211049957","https://openalex.org/W4235461144","https://openalex.org/W4285719527","https://openalex.org/W6600569696","https://openalex.org/W6652210320","https://openalex.org/W6679802252","https://openalex.org/W6758804334"],"related_works":["https://openalex.org/W3096432517","https://openalex.org/W2579634771","https://openalex.org/W1560664277","https://openalex.org/W2963885072","https://openalex.org/W2375962503","https://openalex.org/W3013517953","https://openalex.org/W1765957141","https://openalex.org/W2756401664","https://openalex.org/W4299605224","https://openalex.org/W2338837772"],"abstract_inverted_index":{"Screws":[0],"and":[1,34],"gears":[2],"are":[3,42,96,126],"a":[4,61,68,81,105,142,153],"source":[5],"of":[6,135,155],"periodically":[7,56],"recurring":[8,57],"nonlinear":[9,58],"effects":[10],"in":[11,99,158],"mechanical":[12],"dynamical":[13],"systems.":[14],"Unless":[15],"the":[16,24,75,110,132,136],"state":[17,122],"sampling":[18,123],"frequency":[19],"is":[20,85,119],"much":[21],"higher":[22],"than":[23],"periodic":[25,40,70],"effect,":[26],"model-free":[27],"controllers":[28],"cannot":[29],"always":[30],"compensate":[31],"these":[32],"effects,":[33],"good":[35],"physical":[36,143],"models":[37],"for":[38,80,109,121],"such":[39],"dynamics":[41],"challenging":[43],"to":[44,73,103],"construct.":[45],"We":[46,114],"investigate":[47],"nonparametric":[48],"system":[49],"identification":[50],"with":[51,88],"an":[52,145],"explicit":[53],"focus":[54],"on":[55,141],"effects.":[59],"Within":[60],"Gaussian":[62],"process":[63],"regression":[64],"framework,":[65],"we":[66],"design":[67],"locally":[69],"covariance":[71,92],"function":[72],"shape":[74],"hypothesis":[76],"space,":[77],"which":[78],"allows":[79],"structured":[82],"extrapolation":[83],"that":[84,116,125],"not":[86],"possible":[87],"more":[89],"widely":[90],"used":[91,98],"functions.":[93],"These":[94],"predictions":[95],"then":[97],"model":[100],"predictive":[101],"control":[102,106],"construct":[104],"signal":[107],"correcting":[108],"predicted":[111],"external":[112,137],"effect.":[113,138],"show":[115],"this":[117,150],"approach":[118,151],"beneficial":[120],"times":[124],"smaller":[127],"than,":[128],"but":[129],"comparable":[130],"to,":[131],"period":[133],"length":[134],"In":[139],"experiments":[140],"system,":[144],"electrically":[146],"actuated":[147],"telescope":[148],"mount,":[149],"achieves":[152],"reduction":[154],"about":[156],"20%":[157],"root":[159],"mean":[160],"square":[161],"error.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}