{"id":"https://openalex.org/W2128729614","doi":"https://doi.org/10.1109/cdc.2010.5717606","title":"On the use of parametric and non-parametric noise-models in time- and frequency domain system identification","display_name":"On the use of parametric and non-parametric noise-models in time- and frequency domain system identification","publication_year":2010,"publication_date":"2010-12-01","ids":{"openalex":"https://openalex.org/W2128729614","doi":"https://doi.org/10.1109/cdc.2010.5717606","mag":"2128729614"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2010.5717606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2010.5717606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"49th IEEE Conference on Decision and Control (CDC)","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/A5076996530","display_name":"J. Schoukens","orcid":"https://orcid.org/0000-0003-0492-6137"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"J. Schoukens","raw_affiliation_strings":["Department ELEC, Vrije Universiteit Brussel, Belgium","Vrije Universiteit Brussel, Department ELEC, Belgium#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department ELEC, Vrije Universiteit Brussel, Belgium","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"Vrije Universiteit Brussel, Department ELEC, Belgium#TAB#","institution_ids":["https://openalex.org/I13469542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074429391","display_name":"Yves Rolain","orcid":"https://orcid.org/0000-0003-2738-7914"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Y. Rolain","raw_affiliation_strings":["Department ELEC, Vrije Universiteit Brussel, Belgium","Vrije Universiteit Brussel, Department ELEC, Belgium#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department ELEC, Vrije Universiteit Brussel, Belgium","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"Vrije Universiteit Brussel, Department ELEC, Belgium#TAB#","institution_ids":["https://openalex.org/I13469542"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034235885","display_name":"Rik Pintelon","orcid":"https://orcid.org/0000-0003-2389-2075"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"R. Pintelon","raw_affiliation_strings":["Department ELEC, Vrije Universiteit Brussel, Belgium","Vrije Universiteit Brussel, Department ELEC, Belgium#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department ELEC, Vrije Universiteit Brussel, Belgium","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"Vrije Universiteit Brussel, Department ELEC, Belgium#TAB#","institution_ids":["https://openalex.org/I13469542"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I13469542"],"apc_list":null,"apc_paid":null,"fwci":2.4418,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.89437247,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"316","last_page":"321"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9998000264167786,"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/T11236","display_name":"Control Systems and Identification","score":0.9998000264167786,"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/T10320","display_name":"Neural Networks and Applications","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/T11447","display_name":"Blind Source Separation Techniques","score":0.9962000250816345,"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/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.8428282141685486},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.7250868082046509},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6576292514801025},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.647067666053772},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.6441835761070251},{"id":"https://openalex.org/keywords/parametric-model","display_name":"Parametric model","score":0.5742515921592712},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5406261682510376},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.5374221801757812},{"id":"https://openalex.org/keywords/equivalence","display_name":"Equivalence (formal languages)","score":0.4818750321865082},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.4148768484592438},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34381169080734253},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3243948817253113},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.3196153938770294},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2462383210659027},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2088128626346588}],"concepts":[{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.8428282141685486},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.7250868082046509},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6576292514801025},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.647067666053772},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.6441835761070251},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.5742515921592712},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5406261682510376},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.5374221801757812},{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.4818750321865082},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.4148768484592438},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34381169080734253},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3243948817253113},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3196153938770294},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2462383210659027},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2088128626346588},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cdc.2010.5717606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2010.5717606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"49th IEEE Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},{"id":"pmh:oai:vubissmart:VUBISSMART:2000:66742","is_oa":false,"landing_page_url":"https://biblio.vub.ac.be/vubir/on-the-use-of-parametric-and-nonparametric-noisemodels-in-time-and-frequency-domain-system-identification(d3c2789f-5b01-45d2-a1af-8cf4e9612dbf).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306402573","display_name":"VUBIR (Vrije Universiteit Brussel)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I13469542","host_organization_name":"Vrije Universiteit Brussel","host_organization_lineage":["https://openalex.org/I13469542"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W80425030","https://openalex.org/W178056938","https://openalex.org/W296863324","https://openalex.org/W1515361063","https://openalex.org/W1518196255","https://openalex.org/W1530900890","https://openalex.org/W1991040645","https://openalex.org/W2001908998","https://openalex.org/W2027694259","https://openalex.org/W2038169347","https://openalex.org/W2046103889","https://openalex.org/W2063853590","https://openalex.org/W2084474977","https://openalex.org/W2086760764","https://openalex.org/W2108327764","https://openalex.org/W2161140850","https://openalex.org/W2162517108","https://openalex.org/W2165324123","https://openalex.org/W2289455364","https://openalex.org/W2613912938","https://openalex.org/W2913465992","https://openalex.org/W4211118645","https://openalex.org/W4249762338"],"related_works":["https://openalex.org/W2040597492","https://openalex.org/W2142446859","https://openalex.org/W2032217645","https://openalex.org/W3037586737","https://openalex.org/W1607813012","https://openalex.org/W2202373027","https://openalex.org/W2989067273","https://openalex.org/W2118217148","https://openalex.org/W2059049267","https://openalex.org/W2345773182"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3,35,53],"start":[4],"from":[5],"the":[6,26,30,37,47,55,67,75,82,91],"observation":[7],"that":[8,81],"there":[9],"is":[10],"an":[11],"exact":[12],"equivalence":[13],"between":[14],"time-":[15,48],"and":[16,43,49,62,70,106],"frequency":[17,50],"domain":[18],"identification":[19,38,68,92],"for":[20,103],"finite":[21],"length":[22],"data":[23],"records":[24],"under":[25],"standard":[27],"conditions":[28],"of":[29,39,58,84,93],"prediction":[31],"error":[32],"framework.":[33],"Next":[34],"study":[36],"a":[40,85,94],"nonparametric":[41,63,86],"plant":[42,60,96],"noise":[44,64,87],"model,":[45],"in":[46,66],"domain.":[51],"Finally":[52],"discuss":[54],"mixed":[56],"use":[57],"parametric":[59,95],"models":[61,65],"process,":[69],"comment":[71],"its":[72],"impact":[73],"on":[74],"user":[76],"choices.":[77],"It":[78],"turns":[79],"out":[80],"availability":[83],"model":[88],"simplifies":[89],"significantly":[90],"model.":[97],"All":[98],"these":[99],"results":[100],"are":[101],"valid":[102],"random,":[104],"arbitrary,":[105],"periodic":[107],"excitations.":[108]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2014,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}