{"id":"https://openalex.org/W3012532428","doi":"https://doi.org/10.1109/cdc40024.2019.9028895","title":"Extended Kalman Filtering with Low-Rank Tensor Networks for MIMO Volterra System Identification","display_name":"Extended Kalman Filtering with Low-Rank Tensor Networks for MIMO Volterra System Identification","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3012532428","doi":"https://doi.org/10.1109/cdc40024.2019.9028895","mag":"3012532428"},"language":"en","primary_location":{"id":"doi:10.1109/cdc40024.2019.9028895","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc40024.2019.9028895","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 58th 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/A5069278165","display_name":"Kim Batselier","orcid":"https://orcid.org/0000-0001-7381-2630"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Kim Batselier","raw_affiliation_strings":["Delft Center for Systems and Control, Delft University of Technology, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delft Center for Systems and Control, Delft University of Technology, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030063621","display_name":"Ching-Yun Ko","orcid":"https://orcid.org/0000-0002-8966-8570"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ching-Yun Ko","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072120057","display_name":"Ngai Wong","orcid":"https://orcid.org/0000-0002-3026-0108"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ngai Wong","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3889,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.55479452,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"2019","issue":null,"first_page":"7148","last_page":"7153"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9639000296592712,"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/tensor","display_name":"Tensor (intrinsic definition)","score":0.7662309408187866},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.7479981184005737},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.6351547837257385},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6105937957763672},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5838891267776489},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.47719869017601013},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.46261292695999146},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4600166976451874},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45584601163864136},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4456256628036499},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4285811185836792},{"id":"https://openalex.org/keywords/fast-kalman-filter","display_name":"Fast Kalman filter","score":0.4237470030784607},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.41696473956108093},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3904983401298523},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.35306456685066223},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3417268991470337},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.3128618597984314},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17741486430168152},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.08154234290122986}],"concepts":[{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.7662309408187866},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.7479981184005737},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.6351547837257385},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6105937957763672},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5838891267776489},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.47719869017601013},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.46261292695999146},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4600166976451874},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45584601163864136},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4456256628036499},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4285811185836792},{"id":"https://openalex.org/C150679823","wikidata":"https://www.wikidata.org/wiki/Q5436946","display_name":"Fast Kalman filter","level":4,"score":0.4237470030784607},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.41696473956108093},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3904983401298523},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.35306456685066223},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3417268991470337},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.3128618597984314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17741486430168152},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.08154234290122986},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cdc40024.2019.9028895","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc40024.2019.9028895","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 58th Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},{"id":"pmh:oai:tudelft.nl:uuid:aa554aa8-ab9d-4d47-b2ff-1deb14a6d949","is_oa":false,"landing_page_url":"http://resolver.tudelft.nl/uuid:aa554aa8-ab9d-4d47-b2ff-1deb14a6d949","pdf_url":null,"source":{"id":"https://openalex.org/S4306400906","display_name":"Research Repository (Delft University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98358874","host_organization_name":"Delft University of Technology","host_organization_lineage":["https://openalex.org/I98358874"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference paper"},{"id":"mag:3041484767","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002218351117070","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1581808154","https://openalex.org/W1756404937","https://openalex.org/W1949511783","https://openalex.org/W1993482030","https://openalex.org/W2025267249","https://openalex.org/W2097867741","https://openalex.org/W2160442460","https://openalex.org/W2536468953","https://openalex.org/W2962988722","https://openalex.org/W2963484322","https://openalex.org/W2963737062","https://openalex.org/W4232464081","https://openalex.org/W6674549668","https://openalex.org/W6920392695"],"related_works":["https://openalex.org/W2772311278","https://openalex.org/W4206024512","https://openalex.org/W2359845109","https://openalex.org/W2089114113","https://openalex.org/W2136719298","https://openalex.org/W2164981166","https://openalex.org/W2911693460","https://openalex.org/W1035502194","https://openalex.org/W2354299011","https://openalex.org/W4300476109"],"abstract_inverted_index":{"This":[0,15],"article":[1],"reformulates":[2],"the":[3,27,31,49,56,74,85,102,109,112],"multiple-input-multiple-output":[4],"Volterra":[5,61],"system":[6],"identification":[7],"problem":[8],"as":[9,36],"an":[10],"extended":[11],"Kalman":[12,34],"filtering":[13,39],"problem.":[14],"reformulation":[16,50],"has":[17],"two":[18],"advantages.":[19],"First,":[20],"it":[21],"results":[22],"in":[23,73],"a":[24],"simplification":[25],"of":[26,58,71,87,94,111],"solution":[28],"compared":[29,100],"to":[30,52,66,101],"Tensor":[32],"Network":[33],"filter":[35],"no":[37],"tensor":[38,89,96],"equations":[40],"are":[41],"required":[42],"anymore.":[43],"The":[44,69,91],"second":[45],"advantage":[46],"is":[47,82,99],"that":[48],"allows":[51],"model":[53],"correlations":[54],"between":[55],"parameters":[57],"different":[59],"multiple-input-single-output":[60],"systems,":[62],"which":[63],"can":[64],"lead":[65],"better":[67],"accuracy.":[68],"curse":[70],"dimensionality":[72],"exponentially":[75],"large":[76],"parameter":[77],"vector":[78],"and":[79,105],"covariance":[80],"matrix":[81],"lifted":[83],"through":[84],"use":[86],"low-rank":[88],"networks.":[90],"computational":[92],"complexity":[93],"our":[95],"network":[97],"implementation":[98,104],"conventional":[103],"numerical":[106],"experiments":[107],"demonstrate":[108],"effectiveness":[110],"proposed":[113],"method.":[114]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}