{"id":"https://openalex.org/W4315488986","doi":"https://doi.org/10.1109/cdc51059.2022.9992891","title":"Message Passing-based System Identification for NARMAX Models","display_name":"Message Passing-based System Identification for NARMAX Models","publication_year":2022,"publication_date":"2022-12-06","ids":{"openalex":"https://openalex.org/W4315488986","doi":"https://doi.org/10.1109/cdc51059.2022.9992891"},"language":"en","primary_location":{"id":"doi:10.1109/cdc51059.2022.9992891","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cdc51059.2022.9992891","pdf_url":null,"source":{"id":"https://openalex.org/S4363607710","display_name":"2022 IEEE 61st Conference on Decision and Control (CDC)","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 61st Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://research.tue.nl/en/publications/36dff31f-6f56-4975-9f81-e02d64ff45b8","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071375305","display_name":"Albert Podusenko","orcid":null},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Albert Podusenko","raw_affiliation_strings":["TU Eindhoven,dept. of Electrical Engineering,Eindhoven,the Netherlands","dept. of Electrical Engineering, TU Eindhoven, Eindhoven, the Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Eindhoven,dept. of Electrical Engineering,Eindhoven,the Netherlands","institution_ids":["https://openalex.org/I83019370"]},{"raw_affiliation_string":"dept. of Electrical Engineering, TU Eindhoven, Eindhoven, the Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071066422","display_name":"Semih Akbayrak","orcid":null},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Semih Akbayrak","raw_affiliation_strings":["TU Eindhoven,dept. of Electrical Engineering,Eindhoven,the Netherlands","dept. of Electrical Engineering, TU Eindhoven, Eindhoven, the Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Eindhoven,dept. of Electrical Engineering,Eindhoven,the Netherlands","institution_ids":["https://openalex.org/I83019370"]},{"raw_affiliation_string":"dept. of Electrical Engineering, TU Eindhoven, Eindhoven, the Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077888111","display_name":"\u0130smai\u0307l \u015een\u00f6z","orcid":"https://orcid.org/0000-0001-7355-2138"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Ismail Senoz","raw_affiliation_strings":["TU Eindhoven,dept. of Electrical Engineering,Eindhoven,the Netherlands","dept. of Electrical Engineering, TU Eindhoven, Eindhoven, the Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Eindhoven,dept. of Electrical Engineering,Eindhoven,the Netherlands","institution_ids":["https://openalex.org/I83019370"]},{"raw_affiliation_string":"dept. of Electrical Engineering, TU Eindhoven, Eindhoven, the Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056957450","display_name":"Maarten Schoukens","orcid":"https://orcid.org/0000-0002-4904-1255"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Maarten Schoukens","raw_affiliation_strings":["TU Eindhoven,dept. of Electrical Engineering,Eindhoven,the Netherlands","dept. of Electrical Engineering, TU Eindhoven, Eindhoven, the Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Eindhoven,dept. of Electrical Engineering,Eindhoven,the Netherlands","institution_ids":["https://openalex.org/I83019370"]},{"raw_affiliation_string":"dept. of Electrical Engineering, TU Eindhoven, Eindhoven, the Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015804681","display_name":"Wouter M. Kouw","orcid":"https://orcid.org/0000-0002-0547-4817"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Wouter M. Kouw","raw_affiliation_strings":["TU Eindhoven,dept. of Electrical Engineering,Eindhoven,the Netherlands","dept. of Electrical Engineering, TU Eindhoven, Eindhoven, the Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Eindhoven,dept. of Electrical Engineering,Eindhoven,the Netherlands","institution_ids":["https://openalex.org/I83019370"]},{"raw_affiliation_string":"dept. of Electrical Engineering, TU Eindhoven, Eindhoven, the Netherlands","institution_ids":["https://openalex.org/I83019370"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I83019370"],"apc_list":null,"apc_paid":null,"fwci":0.7013,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6752541,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"6","issue":null,"first_page":"7309","last_page":"7314"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9975000023841858,"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":0.9975000023841858,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9947999715805054,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9930999875068665,"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/message-passing","display_name":"Message passing","score":0.6939333081245422},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6677771806716919},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.666143536567688},{"id":"https://openalex.org/keywords/factor-graph","display_name":"Factor graph","score":0.5933230519294739},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.530955970287323},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.5272442698478699},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5042785406112671},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4966500401496887},{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.4851711392402649},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.47317057847976685},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.46754544973373413},{"id":"https://openalex.org/keywords/bayesian-linear-regression","display_name":"Bayesian linear regression","score":0.4336322247982025},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.42435422539711},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.286011278629303},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2766454815864563},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.22282099723815918},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20466181635856628},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.11298707127571106}],"concepts":[{"id":"https://openalex.org/C854659","wikidata":"https://www.wikidata.org/wiki/Q1859284","display_name":"Message passing","level":2,"score":0.6939333081245422},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6677771806716919},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.666143536567688},{"id":"https://openalex.org/C159246509","wikidata":"https://www.wikidata.org/wiki/Q5428725","display_name":"Factor graph","level":3,"score":0.5933230519294739},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.530955970287323},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.5272442698478699},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5042785406112671},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4966500401496887},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.4851711392402649},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47317057847976685},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.46754544973373413},{"id":"https://openalex.org/C37903108","wikidata":"https://www.wikidata.org/wiki/Q4874474","display_name":"Bayesian linear regression","level":4,"score":0.4336322247982025},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.42435422539711},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.286011278629303},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2766454815864563},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.22282099723815918},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20466181635856628},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.11298707127571106},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/cdc51059.2022.9992891","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cdc51059.2022.9992891","pdf_url":null,"source":{"id":"https://openalex.org/S4363607710","display_name":"2022 IEEE 61st Conference on Decision and Control (CDC)","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 61st Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.tue.nl:openaire_cris_publications/36dff31f-6f56-4975-9f81-e02d64ff45b8","is_oa":true,"landing_page_url":"https://research.tue.nl/en/publications/36dff31f-6f56-4975-9f81-e02d64ff45b8","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Podusenko, A, Akbayrak, S, \u0218en\u00f6z, I, Schoukens, M & Kouw, W M 2023, Message passing-based system identification for NARMAX models. in 2022 IEEE 61st Conference on Decision and Control (CDC)., 9992891, Institute of Electrical and Electronics Engineers, pp. 7309-7314, 61st IEEE Conference on Decision and Control, CDC 2022, Cancun, Mexico, 6/12/22. https://doi.org/10.1109/CDC51059.2022.9992891","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:pure.tue.nl:publications/36dff31f-6f56-4975-9f81-e02d64ff45b8","is_oa":true,"landing_page_url":"https://research.tue.nl/files/261879149/Message_Passing_based_System_Identification_for_NARMAX_Models.pdf","pdf_url":"https://pure.tue.nl/ws/files/261879149/Message_Passing_based_System_Identification_for_NARMAX_Models.pdf","source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Podusenko, A, Akbayrak, S, \u0218en\u00f6z, I, Schoukens, M & Kouw, W M 2023, Message passing-based system identification for NARMAX models. in 2022 IEEE 61st Conference on Decision and Control (CDC)., 9992891, Institute of Electrical and Electronics Engineers, pp. 7309-7314, 61st IEEE Conference on Decision and Control, CDC 2022, Cancun, Mexico, 6/12/22. https://doi.org/10.1109/CDC51059.2022.9992891","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:tue:oai:pure.tue.nl:publications/36dff31f-6f56-4975-9f81-e02d64ff45b8","is_oa":false,"landing_page_url":"https://research.tue.nl/nl/publications/36dff31f-6f56-4975-9f81-e02d64ff45b8","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2022 IEEE 61st Conference on Decision and Control (CDC), 7309 - 7314","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":{"id":"pmh:oai:pure.tue.nl:openaire_cris_publications/36dff31f-6f56-4975-9f81-e02d64ff45b8","is_oa":true,"landing_page_url":"https://research.tue.nl/en/publications/36dff31f-6f56-4975-9f81-e02d64ff45b8","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Podusenko, A, Akbayrak, S, \u0218en\u00f6z, I, Schoukens, M & Kouw, W M 2023, Message passing-based system identification for NARMAX models. in 2022 IEEE 61st Conference on Decision and Control (CDC)., 9992891, Institute of Electrical and Electronics Engineers, pp. 7309-7314, 61st IEEE Conference on Decision and Control, CDC 2022, Cancun, Mexico, 6/12/22. https://doi.org/10.1109/CDC51059.2022.9992891","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7895285880","display_name":null,"funder_award_id":"P15-06","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"}],"funders":[{"id":"https://openalex.org/F4320321800","display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","ror":"https://ror.org/04jsz6e67"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1969288049","https://openalex.org/W2049650637","https://openalex.org/W2091990110","https://openalex.org/W2163364417","https://openalex.org/W2169415915","https://openalex.org/W2398757277","https://openalex.org/W2569564298","https://openalex.org/W2895860463","https://openalex.org/W2962963916","https://openalex.org/W3003964003","https://openalex.org/W3164117252","https://openalex.org/W3176003262","https://openalex.org/W3201062265","https://openalex.org/W4232464081","https://openalex.org/W4250589301","https://openalex.org/W4254218124","https://openalex.org/W4294692017","https://openalex.org/W4378574625","https://openalex.org/W6630942682","https://openalex.org/W6683951949","https://openalex.org/W6712758081"],"related_works":["https://openalex.org/W2120733084","https://openalex.org/W4301001985","https://openalex.org/W2953176410","https://openalex.org/W4301665663","https://openalex.org/W2124250880","https://openalex.org/W2122977448","https://openalex.org/W4226307048","https://openalex.org/W4310001825","https://openalex.org/W3177262287","https://openalex.org/W2091990110"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,16],"variational":[3],"Bayesian":[4],"identification":[5],"procedure":[6],"for":[7,28,60],"polynomial":[8],"NARMAX":[9],"models":[10],"based":[11],"on":[12,15],"message":[13],"passing":[14,20],"factor":[17],"graph.":[18],"Message":[19],"allows":[21],"us":[22],"to":[23,43,55,65],"obtain":[24],"full":[25],"posterior":[26,51],"distributions":[27,52],"regression":[29],"coefficients,":[30],"precision":[31],"parameters":[32],"and":[33,62,73],"noise":[34],"instances":[35],"by":[36],"means":[37],"of":[38,46],"local":[39],"computations":[40],"distributed":[41],"according":[42],"the":[44,47,57],"factorization":[45],"dynamic":[48],"model.":[49],"The":[50],"are":[53],"important":[54],"shaping":[56],"predictive":[58],"distribution":[59],"outputs,":[61],"ultimately":[63],"lead":[64],"superior":[66],"model":[67],"performance":[68],"during":[69],"1-step":[70],"ahead":[71],"prediction":[72],"simulation.":[74]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}