{"id":"https://openalex.org/W1595134542","doi":"https://doi.org/10.1109/i2mtc.2015.7151271","title":"Design of excitations for structure discrimination of nonlinear systems, using the best linear approximation","display_name":"Design of excitations for structure discrimination of nonlinear systems, using the best linear approximation","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W1595134542","doi":"https://doi.org/10.1109/i2mtc.2015.7151271","mag":"1595134542"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc.2015.7151271","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2015.7151271","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings","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/A5006350376","display_name":"Alireza Esfahani","orcid":"https://orcid.org/0000-0002-2100-1569"},"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":true,"raw_author_name":"Alireza Fakhrizadeh Esfahani","raw_affiliation_strings":["Dept. ELEC, Vrije Universiteit Brussel, Brussels","Vrije Universiteit Brussel, Department ELEC, Pleinlaan 2, B-1050 Brussels, Belgium#TAB#"],"affiliations":[{"raw_affiliation_string":"Dept. ELEC, Vrije Universiteit Brussel, Brussels","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"Vrije Universiteit Brussel, Department ELEC, Pleinlaan 2, B-1050 Brussels, Belgium#TAB#","institution_ids":["https://openalex.org/I13469542"]}]},{"author_position":"middle","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":"Johan Schoukens","raw_affiliation_strings":["Dept. ELEC, Vrije Universiteit Brussel, Brussels","Vrije Universiteit Brussel, Department ELEC, Pleinlaan 2, B-1050 Brussels, Belgium#TAB#"],"affiliations":[{"raw_affiliation_string":"Dept. ELEC, Vrije Universiteit Brussel, Brussels","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"Vrije Universiteit Brussel, Department ELEC, Pleinlaan 2, B-1050 Brussels, Belgium#TAB#","institution_ids":["https://openalex.org/I13469542"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028673957","display_name":"Laurent Vanbeylen","orcid":null},"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":"Laurent Vanbeylen","raw_affiliation_strings":["Dept. ELEC, Vrije Universiteit Brussel, Brussels","Vrije Universiteit Brussel, Department ELEC, Pleinlaan 2, B-1050 Brussels, Belgium#TAB#"],"affiliations":[{"raw_affiliation_string":"Dept. ELEC, Vrije Universiteit Brussel, Brussels","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"Vrije Universiteit Brussel, Department ELEC, Pleinlaan 2, B-1050 Brussels, Belgium#TAB#","institution_ids":["https://openalex.org/I13469542"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5006350376"],"corresponding_institution_ids":["https://openalex.org/I13469542"],"apc_list":null,"apc_paid":null,"fwci":0.6811,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.73191565,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"41","issue":null,"first_page":"234","last_page":"239"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9998999834060669,"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":0.9998999834060669,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9968000054359436,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/nonlinear-system","display_name":"Nonlinear system","score":0.8433950543403625},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.7174162864685059},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6066675186157227},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5664572715759277},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5519471168518066},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.5150256156921387},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5034415125846863},{"id":"https://openalex.org/keywords/linear-approximation","display_name":"Linear approximation","score":0.503062903881073},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4567176103591919},{"id":"https://openalex.org/keywords/linear-system","display_name":"Linear system","score":0.4245016872882843},{"id":"https://openalex.org/keywords/nonlinear-system-identification","display_name":"Nonlinear system identification","score":0.4117699861526489},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3452354967594147},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3131054639816284},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.17275437712669373},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13153445720672607},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.09977811574935913},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08756998181343079},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.06751647591590881}],"concepts":[{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.8433950543403625},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.7174162864685059},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6066675186157227},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5664572715759277},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5519471168518066},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.5150256156921387},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5034415125846863},{"id":"https://openalex.org/C160824197","wikidata":"https://www.wikidata.org/wiki/Q2071054","display_name":"Linear approximation","level":3,"score":0.503062903881073},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4567176103591919},{"id":"https://openalex.org/C6802819","wikidata":"https://www.wikidata.org/wiki/Q1072174","display_name":"Linear system","level":2,"score":0.4245016872882843},{"id":"https://openalex.org/C22157029","wikidata":"https://www.wikidata.org/wiki/Q17080460","display_name":"Nonlinear system identification","level":4,"score":0.4117699861526489},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3452354967594147},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3131054639816284},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.17275437712669373},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13153445720672607},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.09977811574935913},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08756998181343079},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.06751647591590881},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/i2mtc.2015.7151271","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2015.7151271","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings","raw_type":"proceedings-article"},{"id":"pmh:oai:vubissmart:VUBISSMART:2000:94458","is_oa":false,"landing_page_url":"https://biblio.vub.ac.be/vubir/design-of-excitations-for-structure-discrimination-of-nonlinear-systems-using-the-best-linear-approximation(04c4dd22-03a2-4e03-92fa-f2ceca1341a9).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":[{"score":0.5,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"},{"score":0.47999998927116394,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W199223845","https://openalex.org/W630696074","https://openalex.org/W1501433466","https://openalex.org/W1515361063","https://openalex.org/W1521591241","https://openalex.org/W1586698348","https://openalex.org/W1598493736","https://openalex.org/W1973407458","https://openalex.org/W1973435625","https://openalex.org/W1990369261","https://openalex.org/W2006004796","https://openalex.org/W2023256845","https://openalex.org/W2027626689","https://openalex.org/W2053904120","https://openalex.org/W2073733671","https://openalex.org/W2086248552","https://openalex.org/W2106578181","https://openalex.org/W2477506057","https://openalex.org/W2506229637","https://openalex.org/W4252099851","https://openalex.org/W6608005373","https://openalex.org/W6629821884","https://openalex.org/W6631398929","https://openalex.org/W6655891255"],"related_works":["https://openalex.org/W2152282424","https://openalex.org/W2091914113","https://openalex.org/W564324191","https://openalex.org/W2021395081","https://openalex.org/W4386033416","https://openalex.org/W2004841036","https://openalex.org/W1595492935","https://openalex.org/W1987213476","https://openalex.org/W176335707","https://openalex.org/W4245871790"],"abstract_inverted_index":{"Block-oriented":[0],"nonlinear":[1,29,66,87,124],"models":[2,30],"are":[3,8,111,115],"very":[4,33],"popular,":[5],"since":[6],"they":[7],"composed":[9],"of":[10,24,27,38,46,79,86,107],"well-understood":[11],"elements,":[12],"namely":[13],"linear":[14,93],"dynamic":[15],"parts":[16],"and":[17,41,103],"static":[18,123],"nonlinearities.":[19],"However,":[20],"the":[21,36,51,58,64,76,80,84,91,108,127],"identification":[22],"problem":[23],"most":[25,52],"types":[26],"block-oriented":[28],"can":[31],"be":[32],"difficult":[34],"(especially":[35],"generation":[37],"initial":[39],"estimates)":[40],"time-consuming.":[42],"Therefore":[43],"it":[44],"is":[45],"crucial":[47],"importance":[48],"to":[49,74],"select":[50],"appropriate":[53],"model":[54],"structure":[55,78],"directly":[56],"from":[57],"measurement":[59],"data,":[60],"before":[61],"proceeding":[62],"with":[63,121],"actual":[65],"identification.":[67],"In":[68],"this":[69],"work,":[70],"we":[71],"explore":[72],"methods":[73,114],"detect":[75],"internal":[77],"system":[81],"(in":[82],"particular,":[83],"presence":[85],"feedback),":[88],"based":[89],"on":[90,117],"best":[92],"approximation":[94],"paradigm.":[95],"Two":[96],"different":[97],"strategies":[98],"(varying":[99],"DC":[100],"(mean":[101],"value)":[102],"standard":[104],"deviation":[105],"(STD)":[106],"excitation":[109],"signal)":[110],"compared.":[112],"The":[113],"applied":[116],"two":[118],"real":[119],"systems":[120],"a":[122],"block":[125],"in":[126],"feedback":[128],"path.":[129]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}