{"id":"https://openalex.org/W2168129004","doi":"https://doi.org/10.1109/cdc.2007.4435001","title":"Optimal input design for system identification in the presence of undermodeling","display_name":"Optimal input design for system identification in the presence of undermodeling","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2168129004","doi":"https://doi.org/10.1109/cdc.2007.4435001","mag":"2168129004"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2007.4435001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2007.4435001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 46th IEEE Conference on Decision and Control","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/A5097589257","display_name":"Hiromi Suzukit","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hiromi Suzukit","raw_affiliation_strings":["KYOTO UNIVERSITY KYOTO"],"affiliations":[{"raw_affiliation_string":"KYOTO UNIVERSITY KYOTO","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011600081","display_name":"Toshiharu Sugie","orcid":"https://orcid.org/0000-0002-6100-5222"},"institutions":[{"id":"https://openalex.org/I4210088032","display_name":"Kyoto Bunkyo University","ror":"https://ror.org/0037an472","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210088032"]},{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toshiharu Sugie","raw_affiliation_strings":["Department of Systems Science, Kyoto University, Uji, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Systems Science, Kyoto University, Uji, Kyoto, Japan","institution_ids":["https://openalex.org/I4210088032","https://openalex.org/I22299242"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5097589257"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0731,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.82782024,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"5522","last_page":"5527"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9998000264167786,"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"}},{"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.608314573764801},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5466918349266052},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.5348823070526123},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4852738082408905},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44714412093162537},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4140776991844177},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.37147635221481323},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3351895213127136},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.2617453336715698}],"concepts":[{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.608314573764801},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5466918349266052},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.5348823070526123},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4852738082408905},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44714412093162537},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4140776991844177},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.37147635221481323},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3351895213127136},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2617453336715698},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/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":1,"locations":[{"id":"doi:10.1109/cdc.2007.4435001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2007.4435001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 46th IEEE Conference on Decision and Control","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W178056938","https://openalex.org/W641160294","https://openalex.org/W648194905","https://openalex.org/W1603277681","https://openalex.org/W1965324089","https://openalex.org/W1967818295","https://openalex.org/W1986167652","https://openalex.org/W1990032845","https://openalex.org/W1995569434","https://openalex.org/W2000323350","https://openalex.org/W2004058245","https://openalex.org/W2065624902","https://openalex.org/W2071356971","https://openalex.org/W2092183999","https://openalex.org/W2104660384","https://openalex.org/W2129895739","https://openalex.org/W2130318261","https://openalex.org/W2139341823","https://openalex.org/W2289455364","https://openalex.org/W2323776461","https://openalex.org/W2495427521","https://openalex.org/W2530107105","https://openalex.org/W6723369353"],"related_works":["https://openalex.org/W2898732673","https://openalex.org/W2410053581","https://openalex.org/W2383658677","https://openalex.org/W3123203398","https://openalex.org/W1972473893","https://openalex.org/W2466435674","https://openalex.org/W2765200542","https://openalex.org/W2367893528","https://openalex.org/W2382161936","https://openalex.org/W176335707"],"abstract_inverted_index":{"An":[0],"optimal":[1],"input":[2,78,115],"design":[3],"problem":[4],"for":[5,83,120,126],"linear":[6,95],"system":[7,25,124,129],"identification":[8,40,86],"is":[9,42,48,61],"studied":[10],"in":[11,26],"the":[12,23,57,64,77,84,89,106,114,121,127],"presence":[13],"of":[14,66,88],"undermodeling.":[15],"To":[16],"obtain":[17],"a":[18,45,51,94],"reduced-order":[19],"model":[20,47,60,65,91],"which":[21],"approximates":[22],"true":[24,90,128],"frequency":[27],"weighted":[28],"L":[29,70],"<sub":[30,71],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[31,72],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sub>":[32,73],"-norm":[33],"through":[34],"an":[35,38],"open-loop":[36],"experiment,":[37],"indirect":[39],"method":[41,54,108],"adopted:":[43],"first,":[44],"full-order":[46,59],"identified":[49],"via":[50,69],"prediction":[52],"error":[53],"(PEM);":[55],"Second,":[56],"obtained":[58],"reduced":[62,122],"to":[63,130],"assigned":[67],"structure":[68],"-model":[74],"reduction.":[75],"Then,":[76],"spectrum":[79],"can":[80],"be":[81,118],"optimized":[82,119],"reduced-model":[85],"instead":[87],"by":[92],"solving":[93],"matrix":[96],"inequalities":[97],"(LMIs)":[98],"optimization":[99],"problem.":[100],"A":[101],"numerical":[102],"example":[103],"demonstrates":[104],"how":[105],"proposed":[107],"works.":[109],"The":[110],"result":[111],"implies":[112],"that":[113],"signal":[116],"should":[117],"order":[123],"not":[125],"achieve":[131],"better":[132],"estimation":[133],"accuracy.":[134]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
