{"id":"https://openalex.org/W2102462218","doi":"https://doi.org/10.1109/cdc.2007.4434311","title":"Multiscale nonlinear system identification","display_name":"Multiscale nonlinear system identification","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2102462218","doi":"https://doi.org/10.1109/cdc.2007.4434311","mag":"2102462218"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2007.4434311","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2007.4434311","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/A5056444635","display_name":"Mohamed Nounou","orcid":"https://orcid.org/0000-0003-0520-9623"},"institutions":[{"id":"https://openalex.org/I58152225","display_name":"Texas A&M University at Qatar","ror":"https://ror.org/03vb4dm14","country_code":"QA","type":"education","lineage":["https://openalex.org/I58152225","https://openalex.org/I91045830"]}],"countries":["QA"],"is_corresponding":true,"raw_author_name":"Mohamed N. Nounou","raw_affiliation_strings":["Department of Chemical Engineering at Texas, A and M University, Qatar, Doha, Qatar","[Texas A&M University at Qatar, Doha]"],"affiliations":[{"raw_affiliation_string":"Department of Chemical Engineering at Texas, A and M University, Qatar, Doha, Qatar","institution_ids":["https://openalex.org/I58152225"]},{"raw_affiliation_string":"[Texas A&M University at Qatar, Doha]","institution_ids":["https://openalex.org/I58152225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025512804","display_name":"Hazem Nounou","orcid":"https://orcid.org/0000-0001-8075-1581"},"institutions":[{"id":"https://openalex.org/I92528248","display_name":"Qatar Foundation","ror":"https://ror.org/01cawbq05","country_code":"QA","type":"funder","lineage":["https://openalex.org/I92528248"]},{"id":"https://openalex.org/I58152225","display_name":"Texas A&M University at Qatar","ror":"https://ror.org/03vb4dm14","country_code":"QA","type":"education","lineage":["https://openalex.org/I58152225","https://openalex.org/I91045830"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Hazem N. Nounou","raw_affiliation_strings":["Department of Chemical Engineering at Texas, A and M University, Qatar, Doha, Qatar","Department of Chemical Engineering at Texas A&M Univsersity at Qatar, c/o Qatar Foundation, P.O. Box 5825, Doha, Qatar"],"affiliations":[{"raw_affiliation_string":"Department of Chemical Engineering at Texas, A and M University, Qatar, Doha, Qatar","institution_ids":["https://openalex.org/I58152225"]},{"raw_affiliation_string":"Department of Chemical Engineering at Texas A&M Univsersity at Qatar, c/o Qatar Foundation, P.O. Box 5825, Doha, Qatar","institution_ids":["https://openalex.org/I92528248"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5056444635"],"corresponding_institution_ids":["https://openalex.org/I58152225"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13630757,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"5755","last_page":"5760"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12603","display_name":"NMR spectroscopy and applications","score":0.9865000247955322,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9847999811172485,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.7505513429641724},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7480533123016357},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6492804884910583},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5212298631668091},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.491176575422287},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4885154962539673},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.48232409358024597},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.47590383887290955},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4662301540374756},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4010973274707794}],"concepts":[{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.7505513429641724},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7480533123016357},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6492804884910583},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5212298631668091},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.491176575422287},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4885154962539673},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.48232409358024597},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.47590383887290955},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4662301540374756},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4010973274707794},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc.2007.4434311","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2007.4434311","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":[{"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1966229131","https://openalex.org/W1966473318","https://openalex.org/W1990036156","https://openalex.org/W1993694278","https://openalex.org/W2006434287","https://openalex.org/W2015516361","https://openalex.org/W2023125185","https://openalex.org/W2041462464","https://openalex.org/W2041752335","https://openalex.org/W2046337634","https://openalex.org/W2077722294","https://openalex.org/W2098914003","https://openalex.org/W2132314545","https://openalex.org/W2132984323","https://openalex.org/W2163993958","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2382174632","https://openalex.org/W2129959498","https://openalex.org/W2784060934","https://openalex.org/W2902714807","https://openalex.org/W2537489131","https://openalex.org/W2394084632","https://openalex.org/W2358293514","https://openalex.org/W2046633342","https://openalex.org/W2014650515","https://openalex.org/W1563286744"],"abstract_inverted_index":{"Multiscale":[0],"wavelet-based":[1],"representation":[2,19],"is":[3,20,55,98,146],"a":[4,32,149],"powerful":[5],"data":[6,110,135],"analysis":[7],"and":[8,76,136],"feature":[9],"extraction":[10],"tool.":[11],"In":[12,39],"this":[13,15],"paper,":[14],"characteristic":[16],"of":[17,27,45,73,93,106,114,143],"multiscale":[18,33,121],"utilized":[21],"to":[22,56,130],"improve":[23],"the":[24,43,58,69,74,83,88,94,104,109,112,120,127,134],"prediction":[25],"accuracy":[26],"nonlinear":[28,34,47,63,153],"models":[29,48,64,82],"by":[30,111],"developing":[31],"(MSNL)":[35],"system":[36],"identification":[37],"algorithm.":[38],"particular,":[40],"we":[41],"consider":[42],"class":[44],"linear-in-the-parameters":[46],"with":[49,152],"known":[50],"basis":[51],"functions.":[52],"The":[53,90],"idea":[54],"decompose":[57],"input-output":[59],"data,":[60,75],"construct":[61],"multiple":[62,66],"at":[65],"scales":[67],"using":[68,148],"scaled":[70],"signal":[71],"approximations":[72],"then":[77],"select":[78],"among":[79],"all":[80],"MSNL":[81,95,144],"one":[84],"which":[85,123],"best":[86],"describes":[87],"process.":[89],"main":[91],"advantage":[92,142],"modeling":[96,145],"algorithm":[97],"that":[99],"it":[100],"inherently":[101],"accounts":[102],"for":[103],"presence":[105],"noise":[107,132],"in":[108,119,124,133],"application":[113],"low":[115],"pass":[116],"filters":[117],"used":[118],"decomposition,":[122],"turn":[125],"improves":[126],"model":[128,151],"robustness":[129],"measurement":[131],"thus":[137],"enhances":[138],"its":[139],"prediction.":[140],"This":[141],"demonstrated":[147],"reactor":[150],"reaction":[154],"rate.":[155]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
