{"id":"https://openalex.org/W2061756450","doi":"https://doi.org/10.1109/icdsp.2013.6622747","title":"System identification using control theory","display_name":"System identification using control theory","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2061756450","doi":"https://doi.org/10.1109/icdsp.2013.6622747","mag":"2061756450"},"language":"en","primary_location":{"id":"doi:10.1109/icdsp.2013.6622747","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2013.6622747","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 18th International Conference on Digital Signal Processing (DSP)","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/A5044116630","display_name":"T.J. Moir","orcid":"https://orcid.org/0000-0002-4291-6143"},"institutions":[{"id":"https://openalex.org/I39854758","display_name":"Auckland University of Technology","ror":"https://ror.org/01zvqw119","country_code":"NZ","type":"education","lineage":["https://openalex.org/I39854758"]}],"countries":["NZ"],"is_corresponding":true,"raw_author_name":"T.J. Moir","raw_affiliation_strings":["School of Engineering, Auckland University of Technology, Auckland, New Zealand","#N#School of Engineering, AUT University, Auckland, New Zealand#N#"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Auckland University of Technology, Auckland, New Zealand","institution_ids":["https://openalex.org/I39854758"]},{"raw_affiliation_string":"#N#School of Engineering, AUT University, Auckland, New Zealand#N#","institution_ids":["https://openalex.org/I39854758"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5044116630"],"corresponding_institution_ids":["https://openalex.org/I39854758"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11814697,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9998999834060669,"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":0.9998000264167786,"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"}},{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9994999766349792,"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/deconvolution","display_name":"Deconvolution","score":0.8228849172592163},{"id":"https://openalex.org/keywords/impulse-response","display_name":"Impulse response","score":0.7221944332122803},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.658184289932251},{"id":"https://openalex.org/keywords/finite-impulse-response","display_name":"Finite impulse response","score":0.6484150290489197},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6173874139785767},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.5827322006225586},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.5590516924858093},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5535790324211121},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5218592882156372},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.5131855607032776},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.4995722770690918},{"id":"https://openalex.org/keywords/method-of-steepest-descent","display_name":"Method of steepest descent","score":0.48442342877388},{"id":"https://openalex.org/keywords/blind-deconvolution","display_name":"Blind deconvolution","score":0.4515867829322815},{"id":"https://openalex.org/keywords/recursive-least-squares-filter","display_name":"Recursive least squares filter","score":0.4493091106414795},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4357069134712219},{"id":"https://openalex.org/keywords/transfer-function","display_name":"Transfer function","score":0.42736685276031494},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39726024866104126},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3545494079589844},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.3182626962661743},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.2106124758720398},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1821081042289734},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.143463134765625},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1371568739414215},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13249558210372925},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.0864916741847992}],"concepts":[{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.8228849172592163},{"id":"https://openalex.org/C72279823","wikidata":"https://www.wikidata.org/wiki/Q1139726","display_name":"Impulse response","level":2,"score":0.7221944332122803},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.658184289932251},{"id":"https://openalex.org/C198386975","wikidata":"https://www.wikidata.org/wiki/Q117785","display_name":"Finite impulse response","level":2,"score":0.6484150290489197},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6173874139785767},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.5827322006225586},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.5590516924858093},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5535790324211121},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5218592882156372},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.5131855607032776},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.4995722770690918},{"id":"https://openalex.org/C158847443","wikidata":"https://www.wikidata.org/wiki/Q1997812","display_name":"Method of steepest descent","level":2,"score":0.48442342877388},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.4515867829322815},{"id":"https://openalex.org/C145249878","wikidata":"https://www.wikidata.org/wiki/Q2835868","display_name":"Recursive least squares filter","level":3,"score":0.4493091106414795},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4357069134712219},{"id":"https://openalex.org/C81299745","wikidata":"https://www.wikidata.org/wiki/Q334269","display_name":"Transfer function","level":2,"score":0.42736685276031494},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39726024866104126},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3545494079589844},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3182626962661743},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2106124758720398},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1821081042289734},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.143463134765625},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1371568739414215},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13249558210372925},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.0864916741847992},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/icdsp.2013.6622747","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2013.6622747","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 18th International Conference on Digital Signal Processing (DSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W292716351","https://openalex.org/W658090481","https://openalex.org/W1492221128","https://openalex.org/W2015686860","https://openalex.org/W2015912154","https://openalex.org/W2051374263","https://openalex.org/W2102827919","https://openalex.org/W2158780756","https://openalex.org/W2488876280"],"related_works":["https://openalex.org/W2393439324","https://openalex.org/W2752361204","https://openalex.org/W2081157561","https://openalex.org/W1598601096","https://openalex.org/W131846159","https://openalex.org/W3197592642","https://openalex.org/W2155993847","https://openalex.org/W2914176832","https://openalex.org/W1607779088","https://openalex.org/W2088010696"],"abstract_inverted_index":{"This":[0,47],"paper":[1],"considers":[2],"preliminary":[3],"results":[4],"for":[5],"a":[6,25,58],"novel":[7],"approach":[8],"to":[9,39],"the":[10,34,41,45,54],"identification":[11],"of":[12,57],"finite-impulse":[13],"response":[14],"(FIR)":[15],"or":[16,31],"autoregressive":[17],"(AR)":[18],"models.":[19],"Whereas":[20],"traditional":[21],"methods":[22],"have":[23],"employed":[24],"cost":[26],"function":[27],"such":[28],"as":[29],"least-squares":[30],"steepest":[32],"descent,":[33],"new":[35],"method":[36],"uses":[37],"deconvolution":[38],"split":[40],"unknown":[42],"parameters":[43],"from":[44],"regressors.":[46],"is":[48],"achieved":[49],"by":[50],"using":[51],"convolution":[52],"in":[53],"feedback":[55],"path":[56],"high-gain":[59],"control-system.":[60]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}