{"id":"https://openalex.org/W2178414824","doi":"https://doi.org/10.1109/iccais.2015.7338699","title":"Two-stage recursive least squares method for modeling power signals","display_name":"Two-stage recursive least squares method for modeling power signals","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2178414824","doi":"https://doi.org/10.1109/iccais.2015.7338699","mag":"2178414824"},"language":"en","primary_location":{"id":"doi:10.1109/iccais.2015.7338699","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais.2015.7338699","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Control, Automation and Information Sciences (ICCAIS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101510873","display_name":"Xiangli Li","orcid":"https://orcid.org/0000-0003-1077-0730"},"institutions":[{"id":"https://openalex.org/I21741975","display_name":"Suzhou University of Technology","ror":"https://ror.org/05g6ben79","country_code":"CN","type":"education","lineage":["https://openalex.org/I21741975"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangli Li","raw_affiliation_strings":["School of Electrical and Automatic Engineering, Changshu Institute of Technology, Changshu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Automatic Engineering, Changshu Institute of Technology, Changshu, China","institution_ids":["https://openalex.org/I21741975"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068437509","display_name":"Lincheng Zhou","orcid":"https://orcid.org/0000-0001-6348-7782"},"institutions":[{"id":"https://openalex.org/I21741975","display_name":"Suzhou University of Technology","ror":"https://ror.org/05g6ben79","country_code":"CN","type":"education","lineage":["https://openalex.org/I21741975"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lincheng Zhou","raw_affiliation_strings":["School of Electrical and Automatic Engineering, Changshu Institute of Technology, Changshu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Automatic Engineering, Changshu Institute of Technology, Changshu, China","institution_ids":["https://openalex.org/I21741975"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076018096","display_name":"Peiyi Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I21741975","display_name":"Suzhou University of Technology","ror":"https://ror.org/05g6ben79","country_code":"CN","type":"education","lineage":["https://openalex.org/I21741975"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peiyi Zhu","raw_affiliation_strings":["School of Electrical and Automatic Engineering, Changshu Institute of Technology, Changshu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Automatic Engineering, Changshu Institute of Technology, Changshu, China","institution_ids":["https://openalex.org/I21741975"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I21741975"],"apc_list":null,"apc_paid":null,"fwci":0.4828,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56741753,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"51","issue":null,"first_page":"390","last_page":"395"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9916999936103821,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9851999878883362,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/recursive-least-squares-filter","display_name":"Recursive least squares filter","score":0.6754657030105591},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.6077988743782043},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5590584874153137},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5523744225502014},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5512241125106812},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5320530533790588},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.4889284670352936},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.46512624621391296},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.458710253238678},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37851428985595703},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3718854784965515},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.19330555200576782},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16698437929153442}],"concepts":[{"id":"https://openalex.org/C145249878","wikidata":"https://www.wikidata.org/wiki/Q2835868","display_name":"Recursive least squares filter","level":3,"score":0.6754657030105591},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.6077988743782043},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5590584874153137},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5523744225502014},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5512241125106812},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5320530533790588},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.4889284670352936},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.46512624621391296},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.458710253238678},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37851428985595703},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3718854784965515},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.19330555200576782},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16698437929153442},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"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/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccais.2015.7338699","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais.2015.7338699","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Control, Automation and Information Sciences (ICCAIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.6700000166893005,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1562636957","https://openalex.org/W1964636576","https://openalex.org/W1968998080","https://openalex.org/W1970299771","https://openalex.org/W1974789391","https://openalex.org/W2001348817","https://openalex.org/W2006945230","https://openalex.org/W2016248580","https://openalex.org/W2017383296","https://openalex.org/W2027611567","https://openalex.org/W2033987350","https://openalex.org/W2049005062","https://openalex.org/W2059042561","https://openalex.org/W2064644915","https://openalex.org/W2075226287","https://openalex.org/W2076740390","https://openalex.org/W2089834914","https://openalex.org/W2092764921","https://openalex.org/W2116899486","https://openalex.org/W2148352317","https://openalex.org/W7042483727"],"related_works":["https://openalex.org/W4242740646","https://openalex.org/W4254402015","https://openalex.org/W1525886636","https://openalex.org/W1602531054","https://openalex.org/W4239999152","https://openalex.org/W2973191244","https://openalex.org/W2145213470","https://openalex.org/W2038428770","https://openalex.org/W1972943862","https://openalex.org/W2951738848"],"abstract_inverted_index":{"This":[0],"paper":[1],"studies":[2],"two-stage":[3],"recursive":[4,42],"least":[5,43],"squares":[6,44],"identification":[7],"problems":[8],"for":[9],"power":[10,23],"signals":[11],"by":[12],"the":[13,33,41,46,49,60,69,74],"decomposition":[14],"technique.":[15],"The":[16],"basic":[17],"idea":[18],"is":[19,77],"to":[20,31],"decompose":[21],"a":[22,64],"signal":[24],"model":[25],"into":[26],"two":[27],"submodels":[28],"and":[29,58],"then":[30],"identify":[32],"parameters":[34],"of":[35,48],"each":[36,54],"submodel,":[37],"respectively.":[38],"Compared":[39],"with":[40],"algorithm,":[45],"dimensions":[47],"involved":[50],"covariance":[51],"matrices":[52],"in":[53],"submodel":[55],"become":[56],"small":[57],"thus":[59],"proposed":[61,75],"algorithm":[62,76],"has":[63],"high":[65],"computational":[66],"efficiency.":[67],"Finally,":[68],"simulation":[70],"results":[71],"indicate":[72],"that":[73],"effective.":[78]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
