{"id":"https://openalex.org/W3159719529","doi":"https://doi.org/10.1109/isspit51521.2020.9408986","title":"A Robust Estimation Method for Nonlinear Model Coefficients Using Ridge Regression","display_name":"A Robust Estimation Method for Nonlinear Model Coefficients Using Ridge Regression","publication_year":2020,"publication_date":"2020-12-09","ids":{"openalex":"https://openalex.org/W3159719529","doi":"https://doi.org/10.1109/isspit51521.2020.9408986","mag":"3159719529"},"language":"en","primary_location":{"id":"doi:10.1109/isspit51521.2020.9408986","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspit51521.2020.9408986","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","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/A5100736916","display_name":"Qiang Xu","orcid":"https://orcid.org/0000-0002-6111-8681"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Xu","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100349327","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0001-9153-8815"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["CETC RongWei Electronic Technology Co., Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CETC RongWei Electronic Technology Co., Chengdu, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035099483","display_name":"Guizhen Wang","orcid":"https://orcid.org/0000-0001-7308-2519"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guizhen Wang","raw_affiliation_strings":["China Mobile Research Institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056512590","display_name":"Xiangjie Xia","orcid":"https://orcid.org/0000-0002-4069-8971"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangjie Xia","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100414212","display_name":"Ying Liu","orcid":"https://orcid.org/0000-0002-3771-3747"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Liu","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102209415","display_name":"Youxi Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youxi Tang","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18117488,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"55","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11248","display_name":"Advanced Power Amplifier Design","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11248","display_name":"Advanced Power Amplifier Design","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.996399998664856,"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":0.9945999979972839,"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/robustness","display_name":"Robustness (evolution)","score":0.8649519681930542},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.6705530881881714},{"id":"https://openalex.org/keywords/linearization","display_name":"Linearization","score":0.5804911851882935},{"id":"https://openalex.org/keywords/nonlinear-regression","display_name":"Nonlinear regression","score":0.5409027934074402},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47350627183914185},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4233984351158142},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.4158502221107483},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4028116464614868},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.33162981271743774},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2584689259529114},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23774629831314087},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11554059386253357}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8649519681930542},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.6705530881881714},{"id":"https://openalex.org/C11210021","wikidata":"https://www.wikidata.org/wiki/Q1520713","display_name":"Linearization","level":3,"score":0.5804911851882935},{"id":"https://openalex.org/C46889948","wikidata":"https://www.wikidata.org/wiki/Q2755024","display_name":"Nonlinear regression","level":3,"score":0.5409027934074402},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47350627183914185},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4233984351158142},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.4158502221107483},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4028116464614868},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.33162981271743774},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2584689259529114},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23774629831314087},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11554059386253357},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","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/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/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isspit51521.2020.9408986","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspit51521.2020.9408986","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/1","display_name":"No poverty"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2001258722","https://openalex.org/W2011476574","https://openalex.org/W2018955957","https://openalex.org/W2047028564","https://openalex.org/W2066923481","https://openalex.org/W2086822168","https://openalex.org/W2096483679","https://openalex.org/W2122407821","https://openalex.org/W2160068178","https://openalex.org/W2171395034","https://openalex.org/W2317133390","https://openalex.org/W2511177983","https://openalex.org/W2753635250","https://openalex.org/W4255455317","https://openalex.org/W6743659993"],"related_works":["https://openalex.org/W2770593030","https://openalex.org/W2553468687","https://openalex.org/W3154990682","https://openalex.org/W2560201613","https://openalex.org/W2171975302","https://openalex.org/W2022352247","https://openalex.org/W2953137247","https://openalex.org/W4312219546","https://openalex.org/W2562562250","https://openalex.org/W2365616654"],"abstract_inverted_index":{"In":[0,42],"this":[1],"paper,":[2],"we":[3,61,104],"study":[4],"the":[5,13,33,63,68,71,83,89,96,101,112,118,121,137,140,144,151],"robustness":[6,34,79,119],"of":[7,15,38,70,120,139,146],"least":[8],"squares":[9],"(LS)":[10],"estimation":[11,21,66,148],"for":[12,31],"modeling":[14],"nonlinear":[16,40,58,72],"systems,":[17],"and":[18,75,115,143],"propose":[19],"an":[20],"method":[22,109,149,154],"with":[23],"enhanced":[24],"robustness.":[25],"We":[26],"first":[27],"show":[28,76],"some":[29],"motivations":[30],"improving":[32],"when":[35],"estimating":[36],"coefficients":[37,91,122,138],"a":[39,45,56,87,106,129],"model.":[41],"particular,":[43],"without":[44],"robust":[46],"estimation,":[47],"two":[48],"recent":[49],"linearization":[50],"techniques":[51],"would":[52],"fail":[53],"to":[54,110,135],"linearize":[55],"practical":[57,130],"system.":[59],"Then,":[60],"analyze":[62],"commonly-used":[64],"LS":[65],"in":[67],"application":[69],"system":[73],"modeling,":[74],"its":[77],"poor":[78],"is":[80,126,155],"originated":[81],"from":[82,95,128],"correlation":[84,113],"effects.":[85],"As":[86],"result,":[88],"estimated":[90],"will":[92],"deviate":[93],"unpredictably":[94],"true":[97],"coefficients.":[98],"Based":[99],"on":[100],"above":[102],"analysis,":[103],"present":[105],"ridge":[107],"regression":[108],"remove":[111],"effects,":[114],"hence":[116],"improve":[117],"estimation.":[123],"Some":[124],"data":[125],"captured":[127],"1-watt":[131],"power":[132],"amplifier":[133],"(PA)":[134],"estimate":[136],"PA":[141],"model,":[142],"superiority":[145],"our":[147],"over":[150],"conventional":[152],"LS-based":[153],"demonstrated.":[156]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}