{"id":"https://openalex.org/W4364322453","doi":"https://doi.org/10.1109/tim.2023.3265743","title":"Time-Delay Estimation Based on Graph Global Smoothness","display_name":"Time-Delay Estimation Based on Graph Global Smoothness","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4364322453","doi":"https://doi.org/10.1109/tim.2023.3265743"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2023.3265743","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3265743","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-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/A5017247792","display_name":"Xuguang Wang","orcid":"https://orcid.org/0000-0003-0890-9270"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuguang Wang","raw_affiliation_strings":["School of Control and Computer Engineering and the Hebei Technology Innovation Center of Simulation and Optimized Control for Power Generation, North China Electric Power University, Baoding, China","Baoding key Laboratory of State Detection and Optimization Regulation for Integrated Energy System, Baoding, China","School of Control and Computer Engineering, North China Electric Power University, Baoding, China"],"raw_orcid":"https://orcid.org/0000-0003-0890-9270","affiliations":[{"raw_affiliation_string":"School of Control and Computer Engineering and the Hebei Technology Innovation Center of Simulation and Optimized Control for Power Generation, North China Electric Power University, Baoding, China","institution_ids":["https://openalex.org/I153473198"]},{"raw_affiliation_string":"Baoding key Laboratory of State Detection and Optimization Regulation for Integrated Energy System, Baoding, China","institution_ids":[]},{"raw_affiliation_string":"School of Control and Computer Engineering, North China Electric Power University, Baoding, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021367184","display_name":"Ke Zhang","orcid":"https://orcid.org/0000-0002-7211-9065"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Zhang","raw_affiliation_strings":["School of Control and Computer Engineering and the Hebei Technology Innovation Center of Simulation and Optimized Control for Power Generation, North China Electric Power University, Baoding, China","Baoding key Laboratory of State Detection and Optimization Regulation for Integrated Energy System, Baoding, China","School of Control and Computer Engineering, North China Electric Power University, Baoding, China"],"raw_orcid":"https://orcid.org/0000-0002-7211-9065","affiliations":[{"raw_affiliation_string":"School of Control and Computer Engineering and the Hebei Technology Innovation Center of Simulation and Optimized Control for Power Generation, North China Electric Power University, Baoding, China","institution_ids":["https://openalex.org/I153473198"]},{"raw_affiliation_string":"Baoding key Laboratory of State Detection and Optimization Regulation for Integrated Energy System, Baoding, China","institution_ids":[]},{"raw_affiliation_string":"School of Control and Computer Engineering, North China Electric Power University, Baoding, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002509440","display_name":"Jie Su","orcid":"https://orcid.org/0000-0003-0534-3793"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Su","raw_affiliation_strings":["Baoding Key Laboratory of State Detection and Optimization Regulation for Integrated Energy System, North China Electric Power University, Baoding, China","School of Control and Computer Engineering, North China Electric Power University, Baoding, China","Hebei Technology Innovation Center of Simulation and Optimized Control for Power Generation, Baoding, China"],"raw_orcid":"https://orcid.org/0000-0003-0534-3793","affiliations":[{"raw_affiliation_string":"Baoding Key Laboratory of State Detection and Optimization Regulation for Integrated Energy System, North China Electric Power University, Baoding, China","institution_ids":["https://openalex.org/I153473198"]},{"raw_affiliation_string":"School of Control and Computer Engineering, North China Electric Power University, Baoding, China","institution_ids":["https://openalex.org/I153473198"]},{"raw_affiliation_string":"Hebei Technology Innovation Center of Simulation and Optimized Control for Power Generation, Baoding, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I153473198"],"apc_list":null,"apc_paid":null,"fwci":0.5339,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.5902607,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"72","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.989300012588501,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.989300012588501,"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/T10320","display_name":"Neural Networks and Applications","score":0.9868000149726868,"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"}},{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9785000085830688,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6233625411987305},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.5987219214439392},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5862066745758057},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4745805263519287},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.4650980234146118},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4623798727989197},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.33213672041893005},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2581418454647064},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2541823387145996},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13344168663024902},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11016413569450378},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08575844764709473}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6233625411987305},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.5987219214439392},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5862066745758057},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4745805263519287},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.4650980234146118},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4623798727989197},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.33213672041893005},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2581418454647064},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2541823387145996},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13344168663024902},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11016413569450378},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08575844764709473},{"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2023.3265743","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3265743","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G8698067272","display_name":null,"funder_award_id":"62076093","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1596324102","https://openalex.org/W1596717185","https://openalex.org/W1964357740","https://openalex.org/W1968983915","https://openalex.org/W1990225238","https://openalex.org/W2046317813","https://openalex.org/W2047161049","https://openalex.org/W2054386449","https://openalex.org/W2064675550","https://openalex.org/W2101491865","https://openalex.org/W2126788368","https://openalex.org/W2135817141","https://openalex.org/W2146502635","https://openalex.org/W2153635508","https://openalex.org/W2162456545","https://openalex.org/W2476655802","https://openalex.org/W2532553709","https://openalex.org/W2551613294","https://openalex.org/W2566258672","https://openalex.org/W2600827918","https://openalex.org/W2604802223","https://openalex.org/W2794292658","https://openalex.org/W2802659925","https://openalex.org/W2886483975","https://openalex.org/W2902441381","https://openalex.org/W2914809602","https://openalex.org/W2942440950","https://openalex.org/W2971718037","https://openalex.org/W2972976624","https://openalex.org/W3015050567","https://openalex.org/W3016755203","https://openalex.org/W3048570695","https://openalex.org/W3119704083","https://openalex.org/W3200304500","https://openalex.org/W4301501800","https://openalex.org/W6681435938","https://openalex.org/W6684083145","https://openalex.org/W6776185140"],"related_works":["https://openalex.org/W2393022482","https://openalex.org/W2377346130","https://openalex.org/W2361092061","https://openalex.org/W34817178","https://openalex.org/W2319775965","https://openalex.org/W2357314690","https://openalex.org/W2795976185","https://openalex.org/W2191886813","https://openalex.org/W2163394011","https://openalex.org/W2353606679"],"abstract_inverted_index":{"Time-delay":[0],"is":[1,50,60,79,101,114,131],"an":[2,47,83],"essential":[3],"factor":[4],"affecting":[5],"the":[6,21,39,55,63,67,90,94,98,119,122,128,137,141,155,158],"performance":[7],"of":[8,57,89,97,110,121,127,140,157],"time":[9,14],"series-related":[10],"tasks":[11],"such":[12],"as":[13,103],"series":[15],"forecasting,":[16],"system":[17,45,75,113],"modeling,":[18],"etc.":[19],"Therefore,":[20],"time-delay":[22,105],"estimation":[23],"(TDE)":[24],"issue":[25],"has":[26],"attracted":[27],"more":[28,30],"and":[29,76,93,146],"attention.":[31],"In":[32,52],"this":[33],"paper,":[34],"a":[35,73,77,104,111],"TDE":[36,64,108,142],"method":[37],"for":[38,66],"open-loop":[40],"multi-in":[41],"multi-out":[42],"(MIMO)":[43],"delay":[44,74,91,112],"with":[46],"unknown":[48],"structure":[49],"proposed.":[51],"our":[53],"approach,":[54],"theory":[56],"graph":[58,78,85,100,130],"Laplacian":[59],"introduced":[61],"to":[62,134],"task":[65],"first":[68],"time.":[69],"The":[70,107,125],"correspondence":[71],"between":[72],"established":[80],"by":[81,117],"constructing":[82],"N-linked":[84,99,129],"from":[86],"input-output":[87],"samples":[88],"system,":[92],"global":[95,123],"smoothness":[96],"considered":[102],"metric.":[106],"process":[109],"then":[115],"implemented":[116],"tracking":[118],"minimum":[120],"smoothness.":[124],"sparsity":[126],"further":[132],"leveraged":[133],"effectively":[135],"reduce":[136],"computational":[138],"load":[139],"process.":[143],"Simulation":[144],"experiments":[145],"wind":[147],"speed":[148],"forecasting":[149],"based":[150],"on":[151],"real":[152],"data":[153],"validate":[154],"effectiveness":[156],"proposed":[159],"method.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-25T09:21:30.201066","created_date":"2025-10-10T00:00:00"}