{"id":"https://openalex.org/W2169074446","doi":"https://doi.org/10.1109/tnnls.2015.2399331","title":"&lt;inline-formula&gt; &lt;tex-math notation=\"LaTeX\"&gt;$H_{\\infty }$ &lt;/tex-math&gt;&lt;/inline-formula&gt; State Estimation for Discrete-Time Delayed Systems of the Neural Network Type With Multiple Missing Measurements","display_name":"&lt;inline-formula&gt; &lt;tex-math notation=\"LaTeX\"&gt;$H_{\\infty }$ &lt;/tex-math&gt;&lt;/inline-formula&gt; State Estimation for Discrete-Time Delayed Systems of the Neural Network Type With Multiple Missing Measurements","publication_year":2015,"publication_date":"2015-02-27","ids":{"openalex":"https://openalex.org/W2169074446","doi":"https://doi.org/10.1109/tnnls.2015.2399331","mag":"2169074446","pmid":"https://pubmed.ncbi.nlm.nih.gov/25730832"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2015.2399331","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2015.2399331","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5033808402","display_name":"Meiqin Liu","orcid":"https://orcid.org/0000-0003-0693-6574"},"institutions":[{"id":"https://openalex.org/I4391767838","display_name":"State Key Laboratory of Industrial Control Technology","ror":"https://ror.org/03a33a786","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767838","https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Meiqin Liu","raw_affiliation_strings":["State Key Laboratory of Industrial Control Technology, College of Electrical Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Industrial Control Technology, College of Electrical Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4391767838"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100697327","display_name":"Haiyang Chen","orcid":"https://orcid.org/0000-0002-7556-6741"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyang Chen","raw_affiliation_strings":["College of Electrical Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5033808402"],"corresponding_institution_ids":["https://openalex.org/I4391767838"],"apc_list":null,"apc_paid":null,"fwci":9.7965,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":{"value":0.98001752,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"26","issue":"12","first_page":"2987","last_page":"2998"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9986000061035156,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9986000061035156,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9926999807357788,"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/T11347","display_name":"Neural Networks Stability and Synchronization","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/mathematics","display_name":"Mathematics","score":0.6039676666259766},{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.5770748257637024},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.537345826625824},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.507977306842804},{"id":"https://openalex.org/keywords/type","display_name":"Type (biology)","score":0.45910999178886414},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.3565657138824463},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3463910222053528},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.22485759854316711},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17263489961624146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10418975353240967},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.03938618302345276}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6039676666259766},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.5770748257637024},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.537345826625824},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.507977306842804},{"id":"https://openalex.org/C2777299769","wikidata":"https://www.wikidata.org/wiki/Q3707858","display_name":"Type (biology)","level":2,"score":0.45910999178886414},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.3565657138824463},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3463910222053528},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.22485759854316711},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17263489961624146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10418975353240967},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.03938618302345276},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013269","descriptor_name":"Stochastic Processes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013269","descriptor_name":"Stochastic Processes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013269","descriptor_name":"Stochastic Processes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017711","descriptor_name":"Nonlinear Dynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017711","descriptor_name":"Nonlinear Dynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017711","descriptor_name":"Nonlinear Dynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2015.2399331","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2015.2399331","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:25730832","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25730832","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4850450568","display_name":null,"funder_award_id":"2014XZZX003-12","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4992291466","display_name":null,"funder_award_id":"61222310","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5014851962","display_name":null,"funder_award_id":"20130101110109","funder_id":"https://openalex.org/F4320336024","funder_display_name":"Specialized Research Fund for the Doctoral Program of Higher Education of China"},{"id":"https://openalex.org/G5159244824","display_name":null,"funder_award_id":"20120101110115","funder_id":"https://openalex.org/F4320336024","funder_display_name":"Specialized Research Fund for the Doctoral Program of Higher Education of China"},{"id":"https://openalex.org/G5697641663","display_name":null,"funder_award_id":"61174142","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7706083623","display_name":null,"funder_award_id":"61374021","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"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320336024","display_name":"Specialized Research Fund for the Doctoral Program of Higher Education of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1539733651","https://openalex.org/W1964933603","https://openalex.org/W1967631930","https://openalex.org/W1975362948","https://openalex.org/W1998565010","https://openalex.org/W2001181204","https://openalex.org/W2004195722","https://openalex.org/W2004556752","https://openalex.org/W2009257763","https://openalex.org/W2018294084","https://openalex.org/W2034276718","https://openalex.org/W2034691666","https://openalex.org/W2036791005","https://openalex.org/W2039353151","https://openalex.org/W2042180616","https://openalex.org/W2042203776","https://openalex.org/W2042762721","https://openalex.org/W2045523334","https://openalex.org/W2046127725","https://openalex.org/W2048789187","https://openalex.org/W2051581198","https://openalex.org/W2052692664","https://openalex.org/W2059699856","https://openalex.org/W2067071738","https://openalex.org/W2067121838","https://openalex.org/W2068084471","https://openalex.org/W2076263234","https://openalex.org/W2078431770","https://openalex.org/W2086094738","https://openalex.org/W2145907595","https://openalex.org/W2147137560","https://openalex.org/W2147945976","https://openalex.org/W2404784624","https://openalex.org/W2563221010","https://openalex.org/W3210839039"],"related_works":["https://openalex.org/W2504004674","https://openalex.org/W1987679298","https://openalex.org/W2963177394","https://openalex.org/W4313359513","https://openalex.org/W2498744856","https://openalex.org/W4390482104","https://openalex.org/W322408318","https://openalex.org/W149041114","https://openalex.org/W1965815883","https://openalex.org/W763418848"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"the":[3,16,95,103,117,121,132,134,142,154,161,167,181,199],"H\u221e":[4,118,135],"state":[5],"estimation":[6,122],"problem":[7],"for":[8],"a":[9,48,53,58,90],"class":[10],"of":[11,15,52,83,110,120,160,180],"discrete-time":[12],"nonlinear":[13,29,60],"systems":[14,30],"neural":[17,33],"network":[18,36],"type":[19],"with":[20],"random":[21,78],"time-varying":[22],"delays":[23],"and":[24,40,57,114,157],"multiple":[25],"missing":[26,63],"measurements.":[27],"These":[28],"include":[31],"recurrent":[32],"networks,":[34],"complex":[35],"systems,":[37,39,184],"Lur'e":[38],"so":[41],"on":[42,94,131],"which":[43,170],"can":[44],"be":[45],"described":[46],"by":[47,74,108],"unified":[49],"model":[50],"consisting":[51],"linear":[54],"dynamic":[55],"system":[56,105,125,144],"static":[59],"operator.":[61],"The":[62],"phenomenon":[64],"commonly":[65],"existing":[66],"in":[67],"measurements":[68],"is":[69,99,128,145],"assumed":[70],"to":[71,101,173,197],"occur":[72],"randomly":[73],"introducing":[75],"mutually":[76],"individual":[77],"variables":[79],"satisfying":[80],"certain":[81],"kind":[82],"probability":[84,159],"distribution.":[85],"Throughout":[86],"this":[87,151],"paper,":[88,152],"first":[89],"Luenberger-like":[91],"estimator":[92,136],"based":[93],"imperfect":[96],"output":[97],"data":[98],"constructed":[100],"obtain":[102,187],"immeasurable":[104],"states.":[106],"Then,":[107],"virtue":[109],"Lyapunov":[111],"stability":[112],"theory":[113],"stochastic":[115],"method,":[116],"performance":[119],"error":[123],"dynamical":[124],"(augmented":[126],"system)":[127],"analyzed.":[129],"Based":[130],"analysis,":[133],"gains":[137],"are":[138,164,195],"deduced":[139],"such":[140],"that":[141],"augmented":[143],"globally":[146],"mean":[147],"square":[148],"stable.":[149],"In":[150],"both":[153],"variation":[155],"range":[156],"distribution":[158],"time":[162],"delay":[163],"incorporated":[165],"into":[166],"control":[168,201],"laws,":[169],"allows":[171],"us":[172],"not":[174],"only":[175],"have":[176],"more":[177],"accurate":[178],"models":[179],"real":[182],"physical":[183],"but":[185],"also":[186],"less":[188],"conservative":[189],"results.":[190],"Finally,":[191],"three":[192],"illustrative":[193],"examples":[194],"provided":[196],"validate":[198],"proposed":[200],"laws.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":1}],"updated_date":"2026-05-12T08:28:47.272897","created_date":"2016-06-24T00:00:00"}
