{"id":"https://openalex.org/W2986194823","doi":"https://doi.org/10.1109/tnnls.2019.2944552","title":"Partial-Neurons-Based Passivity-Guaranteed State Estimation for Neural Networks With Randomly Occurring Time Delays","display_name":"Partial-Neurons-Based Passivity-Guaranteed State Estimation for Neural Networks With Randomly Occurring Time Delays","publication_year":2019,"publication_date":"2019-11-05","ids":{"openalex":"https://openalex.org/W2986194823","doi":"https://doi.org/10.1109/tnnls.2019.2944552","mag":"2986194823","pmid":"https://pubmed.ncbi.nlm.nih.gov/31714236"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2019.2944552","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2019.2944552","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/A5100462957","display_name":"Jiahui Li","orcid":"https://orcid.org/0000-0002-4092-9004"},"institutions":[{"id":"https://openalex.org/I921716337","display_name":"Northeast Petroleum University","ror":"https://ror.org/03net5943","country_code":"CN","type":"education","lineage":["https://openalex.org/I921716337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahui Li","raw_affiliation_strings":["Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control, Northeast Petroleum University, Daqing, China","Institute of Complex Systems and Advanced Control, Northeast Petroleum University, Daqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control, Northeast Petroleum University, Daqing, China","institution_ids":["https://openalex.org/I921716337"]},{"raw_affiliation_string":"Institute of Complex Systems and Advanced Control, Northeast Petroleum University, Daqing, China","institution_ids":["https://openalex.org/I921716337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064660687","display_name":"Hongli Dong","orcid":"https://orcid.org/0000-0001-8531-6757"},"institutions":[{"id":"https://openalex.org/I921716337","display_name":"Northeast Petroleum University","ror":"https://ror.org/03net5943","country_code":"CN","type":"education","lineage":["https://openalex.org/I921716337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongli Dong","raw_affiliation_strings":["Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control, Northeast Petroleum University, Daqing, China","Institute of Complex Systems and Advanced Control, Northeast Petroleum University, Daqing, China"],"raw_orcid":"https://orcid.org/0000-0001-8531-6757","affiliations":[{"raw_affiliation_string":"Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control, Northeast Petroleum University, Daqing, China","institution_ids":["https://openalex.org/I921716337"]},{"raw_affiliation_string":"Institute of Complex Systems and Advanced Control, Northeast Petroleum University, Daqing, China","institution_ids":["https://openalex.org/I921716337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100699858","display_name":"Zidong Wang","orcid":"https://orcid.org/0000-0002-9576-7401"},"institutions":[{"id":"https://openalex.org/I59433898","display_name":"Brunel University of London","ror":"https://ror.org/00dn4t376","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I59433898"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zidong Wang","raw_affiliation_strings":["Brunel University London, Uxbridge, U.K"],"raw_orcid":"https://orcid.org/0000-0002-9576-7401","affiliations":[{"raw_affiliation_string":"Brunel University London, Uxbridge, U.K","institution_ids":["https://openalex.org/I59433898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062665260","display_name":"Xianye Bu","orcid":"https://orcid.org/0000-0003-4094-8915"},"institutions":[{"id":"https://openalex.org/I921716337","display_name":"Northeast Petroleum University","ror":"https://ror.org/03net5943","country_code":"CN","type":"education","lineage":["https://openalex.org/I921716337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianye Bu","raw_affiliation_strings":["Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control, Northeast Petroleum University, Daqing, China","Institute of Complex Systems and Advanced Control, Northeast Petroleum University, Daqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control, Northeast Petroleum University, Daqing, China","institution_ids":["https://openalex.org/I921716337"]},{"raw_affiliation_string":"Institute of Complex Systems and Advanced Control, Northeast Petroleum University, Daqing, China","institution_ids":["https://openalex.org/I921716337"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.5091,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.96288784,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"31","issue":"9","first_page":"3747","last_page":"3753"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11347","display_name":"Neural Networks Stability and Synchronization","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11347","display_name":"Neural Networks Stability and Synchronization","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9994999766349792,"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/T10320","display_name":"Neural Networks and Applications","score":0.9983000159263611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/passivity","display_name":"Passivity","score":0.7682181596755981},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7421163320541382},{"id":"https://openalex.org/keywords/bernoullis-principle","display_name":"Bernoulli's principle","score":0.6099619269371033},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6055569052696228},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.598984956741333},{"id":"https://openalex.org/keywords/state-estimator","display_name":"State estimator","score":0.5900792479515076},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5669190287590027},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5481893420219421},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5021283626556396},{"id":"https://openalex.org/keywords/discrete-time-and-continuous-time","display_name":"Discrete time and continuous time","score":0.4792214035987854},{"id":"https://openalex.org/keywords/exponential-stability","display_name":"Exponential stability","score":0.4764021933078766},{"id":"https://openalex.org/keywords/bernoulli-distribution","display_name":"Bernoulli distribution","score":0.4572559893131256},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4359990954399109},{"id":"https://openalex.org/keywords/convex-combination","display_name":"Convex combination","score":0.4335228502750397},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.43051931262016296},{"id":"https://openalex.org/keywords/stochastic-neural-network","display_name":"Stochastic neural network","score":0.418100506067276},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.3642615079879761},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.3479909598827362},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.3258638381958008},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.21518564224243164},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2098948061466217},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.16691583395004272},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10631749033927917},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09122449159622192},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08470591902732849},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.06969386339187622}],"concepts":[{"id":"https://openalex.org/C2778809601","wikidata":"https://www.wikidata.org/wiki/Q1045736","display_name":"Passivity","level":2,"score":0.7682181596755981},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7421163320541382},{"id":"https://openalex.org/C152361515","wikidata":"https://www.wikidata.org/wiki/Q181328","display_name":"Bernoulli's principle","level":2,"score":0.6099619269371033},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6055569052696228},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.598984956741333},{"id":"https://openalex.org/C2984536560","wikidata":"https://www.wikidata.org/wiki/Q818544","display_name":"State estimator","level":3,"score":0.5900792479515076},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5669190287590027},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5481893420219421},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5021283626556396},{"id":"https://openalex.org/C55689738","wikidata":"https://www.wikidata.org/wiki/Q15963867","display_name":"Discrete time and continuous time","level":2,"score":0.4792214035987854},{"id":"https://openalex.org/C167964875","wikidata":"https://www.wikidata.org/wiki/Q17011487","display_name":"Exponential stability","level":3,"score":0.4764021933078766},{"id":"https://openalex.org/C27956954","wikidata":"https://www.wikidata.org/wiki/Q391371","display_name":"Bernoulli distribution","level":3,"score":0.4572559893131256},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4359990954399109},{"id":"https://openalex.org/C111110010","wikidata":"https://www.wikidata.org/wiki/Q2627315","display_name":"Convex combination","level":4,"score":0.4335228502750397},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.43051931262016296},{"id":"https://openalex.org/C86582703","wikidata":"https://www.wikidata.org/wiki/Q7617824","display_name":"Stochastic neural network","level":4,"score":0.418100506067276},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.3642615079879761},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.3479909598827362},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.3258638381958008},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.21518564224243164},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2098948061466217},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.16691583395004272},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10631749033927917},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09122449159622192},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08470591902732849},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.06969386339187622},{"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2019.2944552","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2019.2944552","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:31714236","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31714236","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/G1463362488","display_name":null,"funder_award_id":"61873058","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1807432837","display_name":null,"funder_award_id":"61873148","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5251699535","display_name":null,"funder_award_id":"YJSCX2017-026NEPU","funder_id":"https://openalex.org/F4320325743","funder_display_name":"Northeast Petroleum University"},{"id":"https://openalex.org/G5394376767","display_name":null,"funder_award_id":"JYCX_CX06_2018","funder_id":"https://openalex.org/F4320325743","funder_display_name":"Northeast Petroleum University"},{"id":"https://openalex.org/G7520588270","display_name":"\u7f51\u7edc\u653b\u51fb\u60c5\u5f62\u4e0b\u77ff\u5c71\u7269\u7406\u4fe1\u606f\u878d\u5408\u7cfb\u7edf\u7684\u5206\u5e03\u5f0f\u6545\u969c\u8bca\u65ad\u7814\u7a76","funder_award_id":"61933007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8493180358","display_name":null,"funder_award_id":"ZD2019F001","funder_id":"https://openalex.org/F4320323085","funder_display_name":"Natural Science Foundation of Heilongjiang Province"}],"funders":[{"id":"https://openalex.org/F4320308269","display_name":"Alexander von Humboldt-Stiftung","ror":"https://ror.org/012kf4317"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323085","display_name":"Natural Science Foundation of Heilongjiang Province","ror":null},{"id":"https://openalex.org/F4320325743","display_name":"Northeast Petroleum University","ror":"https://ror.org/03net5943"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W313833558","https://openalex.org/W1506119886","https://openalex.org/W2003225025","https://openalex.org/W2052044303","https://openalex.org/W2085553355","https://openalex.org/W2090590502","https://openalex.org/W2112264578","https://openalex.org/W2147945976","https://openalex.org/W2177844363","https://openalex.org/W2214195367","https://openalex.org/W2284707011","https://openalex.org/W2342488082","https://openalex.org/W2521872756","https://openalex.org/W2587034300","https://openalex.org/W2588591728","https://openalex.org/W2751028026","https://openalex.org/W2808659926","https://openalex.org/W2885798443","https://openalex.org/W2887541055","https://openalex.org/W2899294337"],"related_works":["https://openalex.org/W2597933631","https://openalex.org/W2789578346","https://openalex.org/W3206856212","https://openalex.org/W3093940483","https://openalex.org/W1973081322","https://openalex.org/W3182365380","https://openalex.org/W2775198156","https://openalex.org/W2018294084","https://openalex.org/W2808436599","https://openalex.org/W2018628214"],"abstract_inverted_index":{"In":[0,110],"this":[1],"brief,":[2],"the":[3,31,45,55,59,67,74,83,86,91,97,101,112,115,127,130],"partial-neurons-based":[4],"passivity-guaranteed":[5],"state":[6,88],"estimation":[7,92],"(SE)":[8],"problem":[9],"is":[10,51,118,134],"examined":[11],"for":[12,30,82],"a":[13,40,105,122,137],"class":[14],"of":[15,42,58,61,85,114,129],"discrete-time":[16],"artificial":[17],"neural":[18],"networks":[19],"with":[20,104],"randomly":[21],"occurring":[22],"time":[23,62],"delays.":[24,63],"The":[25],"measurement":[26],"outputs":[27],"available":[28,37],"utilized":[29],"SE":[32],"are":[33,80],"allowed":[34],"to":[35,53,66,95],"be":[36],"only":[38],"at":[39],"fraction":[41],"neurons":[43],"in":[44,100],"networks.":[46],"A":[47],"Bernoulli-distributed":[48],"random":[49,56],"variable":[50],"employed":[52],"characterize":[54],"nature":[57],"occurrence":[60],"By":[64],"resorting":[65],"Lyapunov-Krasovskii":[68],"functional":[69],"method":[70],"as":[71,73],"well":[72],"stochastic":[75],"analysis":[76],"technique,":[77],"sufficient":[78],"criteria":[79],"provided":[81],"existence":[84],"desired":[87],"estimators":[89],"ensuring":[90],"error":[93],"dynamics":[94],"achieve":[96],"asymptotic":[98],"stability":[99],"mean":[102],"square":[103],"guaranteed":[106],"passivity":[107],"performance":[108],"level.":[109],"addition,":[111],"parameterization":[113],"estimator":[116],"gain":[117],"acquired":[119],"by":[120],"solving":[121],"convex":[123],"optimization":[124],"problem.":[125],"Finally,":[126],"validity":[128],"obtained":[131],"theoretical":[132],"results":[133],"illustrated":[135],"via":[136],"numerical":[138],"simulation":[139],"example.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":13}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
