{"id":"https://openalex.org/W3092161106","doi":"https://doi.org/10.1109/tnnls.2020.3027252","title":"A Partial-Node-Based Approach to State Estimation for Complex Networks With Sensor Saturations Under Random Access Protocol","display_name":"A Partial-Node-Based Approach to State Estimation for Complex Networks With Sensor Saturations Under Random Access Protocol","publication_year":2020,"publication_date":"2020-10-13","ids":{"openalex":"https://openalex.org/W3092161106","doi":"https://doi.org/10.1109/tnnls.2020.3027252","mag":"3092161106","pmid":"https://pubmed.ncbi.nlm.nih.gov/33048757"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2020.3027252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.3027252","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/A5022255518","display_name":"Nan Hou","orcid":"https://orcid.org/0000-0002-3827-2357"},"institutions":[{"id":"https://openalex.org/I4210094970","display_name":"Energy Research Institute","ror":"https://ror.org/00ndnb620","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094970","https://openalex.org/I4210142748"]},{"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":"Nan Hou","raw_affiliation_strings":["Artificial Intelligence Energy Research Institute, Northeast Petroleum University, Daqing, China","Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control, Northeast Petroleum University, Daqing, China"],"raw_orcid":"https://orcid.org/0000-0002-3827-2357","affiliations":[{"raw_affiliation_string":"Artificial Intelligence Energy Research Institute, Northeast Petroleum University, Daqing, China","institution_ids":["https://openalex.org/I4210094970","https://openalex.org/I921716337"]},{"raw_affiliation_string":"Heilongjiang Provincial Key Laboratory of Networking and Intelligent 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/I4210094970","display_name":"Energy Research Institute","ror":"https://ror.org/00ndnb620","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094970","https://openalex.org/I4210142748"]},{"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":["Artificial Intelligence Energy Research Institute, Northeast Petroleum University, Daqing, China","Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control, Northeast Petroleum University, Daqing, China"],"raw_orcid":"https://orcid.org/0000-0001-8531-6757","affiliations":[{"raw_affiliation_string":"Artificial Intelligence Energy Research Institute, Northeast Petroleum University, Daqing, China","institution_ids":["https://openalex.org/I4210094970","https://openalex.org/I921716337"]},{"raw_affiliation_string":"Heilongjiang Provincial Key Laboratory of Networking and Intelligent 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":["Department of Computer Science, Brunel University London, Uxbridge, U.K"],"raw_orcid":"https://orcid.org/0000-0002-9576-7401","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Brunel University London, Uxbridge, U.K","institution_ids":["https://openalex.org/I59433898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100783255","display_name":"Hongjian Liu","orcid":"https://orcid.org/0000-0001-6471-5089"},"institutions":[{"id":"https://openalex.org/I70908550","display_name":"Anhui Polytechnic University","ror":"https://ror.org/041sj0284","country_code":"CN","type":"education","lineage":["https://openalex.org/I70908550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjian Liu","raw_affiliation_strings":["Key Laboratory of Advanced Perception and Intelligent Control of High-End Equipment, Ministry of Education, Anhui Polytechnic University, Wuhu, China","School of Mathematics and Physics, Anhui Polytechnic University, Wuhu, China"],"raw_orcid":"https://orcid.org/0000-0001-6471-5089","affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Perception and Intelligent Control of High-End Equipment, Ministry of Education, Anhui Polytechnic University, Wuhu, China","institution_ids":["https://openalex.org/I70908550"]},{"raw_affiliation_string":"School of Mathematics and Physics, Anhui Polytechnic University, Wuhu, China","institution_ids":["https://openalex.org/I70908550"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.2208,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.921009,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"32","issue":"11","first_page":"5167","last_page":"5178"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9973999857902527,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9973999857902527,"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/T11347","display_name":"Neural Networks Stability and Synchronization","score":0.9970999956130981,"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9962999820709229,"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/estimator","display_name":"Estimator","score":0.7791873216629028},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.6248863339424133},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5597187280654907},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5534133911132812},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.5132732391357422},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5083603262901306},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4822900593280792},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.4253900647163391},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38087499141693115},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36874085664749146},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.34647977352142334},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10970693826675415},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1081453263759613},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08156633377075195},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.07285216450691223}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7791873216629028},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.6248863339424133},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5597187280654907},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5534133911132812},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.5132732391357422},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5083603262901306},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4822900593280792},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.4253900647163391},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38087499141693115},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36874085664749146},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.34647977352142334},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10970693826675415},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1081453263759613},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08156633377075195},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.07285216450691223},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2020.3027252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.3027252","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:33048757","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33048757","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/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/G2302745860","display_name":null,"funder_award_id":"F2018004","funder_id":"https://openalex.org/F4320323085","funder_display_name":"Natural Science Foundation of Heilongjiang Province"},{"id":"https://openalex.org/G3875882596","display_name":null,"funder_award_id":"2017M621242","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G4818213034","display_name":null,"funder_award_id":"Grant 61873058","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6486049634","display_name":null,"funder_award_id":"61873148, Grant 61873058, and Grant 61933007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7153578375","display_name":null,"funder_award_id":"2018D-5007-0302","funder_id":"https://openalex.org/F4320334987","funder_display_name":"PetroChina Innovation Foundation"},{"id":"https://openalex.org/G7904660948","display_name":null,"funder_award_id":"and Grant 61933007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320323085","display_name":"Natural Science Foundation of Heilongjiang Province","ror":null},{"id":"https://openalex.org/F4320334987","display_name":"PetroChina Innovation Foundation","ror":"https://ror.org/05269d038"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W1975569524","https://openalex.org/W2017878009","https://openalex.org/W2070722739","https://openalex.org/W2124953625","https://openalex.org/W2126022731","https://openalex.org/W2162159626","https://openalex.org/W2243371315","https://openalex.org/W2319428271","https://openalex.org/W2343963991","https://openalex.org/W2345172184","https://openalex.org/W2553895376","https://openalex.org/W2562251562","https://openalex.org/W2566133870","https://openalex.org/W2569615227","https://openalex.org/W2592532861","https://openalex.org/W2592951504","https://openalex.org/W2598378889","https://openalex.org/W2613261631","https://openalex.org/W2618946976","https://openalex.org/W2626690202","https://openalex.org/W2736929340","https://openalex.org/W2738765409","https://openalex.org/W2741726466","https://openalex.org/W2751028026","https://openalex.org/W2765674905","https://openalex.org/W2769827238","https://openalex.org/W2782153856","https://openalex.org/W2786021835","https://openalex.org/W2791785383","https://openalex.org/W2792348268","https://openalex.org/W2792353650","https://openalex.org/W2801832507","https://openalex.org/W2802909619","https://openalex.org/W2811086794","https://openalex.org/W2884195869","https://openalex.org/W2901501692","https://openalex.org/W2907039237","https://openalex.org/W2908142178","https://openalex.org/W2908585064","https://openalex.org/W2911481965","https://openalex.org/W2925438923","https://openalex.org/W2948178128","https://openalex.org/W2965262292","https://openalex.org/W2966766277","https://openalex.org/W2970144961","https://openalex.org/W2984128301","https://openalex.org/W2984987324","https://openalex.org/W2985635527","https://openalex.org/W2986194823","https://openalex.org/W2990677997","https://openalex.org/W2996649902","https://openalex.org/W3000218989","https://openalex.org/W3000949301","https://openalex.org/W3004811186","https://openalex.org/W3010790617","https://openalex.org/W3012031616","https://openalex.org/W3026667032","https://openalex.org/W3026912802","https://openalex.org/W3044539706","https://openalex.org/W3081191606","https://openalex.org/W6738884980","https://openalex.org/W6751562504","https://openalex.org/W6755189595","https://openalex.org/W6775318307"],"related_works":["https://openalex.org/W2051058708","https://openalex.org/W1494268238","https://openalex.org/W154868527","https://openalex.org/W1983207144","https://openalex.org/W2490706771","https://openalex.org/W2480116122","https://openalex.org/W4255576661","https://openalex.org/W1516574938","https://openalex.org/W2625725254","https://openalex.org/W2563912921"],"abstract_inverted_index":{"In":[0],"this":[1],"article,":[2],"the":[3,20,62,77,92,108,117,121,130,135,151,187],"robust":[4,101],"finite-horizon":[5],"state":[6,102,164,189],"estimation":[7,131,190],"problem":[8,94],"is":[9,73,95,192],"investigated":[10],"for":[11,150],"a":[12,30,86,98,125,195],"class":[13],"of":[14,32,55,65,91,100,107,153,186],"time-varying":[15,155],"complex":[16],"networks":[17],"(CNs)":[18],"under":[19,120],"random":[21,56,63],"access":[22],"protocol":[23],"(RAP)":[24],"through":[25],"available":[26,109],"measurements":[27,110],"from":[28,111],"only":[29],"part":[31],"network":[33,113,118],"nodes.":[34],"The":[35,71,89,172,184],"underlying":[36],"CNs":[37],"are":[38,58,148,175],"subject":[39],"to":[40,60,75,96,115],"randomly":[41,44],"occurring":[42,45],"uncertainties,":[43],"multiple":[46,69],"delays,":[47],"as":[48,50],"well":[49],"sensor":[51],"saturations.":[52],"Several":[53],"sequences":[54],"variables":[57],"employed":[59],"characterize":[61],"occurrences":[64],"parameter":[66],"uncertainties":[67],"and":[68,123,169],"delays.":[70],"RAP":[72,122],"adopted":[74],"orchestrate":[76],"data":[78],"transmission":[79],"at":[80],"each":[81],"time":[82],"step":[83],"based":[84],"on":[85],"Markov":[87],"chain.":[88],"aim":[90],"addressed":[93],"design":[97],"series":[99],"estimators":[103,165,174],"that":[104,129],"make":[105],"use":[106],"partial":[112],"nodes":[114],"estimate":[116],"states,":[119],"over":[124],"finite":[126],"horizon,":[127],"such":[128,154],"error":[132],"dynamics":[133],"achieves":[134],"prescribed":[136],"<inline-formula":[137,157],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[138,158],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[139,159],"<tex-math":[140,160],"notation=\"LaTeX\">$H_{\\infty":[141,161],"}$":[142,162],"</tex-math></inline-formula>":[143,163],"performance":[144],"requirement.":[145],"Sufficient":[146],"conditions":[147],"provided":[149],"existence":[152],"partial-node-based":[156],"via":[166,194],"stochastic":[167],"analysis":[168],"matrix":[170,182],"operations.":[171],"desired":[173],"parameterized":[176],"by":[177],"solving":[178],"certain":[179],"recursive":[180],"linear":[181],"inequalities.":[183],"effectiveness":[185],"proposed":[188],"algorithm":[191],"demonstrated":[193],"simulation":[196],"example.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":6}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
