{"id":"https://openalex.org/W4308681041","doi":"https://doi.org/10.1109/tcyb.2022.3218330","title":"Event-Based Remote State Estimation for Nonlinear Systems: A Box Particle Filtering Method","display_name":"Event-Based Remote State Estimation for Nonlinear Systems: A Box Particle Filtering Method","publication_year":2022,"publication_date":"2022-11-10","ids":{"openalex":"https://openalex.org/W4308681041","doi":"https://doi.org/10.1109/tcyb.2022.3218330","pmid":"https://pubmed.ncbi.nlm.nih.gov/36355724"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2022.3218330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2022.3218330","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","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/A5015343493","display_name":"Cuihua Zhang","orcid":"https://orcid.org/0000-0003-2275-4578"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]},{"id":"https://openalex.org/I4210128819","display_name":"Institute of Electrical Engineering","ror":"https://ror.org/033js6g46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128819"]},{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cui-Hua Zhang","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China","Department of Automation, Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Department of Automation, Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907","https://openalex.org/I4210128819"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031737874","display_name":"Guang\u2010Hong Yang","orcid":"https://orcid.org/0000-0002-8911-0112"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]},{"id":"https://openalex.org/I4391767858","display_name":"State Key Laboratory of Synthetical Automation for Process Industries","ror":"https://ror.org/0380ng272","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767858","https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guang-Hong Yang","raw_affiliation_strings":["College of Information Science and Engineering and the State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering and the State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756","https://openalex.org/I4391767858"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5015343493"],"corresponding_institution_ids":["https://openalex.org/I39333907","https://openalex.org/I4210128819","https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":1.0606,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.80933352,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"54","issue":"4","first_page":"2472","last_page":"2482"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9998000264167786,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9998000264167786,"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":0.9991999864578247,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9979000091552734,"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/particle-filter","display_name":"Particle filter","score":0.7118178606033325},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6342728137969971},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6240000128746033},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6147235631942749},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5998324155807495},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5728957056999207},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5698876976966858},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.45632222294807434},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4383343458175659},{"id":"https://openalex.org/keywords/minimum-mean-square-error","display_name":"Minimum mean square error","score":0.4157341718673706},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.28374555706977844},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2549673914909363},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19861885905265808},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.186915785074234}],"concepts":[{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.7118178606033325},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6342728137969971},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6240000128746033},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6147235631942749},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5998324155807495},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5728957056999207},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5698876976966858},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.45632222294807434},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4383343458175659},{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.4157341718673706},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.28374555706977844},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2549673914909363},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19861885905265808},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.186915785074234},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2022.3218330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2022.3218330","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:36355724","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36355724","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 cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1530245929","display_name":null,"funder_award_id":"62203377","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6507692090","display_name":null,"funder_award_id":"2018ZCX03","funder_id":"https://openalex.org/F4320335661","funder_display_name":"State Key Laboratory of Synthetical Automation for Process Industries"},{"id":"https://openalex.org/G7100764072","display_name":null,"funder_award_id":"F2022203097","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"},{"id":"https://openalex.org/G8086002158","display_name":null,"funder_award_id":"61621004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G880789604","display_name":null,"funder_award_id":"61420106016","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/F4320322163","display_name":"Natural Science Foundation of Hebei Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335661","display_name":"State Key Laboratory of Synthetical Automation for Process Industries","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1485064552","https://openalex.org/W1531532259","https://openalex.org/W1572326640","https://openalex.org/W1981364618","https://openalex.org/W1999325087","https://openalex.org/W2040196349","https://openalex.org/W2042277943","https://openalex.org/W2049650637","https://openalex.org/W2075111064","https://openalex.org/W2098613108","https://openalex.org/W2102643044","https://openalex.org/W2105934661","https://openalex.org/W2119539043","https://openalex.org/W2122512809","https://openalex.org/W2125794835","https://openalex.org/W2133527019","https://openalex.org/W2160337655","https://openalex.org/W2164522996","https://openalex.org/W2165519686","https://openalex.org/W2533632544","https://openalex.org/W2800439561","https://openalex.org/W2803957777","https://openalex.org/W2911673437","https://openalex.org/W2920808440","https://openalex.org/W2921545263","https://openalex.org/W2925438923","https://openalex.org/W2979301257","https://openalex.org/W3008127698","https://openalex.org/W3013595725","https://openalex.org/W3035109181","https://openalex.org/W3082196220","https://openalex.org/W3089274412","https://openalex.org/W3091274370","https://openalex.org/W3120171397","https://openalex.org/W3131715393","https://openalex.org/W3133557228","https://openalex.org/W3146711799","https://openalex.org/W3156746875","https://openalex.org/W3188165017","https://openalex.org/W3213262283","https://openalex.org/W4285125850","https://openalex.org/W4286429205"],"related_works":["https://openalex.org/W4287880334","https://openalex.org/W4366700029","https://openalex.org/W1999706086","https://openalex.org/W2521753262","https://openalex.org/W2585209928","https://openalex.org/W2075897667","https://openalex.org/W3125536267","https://openalex.org/W2274645452","https://openalex.org/W2907746047","https://openalex.org/W2949310342"],"abstract_inverted_index":{"This":[0],"article":[1],"is":[2,31,47],"concerned":[3],"with":[4,19],"the":[5,35,51,57,63,73,76,81,89,92,104,108,112,123,126],"problem":[6,82],"of":[7,75,83,110,125],"event-based":[8],"remote":[9,58],"state":[10],"estimation":[11,55,85,113],"for":[12],"nonlinear/non-Gaussian":[13],"systems":[14],"on":[15,39,98],"a":[16,27],"wireless":[17],"network":[18],"limited":[20],"bandwidth.":[21],"To":[22],"reduce":[23],"unnecessary":[24],"data":[25],"transmissions,":[26],"novel":[28],"event-triggering":[29],"mechanism":[30],"developed":[32],"by":[33],"using":[34],"least-square":[36],"technique.":[37],"Based":[38],"this,":[40],"an":[41],"event-triggered":[42,77],"box":[43],"particle":[44],"filtering":[45],"scheme":[46],"designed":[48],"to":[49,72,79,121],"realize":[50],"minimum":[52],"mean-squared":[53],"error":[54],"at":[56],"estimator":[59],"end,":[60],"in":[61],"which":[62],"posterior":[64],"probability":[65],"density":[66],"functions":[67],"are":[68,119],"calculated":[69],"separately":[70],"according":[71],"information":[74],"indicator":[78],"avoid":[80],"excessive":[84],"error.":[86],"Different":[87],"from":[88],"existing":[90],"approaches,":[91],"proposed":[93,127],"algorithm":[94],"does":[95],"not":[96],"depend":[97],"any":[99],"Gaussian":[100],"assumptions":[101],"and":[102],"reduces":[103],"computational":[105],"complexity":[106],"under":[107],"premise":[109],"ensuring":[111],"performance.":[114],"Finally,":[115],"two":[116],"simulation":[117],"examples":[118],"performed":[120],"demonstrate":[122],"validity":[124],"algorithm.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
