{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T22:15:01Z","timestamp":1784240101028,"version":"3.55.0"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["12161011"],"award-info":[{"award-number":["12161011"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62173100"],"award-info":[{"award-number":["62173100"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004607","name":"National Natural Science Foundation of Guangxi Province","doi-asserted-by":"publisher","award":["2020GXNSFAA159049"],"award-info":[{"award-number":["2020GXNSFAA159049"]}],"id":[{"id":"10.13039\/501100004607","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004607","name":"National Natural Science Foundation of Guangxi Province","doi-asserted-by":"publisher","award":["2020GXNSFFA297003"],"award-info":[{"award-number":["2020GXNSFFA297003"]}],"id":[{"id":"10.13039\/501100004607","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guangxi Science and Technology Base and Specialized Talents","award":["Guike AD20159057"],"award-info":[{"award-number":["Guike AD20159057"]}]},{"name":"Science and Technology Project of Guangxi","award":["2021AC06001"],"award-info":[{"award-number":["2021AC06001"]}]},{"name":"Training Program for 1000 Young and Middle-Aged Cadre Teachers in Universities of Guangxi Province"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2023,11]]},"DOI":"10.1109\/tnnls.2022.3155149","type":"journal-article","created":{"date-parts":[[2022,3,10]],"date-time":"2022-03-10T15:21:42Z","timestamp":1646925702000},"page":"9004-9015","source":"Crossref","is-referenced-by-count":25,"title":["Asynchronous Fault Detection for Memristive Neural Networks With Dwell-Time-Based Communication Protocol"],"prefix":"10.1109","volume":"34","author":[{"given":"An","family":"Lin","sequence":"first","affiliation":[{"name":"School of Mathematics and Statistics, Guangxi Normal University, Guilin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3483-747X","authenticated-orcid":false,"given":"Jun","family":"Cheng","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Guangxi Normal University, Guilin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6960-9525","authenticated-orcid":false,"given":"Leszek","family":"Rutkowski","sequence":"additional","affiliation":[{"name":"Institute of Computer Science, AGH University of Science and Technology, Kraków, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5048-0319","authenticated-orcid":false,"given":"Shiping","family":"Wen","sequence":"additional","affiliation":[{"name":"Faculty of Engineering and Information Technology, University of Technology at Sydney, Sydney, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mengzhuo","family":"Luo","sequence":"additional","affiliation":[{"name":"College of Science, Guilin University of Technology, Guilin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3133-7119","authenticated-orcid":false,"given":"Jinde","family":"Cao","sequence":"additional","affiliation":[{"name":"School of Mathematics, Southeast University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"crossref","first-page":"1314","DOI":"10.1109\/TSMCB.2008.925745","article-title":"Synchronization and state estimation for discrete-time complex networks with distributed delays","volume":"38","author":"liu","year":"2008","journal-title":"IEEE Trans Syst Man Cybern B Cybern"},{"key":"ref35","article-title":"Resilient asynchronous state estimation for Markovian jump neural networks subject to stochastic nonlinearities and sensor saturations","author":"xu","year":"2021","journal-title":"IEEE Trans Cybern"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2874035"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2010.03.007"},{"key":"ref15","article-title":"Resilient $H_{\\infty}$ state estimation for discrete-time stochastic delayed memristive neural networks: A dynamic event-triggered mechanism","author":"liu","year":"2020","journal-title":"IEEE Trans Cybern"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2021.3076132"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2009.2033599"},{"key":"ref36","article-title":"Ultimate boundedness control for networked singularly perturbed systems with deception attacks: A Markovian communication protocol approach","author":"cheng","year":"2021","journal-title":"IEEE Trans Netw Sci Eng"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2018.2867340"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2017.2713353"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.07.068"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2020.2972785"},{"key":"ref10","article-title":"Periodic event-triggered synchronization for discrete-time complex dynamical networks","author":"ding","year":"2021","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.nahs.2020.100901"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/nature06932"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TCT.1971.1083337"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2021.3117694"},{"key":"ref39","doi-asserted-by":"crossref","first-page":"3726","DOI":"10.1109\/TNNLS.2017.2728639","article-title":"Event-triggered $H_{\\infty}$ state estimation for delayed stochastic memristive neural networks with missing measurements: The discrete time case","volume":"29","author":"liu","year":"2017","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref16","article-title":"Event-triggered fault detection filter design for discrete-time memristive neural networks with time delays","author":"lin","year":"2020","journal-title":"IEEE Trans Cybern"},{"key":"ref38","article-title":"Stochastic event-triggered $H_{\\infty}$ control for networked systems under denial of service attacks","author":"peng","year":"2021","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-019-2714-7"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2021.3076890"},{"key":"ref24","article-title":"Adaptive fuzzy SOSM controller design with output constraints","author":"ding","year":"2021","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2013.2278955"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1137\/20M1317037"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2511196"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2008.2007498"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611970777"},{"key":"ref41","article-title":"Static output feedback quantized control for fuzzy Markovian switching singularly perturbed systems with deception attacks","author":"cheng","year":"2021","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2009.07.020"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2755864"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.2966083"},{"key":"ref28","article-title":"Event-triggered approximate optimal path-following control for unmanned surface vehicles with state constraints","author":"zhou","year":"2021","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2021.109515"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2827037"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2021.08.004"},{"key":"ref7","article-title":"Non-fragile $H_{\\infty}$ synchronization for Markov jump singularly perturbed coupled neural networks subject to double-layer switching regulation","author":"shen","year":"2021","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2020.3035173"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.3004894"},{"key":"ref3","article-title":"Reachable set estimation of delayed Markovian jump neural networks based on an improved reciprocally convex inequality","author":"tan","year":"2021","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref6","article-title":"Proportional-integral state estimator for quaternion-valued neural networks with time-varying delays","author":"tan","year":"2021","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref5","article-title":"Stability analysis of delayed recurrent neural networks via a quadratic matrix convex combination approach","author":"xiao","year":"2021","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.2969377"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/10299535\/09732697.pdf?arnumber=9732697","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T21:50:57Z","timestamp":1784238657000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9732697\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11]]},"references-count":43,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2022.3155149","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,11]]}}}