{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T06:46:26Z","timestamp":1776408386279,"version":"3.51.2"},"reference-count":33,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100009558","name":"University Natural Science Research Project of Anhui Province","doi-asserted-by":"publisher","award":["2024AH051694"],"award-info":[{"award-number":["2024AH051694"]}],"id":[{"id":"10.13039\/501100009558","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2026,3]]},"DOI":"10.1007\/s00521-026-11866-x","type":"journal-article","created":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T01:21:53Z","timestamp":1773451313000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Global $$\\mu$$-synchronization of stochastic neural networks based on resilient event-triggered mechanism: considering time-varying delay and packet loss"],"prefix":"10.1007","volume":"38","author":[{"given":"Mengyue","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2534-4286","authenticated-orcid":false,"given":"Liangliang","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,3,14]]},"reference":[{"issue":"9","key":"11866_CR1","doi-asserted-by":"publisher","first-page":"1180","DOI":"10.1631\/FITEE.1601814","volume":"19","author":"S Khorashadizadeh","year":"2018","unstructured":"Khorashadizadeh S, Majidi MH (2018) Synchronization of two different chaotic systems using Legendre polynomials with applications in secure communications. Front Inf Technol Electron Eng 19(9):1180\u20131190","journal-title":"Front Inf Technol Electron Eng"},{"key":"11866_CR2","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1016\/j.neunet.2018.03.010","volume":"103","author":"Y Sheng","year":"2018","unstructured":"Sheng Y, Zeng Z (2018) Impulsive synchronization of stochastic reaction-diffusion neural networks with mixed time delays. Neural Netw 103:83\u201393","journal-title":"Neural Netw"},{"issue":"6","key":"11866_CR3","doi-asserted-by":"publisher","first-page":"2414","DOI":"10.1109\/TCYB.2019.2930579","volume":"50","author":"Y Wu","year":"2019","unstructured":"Wu Y, Zhu J, Li W (2019) Intermittent discrete observation control for synchronization of stochastic neural networks. IEEE Trans Cybern 50(6):2414\u20132424","journal-title":"IEEE Trans Cybern"},{"key":"11866_CR4","doi-asserted-by":"publisher","first-page":"477","DOI":"10.1016\/j.neucom.2012.07.013","volume":"99","author":"Q Zhu","year":"2013","unstructured":"Zhu Q, Zhou W, Tong D (2013) Adaptive synchronization for stochastic neural networks of neutral-type with mixed time-delays. Neurocomputing 99:477\u2013485","journal-title":"Neurocomputing"},{"issue":"5","key":"11866_CR5","doi-asserted-by":"publisher","first-page":"583","DOI":"10.1109\/TCYB.2013.2262935","volume":"44","author":"CP Chen","year":"2013","unstructured":"Chen CP, Liu YJ, Wen GX (2013) Fuzzy neural network-based adaptive control for a class of uncertain nonlinear stochastic systems. IEEE Trans Cybern 44(5):583\u2013593","journal-title":"IEEE Trans Cybern"},{"issue":"1","key":"11866_CR6","first-page":"4742515","volume":"2016","author":"J Wang","year":"2016","unstructured":"Wang J, Wang J, Fang W, Niu H (2016) Financial time series prediction using elman recurrent stochastic neural networks. Comput Intell Neurosci 2016(1):4742515","journal-title":"Comput Intell Neurosci"},{"key":"11866_CR7","doi-asserted-by":"crossref","unstructured":"Yu T, Yang Y, Li D, Hospedales T, Xiang T (2021, May). Simple and effective stochastic neural networks. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35, No. 4, pp. 3252-3260)","DOI":"10.1609\/aaai.v35i4.16436"},{"key":"11866_CR8","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1016\/j.apm.2022.07.022","volume":"112","author":"Y Li","year":"2022","unstructured":"Li Y, Lu J, Alofi AS, Lou J (2022) Impulsive cluster synchronization for complex dynamical networks with packet loss and parameters mismatch. Appl Math Model 112:215\u2013223","journal-title":"Appl Math Model"},{"key":"11866_CR9","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1016\/j.neunet.2019.03.016","volume":"116","author":"T Wei","year":"2019","unstructured":"Wei T, Lin P, Wang Y, Wang L (2019) Stability of stochastic impulsive reaction Cdiffusion neural networks with S-type distributed delays and its application to image encryption. Neural Netw 116:35\u201345","journal-title":"Neural Netw"},{"issue":"3","key":"11866_CR10","doi-asserted-by":"publisher","first-page":"509","DOI":"10.15388\/namc.2024.29.34884","volume":"29","author":"X Liang","year":"2024","unstructured":"Liang X, Yang Y, Wang R, Chen J (2024) Synchronization of delayed stochastic reaction Cdiffusion Hopfield neural networks via sliding mode control. Nonlinear Anal Model Control 29(3):509\u2013527","journal-title":"Nonlinear Anal Model Control"},{"key":"11866_CR11","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1016\/j.neunet.2023.04.024","volume":"164","author":"W Yao","year":"2023","unstructured":"Yao W, Wang C, Sun Y, Gong S, Lin H (2023) Event-triggered control for robust exponential synchronization of inertial memristive neural networks under parameter disturbance. Neural Netw 164:67\u201380","journal-title":"Neural Netw"},{"key":"11866_CR12","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2023.126498","volume":"550","author":"X Song","year":"2023","unstructured":"Song X, Wu N, Song S, Zhang Y, Stojanovic V (2023) Bipartite synchronization for cooperative-competitive neural networks with reaction Cdiffusion terms via dual event-triggered mechanism. Neurocomputing 550:126498","journal-title":"Neurocomputing"},{"key":"11866_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.121867","volume":"238","author":"D Xu","year":"2024","unstructured":"Xu D, Hong N, Su H (2024) Quasi-synchronization of stochastic heterogeneous networks via intermittent pinning sampled-data control. Expert Syst Appl 238:121867","journal-title":"Expert Syst Appl"},{"key":"11866_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.chaos.2023.113620","volume":"173","author":"H Fan","year":"2023","unstructured":"Fan H, Xiao Y, Shi K, Wen H, Zhao Y (2023) $$\\mu$$-synchronization of coupled neural networks with hybrid delayed and non-delayed impulsive effects. Chaos Solitons & Fractals 173:113620","journal-title":"Chaos Solitons & Fractals"},{"key":"11866_CR15","doi-asserted-by":"publisher","first-page":"106","DOI":"10.1016\/j.neucom.2018.04.040","volume":"307","author":"B Hu","year":"2018","unstructured":"Hu B, Song Q, Li K, Zhao Z, Liu Y, Alsaadi FE (2018) Global $$\\mu$$-synchronization of impulsive complex-valued neural networks with leakage delay and mixed time-varying delays. Neurocomputing 307:106\u2013116","journal-title":"Neurocomputing"},{"key":"11866_CR16","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1016\/j.neunet.2020.07.004","volume":"131","author":"X Li","year":"2020","unstructured":"Li X, Wang N, Lou J, Lu J (2020) Global $$\\mu$$-synchronization of impulsive pantograph neural networks. Neural Netw 131:78\u201392","journal-title":"Neural Netw"},{"key":"11866_CR17","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2022.127484","volume":"599","author":"H Fan","year":"2022","unstructured":"Fan H, Shi K, Zhao Y (2022) Global $$\\mu$$-synchronization for nonlinear complex networks with unbounded multiple time delays and uncertainties via impulsive control. Physica A 599:127484","journal-title":"Physica A"},{"key":"11866_CR18","doi-asserted-by":"publisher","first-page":"124","DOI":"10.1016\/j.isatra.2023.12.013","volume":"145","author":"W Zhang","year":"2024","unstructured":"Zhang W, Xiao J, Gong B (2024) Global $$\\mu$$-synchronization for coupling delayed complex dynamical networks via event-triggered delayed impulsive control. ISA Trans 145:124\u2013131","journal-title":"ISA Trans"},{"issue":"3","key":"11866_CR19","doi-asserted-by":"publisher","first-page":"542","DOI":"10.1177\/01423312241246588","volume":"47","author":"X Zhai","year":"2024","unstructured":"Zhai X, Wen G, Rahmani A, Ifqir S (2024) Adaptive secure output consensus tracking of linear multi-agent systems via dynamic event-triggered impulsive control under DoS attack. Trans Inst Meas Control 47(3):542\u2013554","journal-title":"Trans Inst Meas Control"},{"issue":"6","key":"11866_CR20","doi-asserted-by":"publisher","first-page":"679","DOI":"10.1049\/cth2.12601","volume":"18","author":"H Li","year":"2024","unstructured":"Li H, Li L, Jiang W (2024) Event-triggered delayed impulsive control for quasi-synchronization of complex dynamic systems with packet loss and parameter mismatch. IET Control Theory & Appl 18(6):679\u2013687","journal-title":"IET Control Theory & Appl"},{"issue":"11","key":"11866_CR21","doi-asserted-by":"publisher","first-page":"5269","DOI":"10.1109\/TCYB.2020.2974315","volume":"51","author":"X Lv","year":"2020","unstructured":"Lv X, Cao J, Li X, Abdel-Aty M, Al-Juboori UA (2020) Synchronization analysis for complex dynamical networks with coupling delay via event-triggered delayed impulsive control. IEEE Trans Cybern 51(11):5269\u20135278","journal-title":"IEEE Trans Cybern"},{"issue":"1","key":"11866_CR22","doi-asserted-by":"publisher","first-page":"471","DOI":"10.1109\/TSMC.2023.3312520","volume":"54","author":"Y Bao","year":"2023","unstructured":"Bao Y, Zhao D, Sun J, Wen G, Yang T (2023) Resilient synchronization of neural networks under DoS attacks and communication delays via event-triggered impulsive control. IEEE Trans Syst Man Cybern Syst 54(1):471\u2013483","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"issue":"1","key":"11866_CR23","doi-asserted-by":"publisher","first-page":"1114","DOI":"10.1109\/JSYST.2021.3066540","volume":"16","author":"N Zhao","year":"2021","unstructured":"Zhao N, Shi P, Xing W, Agarwal RK (2021) Resilient event-triggered control for networked cascade control systems under denial-of-service attacks and actuator saturation. IEEE Syst J 16(1):1114\u20131122","journal-title":"IEEE Syst J"},{"issue":"10","key":"11866_CR24","doi-asserted-by":"publisher","first-page":"4359","DOI":"10.1109\/TFUZZ.2022.3148875","volume":"30","author":"Y Pan","year":"2022","unstructured":"Pan Y, Wu Y, Lam HK (2022) Security-based fuzzy control for nonlinear networked control systems with DoS attacks via a resilient event-triggered scheme. IEEE Trans Fuzzy Syst 30(10):4359\u20134368","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"7","key":"11866_CR25","doi-asserted-by":"publisher","first-page":"4054","DOI":"10.1109\/TSMC.2024.3377213","volume":"54","author":"X Chen","year":"2024","unstructured":"Chen X, Hu S, Yang T, Xie X, Qiu J (2024) Event-triggered bipartite consensus of multiagent systems with input saturation and DoS attacks over weighted directed networks. IEEE Trans Syst Man Cybern Syst 54(7):4054\u20134065","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"key":"11866_CR26","doi-asserted-by":"publisher","DOI":"10.1063\/5.0235716","volume":"35","author":"X Chen","year":"2025","unstructured":"Chen X, Feng JE, Xu W, Cao J, Qiu J (2025) Evolution modeling and control of networked dynamic games with event-triggering mechanism. Chaos An Interdisciplinary J Nonlinear Sci 35:013102","journal-title":"Chaos An Interdisciplinary J Nonlinear Sci"},{"issue":"10","key":"11866_CR27","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1142\/S0129183124420063","volume":"36","author":"Y Wu","year":"2025","unstructured":"Wu Y, Chen X, Wang C, Feng JE, Zhao F (2025) Network-based modeling and control of hybrid dynamic games with fixed event triggering mechanism. Int J Mod Phys C 36(10):1\u201311","journal-title":"Int J Mod Phys C"},{"issue":"36","key":"11866_CR28","doi-asserted-by":"publisher","first-page":"3259","DOI":"10.1016\/j.physleta.2009.07.013","volume":"373","author":"X Yang","year":"2009","unstructured":"Yang X, Cao J (2009) Stochastic synchronization of coupled neural networks with intermittent control. Phys Lett A 373(36):3259\u20133272","journal-title":"Phys Lett A"},{"key":"11866_CR29","doi-asserted-by":"publisher","first-page":"223","DOI":"10.1016\/j.neunet.2021.03.011","volume":"139","author":"G Ling","year":"2021","unstructured":"Ling G, Ge MF, Liu X, Xiao G, Fan Q (2021) Stochastic quasi-synchronization of heterogeneous delayed impulsive dynamical networks via single impulsive control. Neural Netw 139:223\u2013236","journal-title":"Neural Netw"},{"issue":"9","key":"11866_CR30","doi-asserted-by":"publisher","first-page":"4043","DOI":"10.1109\/TCYB.2019.2938217","volume":"50","author":"X Yang","year":"2019","unstructured":"Yang X, Li X, Lu J, Cheng Z (2019) Synchronization of time-delayed complex networks with switching topology via hybrid actuator fault and impulsive effects control. IEEE Trans Cybern 50(9):4043\u20134052","journal-title":"IEEE Trans Cybern"},{"issue":"3","key":"11866_CR31","doi-asserted-by":"publisher","first-page":"974","DOI":"10.1016\/j.jfranklin.2014.10.004","volume":"352","author":"FL Qu","year":"2015","unstructured":"Qu FL, Guan ZH, He DX, Chi M (2015) Event-triggered control for networked control systems with quantization and packet losses. J Franklin Inst 352(3):974\u2013986","journal-title":"J Franklin Inst"},{"issue":"3","key":"11866_CR32","doi-asserted-by":"publisher","first-page":"414","DOI":"10.1109\/JSEE.2012.00052","volume":"23","author":"X Zhao","year":"2012","unstructured":"Zhao X, Fei S, Lin J (2012) Impulsive controller design for nonlinear networked control systems with time delay and packet dropouts. J Syst Eng Electron 23(3):414\u2013418","journal-title":"J Syst Eng Electron"},{"key":"11866_CR33","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2020.124727","volume":"555","author":"X Cai","year":"2020","unstructured":"Cai X, Zhong S, Wang J, Shi K (2020) New stability results for delayed neural networks with data packet dropouts. Physica A 555:124727","journal-title":"Physica A"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-026-11866-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-026-11866-x","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-026-11866-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T05:50:01Z","timestamp":1776405001000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-026-11866-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3]]},"references-count":33,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2026,3]]}},"alternative-id":["11866"],"URL":"https:\/\/doi.org\/10.1007\/s00521-026-11866-x","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3]]},"assertion":[{"value":"7 April 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 January 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 March 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no Conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"154"}}