{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T05:56:55Z","timestamp":1777874215493,"version":"3.51.4"},"reference-count":49,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/100020593","name":"Fundamental Research Funds for the Central Universities of Beijing University of Chemical Technology","doi-asserted-by":"publisher","award":["ZY2511"],"award-info":[{"award-number":["ZY2511"]}],"id":[{"id":"10.13039\/100020593","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000038","name":"Natural Sciences and Engineering Research Council of Canada","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["12501610"],"award-info":[{"award-number":["12501610"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Neurocomputing"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1016\/j.neucom.2026.133576","type":"journal-article","created":{"date-parts":[[2026,4,6]],"date-time":"2026-04-06T06:14:02Z","timestamp":1775456042000},"page":"133576","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Finite-time synchronization of complex-valued neural networks via hybrid impulsive control with distributed delays"],"prefix":"10.1016","volume":"685","author":[{"given":"Yuan","family":"Shen","sequence":"first","affiliation":[]},{"given":"Xinzhi","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Wei","family":"Li","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"7","key":"10.1016\/j.neucom.2026.133576_bib0005","doi-asserted-by":"crossref","first-page":"881","DOI":"10.1016\/j.neunet.2010.05.001","article-title":"Experimental demonstration of associative memory with memristive neural networks","volume":"23","author":"Pershin","year":"2010","journal-title":"Neural Netw."},{"issue":"5","key":"10.1016\/j.neucom.2026.133576_bib0010","doi-asserted-by":"crossref","first-page":"449","DOI":"10.1007\/BF02457822","article-title":"Review of neural network applications in medical imaging and signal processing, MED","volume":"30","author":"Miller","year":"1992","journal-title":"Biol. Eng. Comput."},{"issue":"3","key":"10.1016\/j.neucom.2026.133576_bib0015","doi-asserted-by":"crossref","first-page":"734","DOI":"10.1109\/72.846744","article-title":"Pattern recognition via synchronization in phase-locked loop neural networks","volume":"11","author":"Hoppensteadt","year":"2000","journal-title":"IEEE Trans. Neural Netw."},{"key":"10.1016\/j.neucom.2026.133576_bib0020","doi-asserted-by":"crossref","first-page":"344","DOI":"10.1109\/LSP.2021.3054315","article-title":"Pruning by training: a novel deep neural network compression framework for image processing","volume":"28","author":"Tian","year":"2021","journal-title":"IEEE Signal Process. Lett."},{"issue":"1","key":"10.1016\/j.neucom.2026.133576_bib0025","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1109\/TNNLS.2016.2619345","article-title":"Synchronization of an inertial neural network with time-varying delays and its application to secure communication","volume":"29","author":"Lakshmanan","year":"2016","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"1","key":"10.1016\/j.neucom.2026.133576_bib0030","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1142\/S0218127402004292","article-title":"Synchronization in small-world dynamical networks","volume":"12","author":"Wang","year":"2002","journal-title":"Int. J. Bifurcation Chaos"},{"issue":"8","key":"10.1016\/j.neucom.2026.133576_bib0035","doi-asserted-by":"crossref","first-page":"2388","DOI":"10.1109\/TFUZZ.2020.2999746","article-title":"Singularity-free fixed-time fuzzy control for robotic systems with user-defined performance","volume":"29","author":"Pan","year":"2020","journal-title":"IEEE Trans. Fuzzy Syst."},{"issue":"8","key":"10.1016\/j.neucom.2026.133576_bib0040","doi-asserted-by":"crossref","first-page":"821","DOI":"10.1103\/PhysRevLett.64.821","article-title":"Synchronization in chaotic systems","volume":"64","author":"Pecora","year":"1990","journal-title":"Phys. Rev. Lett."},{"issue":"1\u20133","key":"10.1016\/j.neucom.2026.133576_bib0045","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1016\/j.neucom.2010.03.020","article-title":"Exponential synchronization of neural networks with time-varying mixed delays and sampled-data","volume":"74","author":"Zhang","year":"2010","journal-title":"Neurocomputing"},{"key":"10.1016\/j.neucom.2026.133576_bib0050","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.neunet.2015.08.002","article-title":"Synchronization of neural networks with stochastic perturbation via aperiodically intermittent control","volume":"71","author":"Zhang","year":"2015","journal-title":"Neural Netw."},{"issue":"10","key":"10.1016\/j.neucom.2026.133576_bib0055","doi-asserted-by":"crossref","first-page":"2334","DOI":"10.1109\/TNNLS.2016.2580609","article-title":"Synchronization of switched neural networks with communication delays via the event-triggered control","volume":"28","author":"Wen","year":"2016","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"8","key":"10.1016\/j.neucom.2026.133576_bib0060","doi-asserted-by":"crossref","first-page":"8246","DOI":"10.1109\/TCYB.2021.3049858","article-title":"Synchronization of neural networks via periodic self-triggered impulsive control and its application in image encryption","volume":"52","author":"Tan","year":"2021","journal-title":"IEEE T. Cybern."},{"issue":"11","key":"10.1016\/j.neucom.2026.133576_bib0065","doi-asserted-by":"crossref","first-page":"15517","DOI":"10.1109\/TNNLS.2023.3287997","article-title":"Stabilization and synchronization of neural networks via impulsive adaptive control","volume":"35","author":"Tan","year":"2023","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"10.1016\/j.neucom.2026.133576_bib0070","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1016\/j.neucom.2014.06.016","article-title":"Finite-time synchronization of delayed neural networks with Cohen\u2013Grossberg type based on delayed feedback control","volume":"143","author":"Hu","year":"2014","journal-title":"Neurocomputing"},{"issue":"10","key":"10.1016\/j.neucom.2026.133576_bib0075","doi-asserted-by":"crossref","first-page":"5268","DOI":"10.1109\/TNNLS.2021.3069926","article-title":"Finite-time synchronization of markovian coupled neural networks with delays via intermittent quantized control: linear programming approach","volume":"33","author":"Tang","year":"2021","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"1","key":"10.1016\/j.neucom.2026.133576_bib0080","first-page":"226","article-title":"Robust finite-time synchronization of recurrent neural networks via saturated control","volume":"70","author":"Wu","year":"2022","journal-title":"IEEE Trans. Circuits Syst. II-Express Briefs"},{"issue":"10","key":"10.1016\/j.neucom.2026.133576_bib0085","doi-asserted-by":"crossref","first-page":"3423","DOI":"10.1109\/TFUZZ.2023.3257100","article-title":"Finite-time synchronization of fractional-order fuzzy time-varying coupled neural networks subject to reaction\u2013diffusion","volume":"31","author":"Xu","year":"2023","journal-title":"IEEE Trans. Fuzzy Syst."},{"issue":"9","key":"10.1016\/j.neucom.2026.133576_bib0090","doi-asserted-by":"crossref","first-page":"5045","DOI":"10.1109\/TNNLS.2021.3068734","article-title":"Finite-time synchronization of reaction-diffusion inertial memristive neural networks via gain-scheduled pinning control","volume":"33","author":"Song","year":"2021","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"10.1016\/j.neucom.2026.133576_bib0095","doi-asserted-by":"crossref","DOI":"10.1016\/j.neucom.2024.128612","article-title":"Finite-time synchronization of proportional delay memristive competitive neural networks","volume":"610","author":"Han","year":"2024","journal-title":"Neurocomputing"},{"issue":"2","key":"10.1016\/j.neucom.2026.133576_bib0100","doi-asserted-by":"crossref","first-page":"820","DOI":"10.1109\/TNSE.2021.3137255","article-title":"Synchronization of coupled stochastic reaction-diffusion neural networks with multiple weights and delays via pinning impulsive control","volume":"9","author":"Cao","year":"2022","journal-title":"IEEE Trans. Netw. Sci. Eng."},{"issue":"7","key":"10.1016\/j.neucom.2026.133576_bib0105","doi-asserted-by":"crossref","first-page":"4254","DOI":"10.1109\/TSMC.2022.3228105","article-title":"Quasi-synchronization of timescale-type delayed neural networks with parameter mismatches via impulsive control","volume":"53","author":"Wan","year":"2023","journal-title":"IEEE Trans. Syst. Man Cybern. -Syst."},{"issue":"2","key":"10.1016\/j.neucom.2026.133576_bib0110","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1109\/TNN.2010.2101081","article-title":"Exponential synchronization of linearly coupled neural networks with impulsive disturbances","volume":"22","author":"Lu","year":"2011","journal-title":"IEEE Trans. Neural Netw."},{"issue":"8","key":"10.1016\/j.neucom.2026.133576_bib0115","doi-asserted-by":"crossref","first-page":"1316","DOI":"10.1109\/TNNLS.2013.2257842","article-title":"Exponential synchronization of coupled switched neural networks with mode-dependent impulsive effects","volume":"24","author":"Zhang","year":"2013","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"8","key":"10.1016\/j.neucom.2026.133576_bib0120","doi-asserted-by":"crossref","first-page":"2256","DOI":"10.1109\/TAC.2015.2484328","article-title":"Finite-time synchronization of coupled networks with markovian topology and impulsive effects","volume":"61","author":"Yang","year":"2015","journal-title":"IEEE Trans. Autom. Control"},{"issue":"2","key":"10.1016\/j.neucom.2026.133576_bib0125","doi-asserted-by":"crossref","first-page":"736","DOI":"10.1109\/TNNLS.2020.3028835","article-title":"Finite-time synchronization for delayed complex dynamical networks with synchronizing or desynchronizing impulses","volume":"33","author":"Yang","year":"2020","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"8","key":"10.1016\/j.neucom.2026.133576_bib0130","doi-asserted-by":"crossref","first-page":"3550","DOI":"10.1109\/TAC.2020.3022532","article-title":"Finite-time synchronization of impulsive dynamical networks with strong nonlinearity","volume":"66","author":"Zhu","year":"2020","journal-title":"IEEE Trans. Autom. Control"},{"issue":"1","key":"10.1016\/j.neucom.2026.133576_bib0135","doi-asserted-by":"crossref","first-page":"1040","DOI":"10.1109\/TNNLS.2022.3185490","article-title":"Finite-time synchronization of complex dynamical networks via a novel hybrid controller","volume":"35","author":"Xi","year":"2022","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"3","key":"10.1016\/j.neucom.2026.133576_bib0140","doi-asserted-by":"crossref","first-page":"2312","DOI":"10.1109\/TSMC.2024.3520135","article-title":"Local and global finite-time synchronization of fractional-order complex dynamical networks via hybrid impulsive control","volume":"55","author":"Wei","year":"2025","journal-title":"IEEE Trans. Syst. Man Cybern. -Syst."},{"issue":"2","key":"10.1016\/j.neucom.2026.133576_bib0145","doi-asserted-by":"crossref","first-page":"634","DOI":"10.1109\/TNSE.2021.3128244","article-title":"Distributed synchronization of delayed neural networks: delay-dependent hybrid impulsive control","volume":"9","author":"Ji","year":"2021","journal-title":"IEEE Trans. Netw. Sci. Eng."},{"issue":"10","key":"10.1016\/j.neucom.2026.133576_bib0150","doi-asserted-by":"crossref","first-page":"6007","DOI":"10.1109\/TNNLS.2021.3069830","article-title":"Synchronization of chaotic neural networks: average-delay impulsive control","volume":"33","author":"Jiang","year":"2021","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"1","key":"10.1016\/j.neucom.2026.133576_bib0155","doi-asserted-by":"crossref","first-page":"783","DOI":"10.1109\/TNNLS.2022.3177234","article-title":"Delayed impulsive control for lag synchronization of delayed neural networks involving partial unmeasurable states","volume":"35","author":"Li","year":"2022","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"12","key":"10.1016\/j.neucom.2026.133576_bib0160","doi-asserted-by":"crossref","first-page":"18899","DOI":"10.1109\/TNNLS.2023.3320651","article-title":"Synchronization of time-delay coupled neural networks with stabilizing delayed impulsive control","volume":"35","author":"Zhang","year":"2023","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"1","key":"10.1016\/j.neucom.2026.133576_bib0165","doi-asserted-by":"crossref","DOI":"10.1115\/1.4041202","article-title":"Impulsive consensus of networked multi-agent systems with distributed delays in agent dynamics and impulsive protocols","volume":"141","author":"Liu","year":"2019","journal-title":"J. Dyn. Syst, Meas. Control-Trans. ASME."},{"issue":"10","key":"10.1016\/j.neucom.2026.133576_bib0170","doi-asserted-by":"crossref","first-page":"14918","DOI":"10.1109\/TNNLS.2023.3282231","article-title":"Fully complex-valued gated recurrent neural network for ultrasound imaging","volume":"35","author":"Lei","year":"2023","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"3","key":"10.1016\/j.neucom.2026.133576_bib0175","doi-asserted-by":"crossref","first-page":"5668","DOI":"10.1109\/TNNLS.2024.3384314","article-title":"Complex-valued convolutional gated recurrent neural network for ultrasound beamforming","volume":"36","author":"Zhang","year":"2024","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"2","key":"10.1016\/j.neucom.2026.133576_bib0180","doi-asserted-by":"crossref","first-page":"1093","DOI":"10.1002\/mrm.28733","article-title":"Analysis of deep complex-valued convolutional neural networks for MRI reconstruction and phase-focused applications, magn","volume":"86","author":"Cole","year":"2021","journal-title":"Reson. Med."},{"issue":"16","key":"10.1016\/j.neucom.2026.133576_bib0185","doi-asserted-by":"crossref","first-page":"2908","DOI":"10.3390\/rs16162908","article-title":"Complex-valued 2D-3D hybrid convolutional neural network with attention mechanism for POLSAR image classification","volume":"16","author":"Li","year":"2024","journal-title":"Remote Sens."},{"key":"10.1016\/j.neucom.2026.133576_bib0190","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1016\/j.neunet.2023.02.041","article-title":"Global synchronization of complex-valued neural networks with unbounded time-varying delays","volume":"162","author":"Sheng","year":"2023","journal-title":"Neural Netw."},{"key":"10.1016\/j.neucom.2026.133576_bib0195","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1016\/j.fss.2020.05.013","article-title":"Adaptive synchronization for fuzzy inertial complex-valued neural networks with state-dependent coefficients and mixed delays","volume":"411","author":"Li","year":"2021","journal-title":"Fuzzy Sets Syst."},{"key":"10.1016\/j.neucom.2026.133576_bib0200","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1016\/j.neucom.2022.09.111","article-title":"A novel intermittent sliding mode control approach to finite-time synchronization of complex-valued neural networks","volume":"513","author":"Hui","year":"2022","journal-title":"Neurocomputing"},{"issue":"4","key":"10.1016\/j.neucom.2026.133576_bib0205","doi-asserted-by":"crossref","first-page":"3313","DOI":"10.1109\/TNSE.2021.3110414","article-title":"Synchronization in finite\/fixed time for markovian complex-valued nonlinear interconnected neural networks with reaction\u2013diffusion terms","volume":"8","author":"Song","year":"2021","journal-title":"IEEE Trans. Netw. Sci. Eng."},{"issue":"5","key":"10.1016\/j.neucom.2026.133576_bib0210","doi-asserted-by":"crossref","first-page":"5885","DOI":"10.1007\/s11063-022-11117-9","article-title":"Finite-time synchronization for T\u2013S fuzzy complex-valued inertial delayed neural networks via decomposition approach","volume":"55","author":"Ramajayam","year":"2023","journal-title":"Neural Process. Lett."},{"issue":"8","key":"10.1016\/j.neucom.2026.133576_bib0215","doi-asserted-by":"crossref","first-page":"3938","DOI":"10.1109\/TNNLS.2021.3054967","article-title":"Finite-time synchronization of complex-valued memristive-based neural networks via hybrid control","volume":"33","author":"Yu","year":"2021","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"1","key":"10.1016\/j.neucom.2026.133576_bib0220","doi-asserted-by":"crossref","first-page":"473","DOI":"10.1016\/j.jfranklin.2019.11.072","article-title":"Synchronization in finite\/fixed time of fully complex-valued dynamical networks via nonseparation approach","volume":"357","author":"Xiong","year":"2020","journal-title":"J. Franklin Inst."},{"issue":"5","key":"10.1016\/j.neucom.2026.133576_bib0225","doi-asserted-by":"crossref","first-page":"8205","DOI":"10.1109\/TNNLS.2024.3424519","article-title":"Finite-time synchronization of fractional-order memristive fuzzy neural networks: event-based control with linear measurement error","volume":"36","author":"Tang","year":"2024","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"10.1016\/j.neucom.2026.133576_bib0230","doi-asserted-by":"crossref","DOI":"10.1016\/j.fss.2023.108578","article-title":"Finite-time synchronization of fractional-order delayed memristive fuzzy neural networks","volume":"467","author":"Zhao","year":"2023","journal-title":"Fuzzy Sets Syst."},{"issue":"2","key":"10.1016\/j.neucom.2026.133576_bib0235","doi-asserted-by":"crossref","first-page":"1628","DOI":"10.1109\/TNNLS.2022.3184487","article-title":"Finite-time synchronization andH\u221esynchronization for coupled neural networks with multistate or multiderivative couplings","volume":"35","author":"Wang","year":"2022","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"1","key":"10.1016\/j.neucom.2026.133576_bib0240","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1007\/s11063-017-9590-x","article-title":"Finite-time synchronization of complex-valued neural networks with mixed delays and uncertain perturbations","volume":"46","author":"Zhou","year":"2017","journal-title":"Neural Process. Lett."},{"key":"10.1016\/j.neucom.2026.133576_bib0245","series-title":"Nonlinear Systems","author":"Khalil","year":"2002"}],"container-title":["Neurocomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231226009732?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231226009732?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T19:18:17Z","timestamp":1777576697000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0925231226009732"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":49,"alternative-id":["S0925231226009732"],"URL":"https:\/\/doi.org\/10.1016\/j.neucom.2026.133576","relation":{},"ISSN":["0925-2312"],"issn-type":[{"value":"0925-2312","type":"print"}],"subject":[],"published":{"date-parts":[[2026,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Finite-time synchronization of complex-valued neural networks via hybrid impulsive control with distributed delays","name":"articletitle","label":"Article Title"},{"value":"Neurocomputing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neucom.2026.133576","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"133576"}}