{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T13:20:11Z","timestamp":1769606411326,"version":"3.49.0"},"reference-count":58,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2021,10,11]],"date-time":"2021-10-11T00:00:00Z","timestamp":1633910400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2021,10,11]],"date-time":"2021-10-11T00:00:00Z","timestamp":1633910400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"Institutional Fund Projects","award":["IFPIP-91-611-1442"],"award-info":[{"award-number":["IFPIP-91-611-1442"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Process Lett"],"published-print":{"date-parts":[[2022,4]]},"DOI":"10.1007\/s11063-021-10657-w","type":"journal-article","created":{"date-parts":[[2021,10,11]],"date-time":"2021-10-11T18:24:35Z","timestamp":1633976675000},"page":"785-801","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Synchronization of Quaternion Valued Neural Networks with Mixed Time Delays Using Lyapunov Function Method"],"prefix":"10.1007","volume":"54","author":[{"given":"Sunny","family":"Singh","sequence":"first","affiliation":[]},{"given":"Umesh","family":"Kumar","sequence":"additional","affiliation":[]},{"given":"Subir","family":"Das","sequence":"additional","affiliation":[]},{"given":"F.","family":"Alsaadi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3133-7119","authenticated-orcid":false,"given":"Jinde","family":"Cao","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,10,11]]},"reference":[{"issue":"1","key":"10657_CR1","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1109\/JAS.2016.7373763","volume":"3","author":"D Shen","year":"2016","unstructured":"Shen D, Xu Y (2016) Iterative learning control for discrete-time stochastic systems with quantized information. IEEE\/CAA J Autom Sin 3(1):59\u201367","journal-title":"IEEE\/CAA J Autom Sin"},{"issue":"11","key":"10657_CR2","doi-asserted-by":"publisher","first-page":"4619","DOI":"10.1109\/TCYB.2020.2969377","volume":"50","author":"D Zhao","year":"2020","unstructured":"Zhao D, Wang Z, Chen Y, Wei G (2020) Proportional-integral observer design for multidelayed sensor-saturated recurrent neural networks: a dynamic event-triggered protocol. IEEE Trans Cybern 50(11):4619\u20134632","journal-title":"IEEE Trans Cybern"},{"issue":"3","key":"10657_CR3","doi-asserted-by":"publisher","first-page":"1022","DOI":"10.1109\/TNNLS.2019.2916597","volume":"31","author":"Y Liu","year":"2019","unstructured":"Liu Y, Zheng Y, Lu J, Cao J, Rutkowski L (2019) Constrained quaternion-variable convex optimization: a quaternion-valued recurrent neural network approach. IEEE Trans Neural Netw Learn Syst 31(3):1022\u20131035","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"10657_CR4","doi-asserted-by":"publisher","first-page":"5617","DOI":"10.1109\/TSP.2020.3025519","volume":"68","author":"J Miao","year":"2020","unstructured":"Miao J, Kou KI (2020) Quaternion-based bilinear factor matrix norm minimization for color image inpainting. IEEE Trans Signal Process 68:5617\u20135631","journal-title":"IEEE Trans Signal Process"},{"key":"10657_CR5","doi-asserted-by":"crossref","unstructured":"Xia Z, Liu Y, Lu J, Cao J, Rutkowski L (2020) Penalty method for constrained distributed quaternion-variable optimization. IEEE Trans Cybern","DOI":"10.1109\/TCYB.2020.3031687"},{"key":"10657_CR6","unstructured":"Zhao Z, Wang Z, Zou L, Guo G (2018) Finite-time state estimation for delayed neural networks with redundant delayed channels. IEEE Trans Syst Man Cybern Syst"},{"key":"10657_CR7","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1016\/j.automatica.2019.04.025","volume":"106","author":"D Ding","year":"2019","unstructured":"Ding D, Wang Z, Han QL (2019) Neural-network-based output-feedback control with stochastic communication protocols. Automatica 106:221\u2013229","journal-title":"Automatica"},{"issue":"1","key":"10657_CR8","doi-asserted-by":"publisher","first-page":"777","DOI":"10.1007\/s11063-021-10426-9","volume":"53","author":"J Jin","year":"2021","unstructured":"Jin J (2021) An improved finite time convergence recurrent neural network with application to time-varying linear complex matrix equation solution. Neural Process Lett 53(1):777\u2013786","journal-title":"Neural Process Lett"},{"key":"10657_CR9","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1016\/j.matcom.2018.07.006","volume":"156","author":"Z Wang","year":"2019","unstructured":"Wang Z, Liu X (2019) Exponential stability of impulsive complex-valued neural networks with time delay. Math Comput Simul 156:143\u2013157","journal-title":"Math Comput Simul"},{"key":"10657_CR10","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1016\/j.neunet.2016.01.007","volume":"77","author":"R Rakkiyappan","year":"2016","unstructured":"Rakkiyappan R, Sivaranjani R, Velmurugan G, Cao J (2016) Analysis of global O (t- $$\\alpha $$) stability and global asymptotical periodicity for a class of fractional-order complex-valued neural networks with time varying delays. Neural Netw 77:51\u201369","journal-title":"Neural Netw"},{"issue":"9","key":"10657_CR11","doi-asserted-by":"publisher","first-page":"1942","DOI":"10.1109\/TCYB.2014.2362655","volume":"45","author":"JL Wang","year":"2014","unstructured":"Wang JL, Wu HN, Huang T, Ren SY (2014) Passivity and synchronization of linearly coupled reaction\u2013diffusion neural networks with adaptive coupling. IEEE Trans Cybern 45(9):1942\u20131952","journal-title":"IEEE Trans Cybern"},{"issue":"6","key":"10657_CR12","doi-asserted-by":"publisher","first-page":"1704","DOI":"10.1109\/TFUZZ.2013.2294855","volume":"22","author":"S Wen","year":"2013","unstructured":"Wen S, Zeng Z, Huang T, Zhang Y (2013) Exponential adaptive lag synchronization of memristive neural networks via fuzzy method and applications in pseudorandom number generators. IEEE Trans Fuzzy Syst 22(6):1704\u20131713","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"10657_CR13","doi-asserted-by":"publisher","first-page":"100977","DOI":"10.1016\/j.nahs.2020.100977","volume":"39","author":"D Zeng","year":"2021","unstructured":"Zeng D, Zhang R, Park JH, Zhong S, Cheng J, Wu GC (2021) Reliable stability and stabilizability for complex-valued memristive neural networks with actuator failures and aperiodic event-triggered sampled-data control. Nonlinear Anal Hybrid Syst 39:100977","journal-title":"Nonlinear Anal Hybrid Syst"},{"issue":"4","key":"10657_CR14","doi-asserted-by":"publisher","first-page":"1316","DOI":"10.1109\/TSP.2008.2010600","volume":"57","author":"CC Took","year":"2008","unstructured":"Took CC, Mandic DP (2008) The quaternion LMS algorithm for adaptive filtering of hypercomplex processes. IEEE Trans Signal Process 57(4):1316\u20131327","journal-title":"IEEE Trans Signal Process"},{"issue":"4","key":"10657_CR15","doi-asserted-by":"publisher","first-page":"1218","DOI":"10.1109\/TSP.2006.870630","volume":"54","author":"S Miron","year":"2006","unstructured":"Miron S, Le Bihan N, Mars JI (2006) Quaternion-MUSIC for vector-sensor array processing. IEEE Trans Signal Process 54(4):1218\u20131229","journal-title":"IEEE Trans Signal Process"},{"issue":"4","key":"10657_CR16","first-page":"663","volume":"26","author":"Y Xia","year":"2014","unstructured":"Xia Y, Jahanchahi C, Mandic DP (2014) Quaternion-valued echo state networks. IEEE Trans Neural Netw Learn Syst 26(4):663\u2013673","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"7","key":"10657_CR17","doi-asserted-by":"publisher","first-page":"3287","DOI":"10.1109\/TIP.2016.2567077","volume":"25","author":"C Zou","year":"2016","unstructured":"Zou C, Kou KI, Wang Y (2016) Quaternion collaborative and sparse representation with application to color face recognition. IEEE Trans Image Process 25(7):3287\u20133302","journal-title":"IEEE Trans Image Process"},{"key":"10657_CR18","doi-asserted-by":"crossref","unstructured":"Isokawa T, Kusakabe T, Matsui N, Peper F (2003) Quaternion neural network and its application. In: International conference on knowledge-based and intelligent information and engineering systems, pp 318\u2013324","DOI":"10.1007\/978-3-540-45226-3_44"},{"issue":"3","key":"10657_CR19","doi-asserted-by":"publisher","first-page":"534","DOI":"10.1109\/TNNLS.2016.2635676","volume":"29","author":"S Qin","year":"2016","unstructured":"Qin S, Feng J, Song J, Wen X, Xu C (2016) A one-layer recurrent neural network for constrained complex-variable convex optimization. IEEE Trans Neural Netw Learn Syst 29(3):534\u2013544","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"3","key":"10657_CR20","doi-asserted-by":"publisher","first-page":"497","DOI":"10.1109\/TNNLS.2015.2416259","volume":"27","author":"A Sahoo","year":"2015","unstructured":"Sahoo A, Xu H, Jagannathan S (2015) Neural network-based event-triggered state feedback control of nonlinear continuous-time systems. IEEE Trans Neural Netw Learn Syst 27(3):497\u2013509","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"11","key":"10657_CR21","doi-asserted-by":"publisher","first-page":"1299","DOI":"10.1007\/s10114-020-8167-1","volume":"36","author":"BX Jiang","year":"2020","unstructured":"Jiang BX, Liu Y, Kou KI, Wang Z (2020) Controllability and observability of linear quaternion-valued systems. Acta Math Sin Engl Ser 36(11):1299\u20131314","journal-title":"Acta Math Sin Engl Ser"},{"issue":"3","key":"10657_CR22","doi-asserted-by":"publisher","first-page":"579","DOI":"10.1007\/s13042-017-0740-2","volume":"10","author":"L Duan","year":"2019","unstructured":"Duan L, Fang X, Fu Y (2019) Global exponential synchronization of delayed fuzzy cellular neural networks with discontinuous activations. Int J Mach Learn Cybern 10(3):579\u2013589","journal-title":"Int J Mach Learn Cybern"},{"issue":"6","key":"10657_CR23","doi-asserted-by":"publisher","first-page":"7468","DOI":"10.3390\/s120607468","volume":"12","author":"HT Yau","year":"2012","unstructured":"Yau HT, Hung TH, Hsieh CC (2012) Bluetooth based chaos synchronization using particle swarm optimization and its applications to image encryption. Sensors 12(6):7468\u20137484","journal-title":"Sensors"},{"key":"10657_CR24","doi-asserted-by":"crossref","unstructured":"Diab A, Marque C, Karlsson B, Hassan M (2013) Comparison of methods for evaluating signal synchronization and direction: application to uterine EMG signals. In: 2013 2nd international conference on advances in biomedical engineering, pp 14\u201317","DOI":"10.1109\/ICABME.2013.6648835"},{"key":"10657_CR25","doi-asserted-by":"crossref","unstructured":"Cagnan H, Duff EP, Brown P (2015) The relative phases of basal ganglia activities dynamically shape effective connectivity in Parkinson\u2019s disease. Brain 138(6):1667\u20131678","DOI":"10.1093\/brain\/awv093"},{"issue":"12","key":"10657_CR26","doi-asserted-by":"publisher","first-page":"5011","DOI":"10.1016\/j.jfranklin.2017.05.031","volume":"354","author":"H Zhang","year":"2017","unstructured":"Zhang H, Wang XY (2017) Complex projective synchronization of complex-valued neural network with structure identification. J Franklin Inst 354(12):5011\u20135025","journal-title":"J Franklin Inst"},{"key":"10657_CR27","doi-asserted-by":"crossref","unstructured":"Sun Y, Liu Y (2021) Adaptive synchronization control and parameters identification for chaotic fractional neural networks with time-varying delays. Neural Process Lett 1\u201317","DOI":"10.1007\/s11063-021-10517-7"},{"key":"10657_CR28","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1016\/j.neucom.2016.09.006","volume":"219","author":"J Li","year":"2017","unstructured":"Li J, He C, Zhang W, Chen M (2017) Adaptive synchronization of delayed reaction\u2013diffusion neural networks with unknown non-identical time-varying coupling strengths. Neurocomputing 219:144\u2013153","journal-title":"Neurocomputing"},{"key":"10657_CR29","doi-asserted-by":"publisher","first-page":"228","DOI":"10.1016\/j.ins.2020.10.064","volume":"551","author":"R Kumar","year":"2021","unstructured":"Kumar R, Kumar U, Das S, Qiu J, Lu J (2021) Effects of heterogeneous impulses on synchronization of complex-valued neural networks with mixed time-varying delays. Inf Sci 551:228\u2013244","journal-title":"Inf Sci"},{"key":"10657_CR30","doi-asserted-by":"crossref","unstructured":"Li Y, Yang Z, Dong Z (2017) Asymptotical synchronization of memristor-based neural networks with time-varying delays via adaptive control. In: 2017 36th Chinese control conference (CCC), pp 4012\u20134017","DOI":"10.23919\/ChiCC.2017.8027986"},{"key":"10657_CR31","doi-asserted-by":"crossref","unstructured":"Mishra AK, Das S, Yadav VK (2021) Finite-time synchronization of multi-scroll chaotic systems with sigmoid non-linearity and uncertain terms. Chin J Phys","DOI":"10.1016\/j.cjph.2020.11.002"},{"key":"10657_CR32","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1016\/j.neucom.2016.12.061","volume":"235","author":"C Chen","year":"2017","unstructured":"Chen C, Li L, Peng H, Yang Y, Li T (2017) Finite-time synchronization of memristor-based neural networks with mixed delays. Neurocomputing 235:83\u201389","journal-title":"Neurocomputing"},{"key":"10657_CR33","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/j.nahs.2015.12.001","volume":"20","author":"Z Cai","year":"2016","unstructured":"Cai Z, Huang L, Zhu M, Wang D (2016) Finite-time stabilization control of memristor-based neural networks. Nonlinear Anal Hybrid Syst 20:37\u201354","journal-title":"Nonlinear Anal Hybrid Syst"},{"key":"10657_CR34","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.neucom.2016.02.012","volume":"194","author":"M Liu","year":"2016","unstructured":"Liu M, Jiang H, Hu C (2016) Finite-time synchronization of memristor-based Cohen\u2013Grossberg neural networks with time-varying delays. Neurocomputing 194:1\u20139","journal-title":"Neurocomputing"},{"key":"10657_CR35","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1016\/j.neunet.2015.09.012","volume":"73","author":"G Velmurugan","year":"2016","unstructured":"Velmurugan G, Rakkiyappan R, Cao J (2016) Finite-time synchronization of fractional-order memristor-based neural networks with time delays. Neural Netw 73:36\u201346","journal-title":"Neural Netw"},{"issue":"2","key":"10657_CR36","doi-asserted-by":"publisher","first-page":"1359","DOI":"10.1007\/s11063-020-10308-6","volume":"52","author":"H Wu","year":"2020","unstructured":"Wu H, Wang X, Liu X, Cao J (2020) Finite\/fixed-time bipartite synchronization of coupled delayed neural networks under a unified discontinuous controller. Neural Process Lett 52(2):1359\u20131376","journal-title":"Neural Process Lett"},{"issue":"8","key":"10657_CR37","doi-asserted-by":"publisher","first-page":"2106","DOI":"10.1109\/TAC.2011.2179869","volume":"57","author":"A Polyakov","year":"2011","unstructured":"Polyakov A (2011) Nonlinear feedback design for fixed-time stabilization of linear control systems. IEEE Trans Autom Control 57(8):2106\u20132110","journal-title":"IEEE Trans Autom Control"},{"key":"10657_CR38","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1016\/j.neunet.2017.02.001","volume":"89","author":"C Hu","year":"2017","unstructured":"Hu C, Yu J, Chen Z, Jiang H, Huang T (2017) Fixed-time stability of dynamical systems and fixed-time synchronization of coupled discontinuous neural networks. Neural Netw 89:74\u201383","journal-title":"Neural Netw"},{"issue":"2","key":"10657_CR39","first-page":"151","volume":"64","author":"J Ni","year":"2016","unstructured":"Ni J, Liu L, Liu C, Hu X, Li S (2016) Fast fixed-time nonsingular terminal sliding mode control and its application to chaos suppression in power system. IEEE Trans Circuits Syst II Express Briefs 64(2):151\u2013155","journal-title":"IEEE Trans Circuits Syst II Express Briefs"},{"key":"10657_CR40","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1016\/j.neunet.2015.10.009","volume":"73","author":"Y Wan","year":"2016","unstructured":"Wan Y, Cao J, Wen G, Yu W (2016) Robust fixed-time synchronization of delayed Cohen\u2013Grossberg neural networks. Neural Netw 73:86\u201394","journal-title":"Neural Netw"},{"issue":"2","key":"10657_CR41","doi-asserted-by":"publisher","first-page":"1263","DOI":"10.1007\/s11063-020-10304-w","volume":"52","author":"Y Zhang","year":"2020","unstructured":"Zhang Y, Deng S (2020) Fixed-time synchronization of complex-valued memristor-based neural networks with impulsive effects. Neural Process Lett 52(2):1263\u20131290","journal-title":"Neural Process Lett"},{"key":"10657_CR42","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1016\/j.nahs.2018.08.005","volume":"31","author":"F Gao","year":"2019","unstructured":"Gao F, Wu Y, Zhang Z, Liu Y (2019) Global fixed-time stabilization for a class of switched nonlinear systems with general powers and its application. Nonlinear Anal Hybrid Syst 31:56\u201368","journal-title":"Nonlinear Anal Hybrid Syst"},{"issue":"5","key":"10657_CR43","doi-asserted-by":"publisher","first-page":"1892","DOI":"10.1109\/TCST.2016.2519838","volume":"24","author":"B Jiang","year":"2016","unstructured":"Jiang B, Hu Q, Friswell MI (2016) Fixed-time attitude control for rigid spacecraft with actuator saturation and faults. IEEE Trans Control Syst Technol 24(5):1892\u20131898","journal-title":"IEEE Trans Control Syst Technol"},{"key":"10657_CR44","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1016\/j.neunet.2018.04.015","volume":"105","author":"X Yang","year":"2018","unstructured":"Yang X, Li C, Song Q, Chen J, Huang J (2018) Global Mittag\u2013Leffler stability and synchronization analysis of fractional-order quaternion-valued neural networks with linear threshold neurons. Neural Netw 105:88\u2013103","journal-title":"Neural Netw"},{"key":"10657_CR45","first-page":"1","volume":"1","author":"D Chen","year":"2020","unstructured":"Chen D, Zhang W, Cao J, Huang C (2020) Fixed time synchronization of delayed quaternion-valued memristor-based neural networks. Adv Differ Equ 1:1\u201316","journal-title":"Adv Differ Equ"},{"issue":"2241","key":"10657_CR46","doi-asserted-by":"publisher","first-page":"20200324","DOI":"10.1098\/rspa.2020.0324","volume":"476","author":"U Kumar","year":"2020","unstructured":"Kumar U, Das S, Huang C, Cao J (2020) Fixed-time synchronization of quaternion-valued neural networks with time-varying delay. Proc R Soc A 476(2241):20200324","journal-title":"Proc R Soc A"},{"key":"10657_CR47","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.neunet.2019.01.014","volume":"113","author":"R Wei","year":"2019","unstructured":"Wei R, Cao J (2019) Fixed-time synchronization of quaternion-valued memristive neural networks with time delays. Neural Netw 113:1\u201310","journal-title":"Neural Netw"},{"key":"10657_CR48","doi-asserted-by":"crossref","unstructured":"Ding D, You Z, Hu Y, Yang Z, Ding L (2020) Finite-time synchronization of delayed fractional-order quaternion-valued memristor-based neural networks. Int J Mod Phys B 2150032","DOI":"10.1142\/S0217979221500326"},{"key":"10657_CR49","doi-asserted-by":"crossref","unstructured":"Deng H, Bao H (2019) Fixed-time synchronization of quaternion-valued neural networks. Phys A Stati Mech Appl 527(121351)","DOI":"10.1016\/j.physa.2019.121351"},{"issue":"4","key":"10657_CR50","doi-asserted-by":"publisher","first-page":"2581","DOI":"10.1016\/j.nonrwa.2008.03.004","volume":"10","author":"T Li","year":"2009","unstructured":"Li T, Luo Q, Sun C, Zhang B (2009) Exponential stability of recurrent neural networks with time-varying discrete and distributed delays. Nonlinear Anal Real World Appl 10(4):2581\u20132589","journal-title":"Nonlinear Anal Real World Appl"},{"key":"10657_CR51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-14938-2","volume-title":"Dynamics of nonlinear time-delay systems","author":"M Lakshmanan","year":"2011","unstructured":"Lakshmanan M, Senthilkumar DV (2011) Dynamics of nonlinear time-delay systems. Springer, Berlin"},{"issue":"3","key":"10657_CR52","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1016\/0005-1098(87)90005-7","volume":"23","author":"YA Fiagbedzi","year":"1987","unstructured":"Fiagbedzi YA, Pearson AE (1987) A multistage reduction technique for feedback stabilizing distributed time-lag systems. Automatica 23(3):311\u2013326","journal-title":"Automatica"},{"key":"10657_CR53","first-page":"99","volume-title":"Introduction to functional differential equations","author":"JK Hale","year":"2013","unstructured":"Hale JK, Lunel SMV (2013) Introduction to functional differential equations. Springer, Berlin, p 99"},{"issue":"3","key":"10657_CR54","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1016\/j.neunet.2003.08.007","volume":"17","author":"J Cao","year":"2004","unstructured":"Cao J, Wang J (2004) Absolute exponential stability of recurrent neural networks with Lipschitz-continuous activation functions and time delays. Neural Netw 17(3):379\u2013390","journal-title":"Neural Netw"},{"key":"10657_CR55","doi-asserted-by":"publisher","first-page":"412","DOI":"10.1016\/j.neunet.2019.12.028","volume":"123","author":"C Chen","year":"2020","unstructured":"Chen C, Li L, Peng H, Yang Y, Mi L, Zhao H (2020) A new fixed-time stability theorem and its application to the fixed-time synchronization of neural networks. Neural Netw 123:412\u2013419","journal-title":"Neural Netw"},{"issue":"11","key":"10657_CR56","doi-asserted-by":"publisher","first-page":"5430","DOI":"10.1109\/TNNLS.2018.2801297","volume":"29","author":"Q Song","year":"2018","unstructured":"Song Q, Chen X (2018) Multistability analysis of quaternion-valued neural networks with time delays. IEEE Trans Neural Netw Learn Syst 29(11):5430\u20135440","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"10657_CR57","first-page":"18","volume":"294","author":"X Chen","year":"2017","unstructured":"Chen X, Zhao Z, Song Q, Hu J (2017) Multistability of complex-valued neural networks with time-varying delays. Appl Math Comput 294:18\u201335","journal-title":"Appl Math Comput"},{"issue":"1","key":"10657_CR58","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1109\/TCNS.2020.3034523","volume":"8","author":"D Li","year":"2020","unstructured":"Li D, Ge SS, Lee TH (2020) Fixed-time-synchronized consensus control of multiagent systems. IEEE Trans Control Netw Syst 8(1):89\u201398","journal-title":"IEEE Trans Control Netw Syst"}],"container-title":["Neural Processing Letters"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-021-10657-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11063-021-10657-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-021-10657-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T15:19:06Z","timestamp":1706195946000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11063-021-10657-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,11]]},"references-count":58,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2022,4]]}},"alternative-id":["10657"],"URL":"https:\/\/doi.org\/10.1007\/s11063-021-10657-w","relation":{},"ISSN":["1370-4621","1573-773X"],"issn-type":[{"value":"1370-4621","type":"print"},{"value":"1573-773X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,10,11]]},"assertion":[{"value":"3 October 2021","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 October 2021","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}