Abstract
This paper concerns the intra-layer synchronization in duplex networks with stochastic perturbations under impulsive control. In this paper, we proposed a dynamical system on a duplex network with impulsive control, where delay of interactions within each layer, delay of interactions between layers, and environmental noises are included. Different from Tang et al. (Sci China Technol Sci 61(12):1907–1914, 2018), we used different topology structures for the two layers of the duplex network. Different from the model of Shen and Tang (Chin Phys B 27(10):100503, 2018), delays in the node interactions within or between the layers are allowed. Besides, the environmental noises are included. Moreover, due to the superior efficiency of impulsive control, we use it to control the synchronization of the duplex network even if the dynamical system exhibits chaos phenomena. Finally, we obtain some interesting simulation results by applying our theoretic results to the Chua–Chua chaotic system to show the effectiveness of our control schemes.
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References
Tang L, Lu J, Lü J (2018) A threshold effect of coupling delays on intra-layer synchronization in duplex networks. Sci China Technol Sci 61(12):1907–1914
Shen J, Tang L (2018) Intra-layer synchronization in duplex networks. Chin Phys B 27(10):100503
Gambuzza LV, Frasca M, Gomez-Gardeñes J (2015) Intra-layer synchronization in multiplex networks. EPL Eur Lett 110(2):20010
Jalan S, Singh A (2016) Cluster synchronization in multiplex networks. EPL Eur Lett 113(3):30002
Leyva I, Sevilla-Escoboza R, Sendiña-Nadal I, Gutiérrez R, Buldú J, Boccaletti S (2017) Inter-layer synchronization in non-identical multi-layer networks. Sci Rep 7(1):1–9
Tang L, Lu J, Lü J (2019) Master stability functions for complete, intralayer, and interlayer synchronization in multiplex networks of coupled Rössler oscillators. Phys Rev E 99:012304
He W, Chen G, Han Q-L, Du W, Cao J, Qian F (2017) Multiagent systems on multilayer networks: Synchronization analysis and network design. IEEE Trans Syst Man Cybern Syst 47(7):1655–1667
Zhuang J, Zhou Y, Xia Y (2020) Synchronization analysis of drive-response multi-layer dynamical networks with additive couplings and stochastic perturbations. Discret Contin Dyn Sys Ser. https://doi.org/10.3934/dcdss.2020279
Zhuang J, Cao J, Tang L, Xia Y, Perc M (2018) Synchronization analysis for stochastic delayed multi-layer network with additive couplings. IEEE Trans Syst Man Cybern Syst 99:1–10
Li H, Xu X, Ding X (2019) Finite-time stability analysis of stochastic switched boolean networks with impulsive effect. Appl Math Comput 347:557–565
Liu X, Su H, Chen MZ (2015) A switching approach to designing finite-time synchronization controllers of coupled neural networks. IEEE Trans Neural Netw Learn Syst 27(2):471–482
Liu X, Ho DW, Song Q, Xu W (2018) Finite/fixed-time pinning synchronization of complex networks with stochastic disturbances. IEEE Trans Cybern 49(6):2398–2403
Yang X, Lu J, Ho DWC, Song Q (2018) Synchronization of uncertain hybrid switching and impulsive complex networks. Appl Math Model 59:379–392
Yang C, Huang L (2017) Finite-time synchronization of coupled time-delayed neural networks with discontinuous activations. Neurocomputing 249:64–71
Yang X, Lam J, Ho DWC, Feng Z (2017) Fixed-time synchronization of complex networks with impulsive effects via nonchattering control. IEEE Trans Autom Control 62(11):5511–5521
Xia Y, Yang Z, Han M (2009) Lag synchronization of unknown chaotic delayed yang-yang-type fuzzy neural networks with noise perturbation based on adaptive control and parameter identification. IEEE Trans Neural Netw 20(7):1165–1180
Wu X, Zhao X, Jinhu L, Tang L, Lu J-A (2016) Identifying topologies of complex dynamical networks with stochastic perturbations. IEEE Trans Control Netw Syst 3(4):379–389
Yu W, Cao J (2007) Synchronization control of stochastic delayed neural networks. Phys A Stat Mech Appl 373:252–260
Song Y, Xu J (2012) Inphase and antiphase synchronization in a delay-coupled system with applications to a delay-coupled fitzhugh-nagumo system. IEEE Trans Neural Netw 23(10):1659–1670
Li X, Cao J (2008) Adaptive synchronization for delayed neural networks with stochastic perturbation. J Frankl Inst 345(7):779–791
Huang C, Cao J (2017) Active control strategy for synchronization and anti-synchronization of a fractional chaotic financial system. Phys A Stat Mech Appl 473:262–275
Al-sawalha MM, Noorani MSM (2012) Chaos reduced-order anti-synchronization of chaotic systems with fully unknown parameters. Commun Nonlinear Sci Numer Simul 17(4):1908–1920
Liu Y, Li B, Lu J, Cao J (2017) Pinning control for the disturbance decoupling problem of Boolean networks. IEEE Trans Autom Control 62(12):6595–6601
Wang T, Zhao S, Zhou W, Yu W (2016) Almost sure synchronization control for stochastic delayed complex networks based on pinning adaptive method. Adv Differ Equ 306:1–16
Cheng Z, Xin Y, Cao J, Yu X, Lu G (2018) Selecting pinning nodes to control complex networked systems. Sci China Technol Sci 61(10):1537–1545
Tang Z, Park JH, Zheng W-X (2018) Distributed impulsive synchronization of Lur’e dynamical networks via parameter variation methods. Int J Robust Nonlinear Control 28(3):1001–1015
Li Y, Wu X, Lu J-A, Jinhu L (2016) Synchronizability of duplex networks. IEEE Trans Circuits Syst II Brief Pap 63(2):206–210
Lu J, Ho DWC (2010) Globally exponential synchronization and synchronizability for general dynamical networks. IEEE Trans Syst Man Cybern Part B Cybern 40(2):350–361
Li X, O’Regan D, Akca H (2015) Global exponential stabilization of impulsive neural networks with unbounded continuously distributed delays. IMA J Appl Math 80(1):85–99
Li X, Shen J, Rakkiyappan R (2018) Persistent impulsive effects on stability of functional differential equations with finite or infinite delay. Appl Math Comput 329:14–22
Li X, Yang X, Huang T (2019) Persistence of delayed cooperative models: Impulsive control method. Appl Math Comput 342:130–146
Lu J, Cao J, Ho DWC, Kurths J (2012) Pinning impulsive stabilization of nonlinear dynamical networks with time-varying delay. Int J Bifur Chaos 22(7):1250176
Stamov G, Stamova I (2015) Impulsive fractional functional differential systems and Lyapunov method for the existence of almost periodic solutions. Rep Math Phys 75(1):73–84
Stamova I (2014) Global Mittag–Leffler stability and synchronization of impulsive fractional-order neural networks with time-varying delays. Nonlinear Dyn 77(1):1251–1260
Yu L, Yu Z (2018) Synchronization of stochastic impulsive discrete-time delayed networks via pinning control. Neurocomputing 286:31–40
Liu Y, Tong L, Lou J, Lu J, Cao J (2019) Sampled-data control for the synchronization of Boolean control networks. IEEE Trans Syst Man Cybern 49(2):726–732
Liu J, Liu Y, Guo Y, Gui W (2019) Sampled-data state-feedback stabilization of probabilistic Boolean control networks: a control Lyapunov function approach. IEEE Trans Cybern. https://doi.org/10.1109/TCYB.2019.2932914
Zhang B, Zhuang J, Liu H, Cao J, Xia Y (2018) Master-slave synchronization of a class of fractional-order Takagi-Sugeno fuzzy neural networks. Adv Differ Equ 2018(1):473
Guo B, Wu Y, Xiao Y, Zhang C (2018) Graph-theoretic approach to synchronizing stochastic coupled systems with time-varying delays on networks via periodically intermittent control. Appl Math Comput 331:341–357
Wang J, Feng J, Xu C, Zhao Y (2013) Exponential synchronization of stochastic perturbed complex networks with time-varying delays via periodically intermittent pinning. Commun Nonlinear Sci Numer Simul 18(11):3146–3157
Liu L, Perc M, Cao J (2019) Aperiodically intermittent stochastic stabilization via discrete time or delay feedback control. Sci China Inf Sci 62(7):72201
Tan X, Cao J, Li X, Alsaedi A (2018) Leader-following mean square consensus of stochastic multi-agent systems with input delay via event-triggered control. IET Control Theory Appl 12(1):299–309
Wu Z, Xu Y, Pan Y, Su H, Tang Y (2018) Event-triggered control for consensus problem in multi-agent systems with quantized relative state measurements and external disturbance. IEEE Trans Circuits Syst I Reg Pap 65(7):2232–2242
Wu Z, Xu Y, Pan Y, Shi P, Wang Q (2018) Event-triggered pinning control for consensus of multiagent systems with quantized information. IEEE Trans Syst Man Cybern Syst 48(11):1929–1938
Zhu Q (2019) Stabilization of stochastic nonlinear delay systems with exogenous disturbances and the event-triggered feedback control. IEEE Trans Autom Control 9(2):3764–3771
Zhu Q, Wang H (2018) Output feedback stabilization of stochastic feedforward systems with unknown control coefficients and unknown output function. Automatica 87(2):166–175
Mao X (2011) Stochastic Differential Equations and Applications, 2nd edn. Woodhead Publishing, Cambridge
Cao J, Yuan K, Li H-X (2006) Global asymptotical stability of recurrent neural networks with multiple discrete delays and distributed delays. IEEE Trans Neural Netw 17(6):1646–1651
Li X, Bohner M (2012) An impulsive delay differential inequality and applications. Comput Math Appl 64(6):1875–1881
Pecora LM, Carroll TL (1998) Master stability functions for synchronized coupled systems. Phys Rev Lett 80(10):2109
Cao J, Wang Z, Sun Y (2007) Synchronization in an array of linearly stochastically coupled networks with time delays. Phys A Stat Mech Appl 385(2):718–728
Li X, Song S (2014) Research on synchronization of chaotic delayed neural networks with stochastic perturbation using impulsive control method. Commun Nonlinear Sci Numer Simul 19(10):3892–3900
Wu Y, Fu S, Li W (2019) Exponential synchronization for coupled complex networks with time-varying delays and stochastic perturbations via impulsive control. J Frankl Inst 356(1):492–513
Zhu Q, Cao J (2011) Adaptive synchronization under almost every initial data for stochastic neural networks with time-varying delays and distributed delays. Commun Nonlinear Sci Numer Simul 16(4):2139–2159
Raj S, Ramachandran R, Rajendiran S, Cao J, Li X (2018) Passivity analysis of uncertain stochastic neural network with leakage and distributed delays under impulsive perturbations. Kybernetika 54(1):3–29
Zhao X, Zhou J, Lü J-A (2018) Pinning synchronization of multiplex delayed networks with stochastic perturbations. IEEE Trans Cybern 99:1–9
Watts DJ, Strogatz SH (1998) Collective dynamics of ‘small-world’ networks. Nature 393(6684):440–442
Higham DJ (2001) An algorithmic introduction to numerical simulation of stochastic differential equations. SIAM Rev 43(3):525–546
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This work was jointly supported by the National Natural Science Foundation of China under Grant (Nos. 11931016, 11671176, 11871231), Natural Science Foundation of Zhejiang Province under Grant (No. LY20A010016), Program for Innovative Research Team in Science and Technology in Fujian Province University, and Quanzhou High-Level Talents Support Plan under Grant 2017ZT012, start-up fund of Huaqiao University (Z16J0039).
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Zhuang, J., Zhou, Y. & Xia, Y. Intra-layer Synchronization in Duplex Networks with Time-Varying Delays and Stochastic Perturbations Under Impulsive Control. Neural Process Lett 52, 785–804 (2020). https://doi.org/10.1007/s11063-020-10281-0
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DOI: https://doi.org/10.1007/s11063-020-10281-0