Abstract
In this paper, a kind of aperiodically intermittent control with actuator saturations is designed to deal with the sampled-data synchronization problem of complex-valued stochastic complex network with Markovian switching and time-varying coupling structure (CSCNMT). It is noted that this control combines the advantages of the intermittent control with actuator saturations and the sampled-data control with actuator saturations. Besides, the aperiodically intermittent control with sampled-data and the sampled-data control with actuator saturations are also used to handle the synchronization problem of CSCNMT, respectively. Moreover, by applying complex generalized Itô’s formula, synchronization of CSCNMT is researched on complex space directly without splitting their real and imaginary parts. After that, by combining with Lyapunov method, graph theory and some techniques of inequalities, some sufficient conditions are derived to guarantee the mean-squared exponential synchronization of CSCNMT. In particular, synchronization of complex-valued stochastic inertial neural network with Markovian switching and time-varying coupling structure is investigated as a practical application of the theoretical results. Finally, numerical simulations are presented for illustration.
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References
Huang, L.L., Park, J.H., Wu, G.C., Mo, Z.W.: Variable-order fractional discrete-time recurrent neural networks. J. Comput. Appl. Math. 370, 112633 (2020)
Zhang, C.M., Shi, L.: Graph-theoretic method on the periodicity of coupled predator-prey systems with infinite delays on a dispersal network. Physica A 561, 125255 (2021)
Tong, D.B., Xu, C., Chen, Q.Y., Zhou, W.N., Xu, Y.H.: Sliding mode control for nonlinear stochastic systems with Markovian jumping parameters and mode-dependent time-varying delays. Nonlinear Dyn. 100(2), 1343–1358 (2020)
Zhao, L.H., Wang, J.L., Zhang, Y.: Lag output synchronization for multiple output coupled complex networks with positive semidefinite or positive definite output matrix. J. Frankl. Inst.-Eng. Appl. Math. 357(1), 414–436 (2020)
Hu, C., Jiang, H.J.: Pinning synchronization for directed networks with node balance via adaptive intermittent control. Nonlinear Dyn. 80, 295–307 (2015)
Wu, Y.B., Li, H.Z., Li, W.X.: Intermittent control strategy for synchronization analysis of time-varying complex dynamical networks. IEEE Trans. Syst. Man Cybern. -Syst. 51(5), 3251–3262 (2021)
Liu, Y., Lin, Y.T.: Synchronization of quaternion-valued coupled systems with time-varying coupling via event-triggered impulsive control. Math. Meth. Appl. Sci. https://doi.org/10.1002/mma.7777
Chen, M.Y.: Synchronization in time-varying networks: a matrix measure approach. Phys. Rev. E 76(1), 016104 (2007)
Liu, Y., Wang, M., Chu, D.H., Su, H.: Feedback control based on discrete-time state observations on synchronization of stochastic impulsive coupled systems. Nonlinear Anal.-Hybrid Syst. 9, 100987 (2021)
Xu, Y., Gao, S., Li, W.X.: Exponential stability of fractional-order complex multi-links networks with aperiodically intermittent control. IEEE Trans. Neural Netw. Learn. Syst. 32(9), 4063–4074 (2021)
Li, X.J., Yang, G.H.: Adaptive fault-tolerant synchronization control of a class of complex dynamical networks with general input distribution matrices and actuator faults. IEEE Trans. Neural Netw. Learn. Syst. 28(3), 559–569 (2017)
Wang, P.F., Wang, S.Q., Su, H.: Stochastic input-to-state stability of impulsive stochastic nonlinear systems in infinite dimensions. SIAM J. Control Optim. 59(4), 2774–2797 (2021)
Selvaraj, P., Sakthivel, R., Kwon, O.M.: Finite-time synchronization of stochastic coupled neural networks subject to Markovian switching and input saturation. Neural Netw. 105, 154–165 (2018)
Ali, M.S., Narayanan, G., Shekher, V., Alsulami, H., Saeed, T.: Finite-time synchronization of stochastic coupled neural networks subject to Markovian switching and input saturation. Appl. Math. Comput. 369, 124896 (2020)
Ding, S.B., Wang, Z.S., Rong, N.N.: Intermittent control for quasisynchronization of delayed discrete-time neural networks. IEEE T. Cybern. 51(2), 862–873 (2021)
Li, S., Zheng, Y.H., Su, H.: Almost sure synchronization of multilayer networks via intermittent pinning noises: A white-noise-based time-varying coupling. IEEE Trans. Circuits Syst. I-Regul. Pap. 68(8), 3460–3473 (2021)
Feng, L., Yu, J., Hu, C., Yang, C.D., Jiang, H.J.: Nonseparation method-based finite/fixed-time synchronization of fully complex-valued discontinuous neural networks. IEEE T. Cybern. 51(6), 3212–3223 (2021)
Hu, C., He, H.B., Jiang, H.J.: Synchronization of complex-valued dynamic networks with intermittently adaptive coupling: A direct error method. Automatica 112, 108675 (2020)
Wang, P.F., Zhang, B.G., Su, H.: Stabilization of stochastic uncertain complex-valued delayed networks via aperiodically intermittent nonlinear control. IEEE Trans. Syst. Man Cybern. -Syst. 49(3), 649–662 (2019)
Nitta, T.: Solving the XOR problem and the detection of symmetry using a single complex-valued neuron. Neural Netw. 16(8), 1101–1105 (2003)
Ding, K., Zhu, Q.X., Liu, L.J.: Extended dissipativity stabilization and synchronization of uncertain stochastic reaction-diffusion neural networks via intermittent non-fragile control. J. Frankl. Inst.-Eng. Appl. Math. 356(18), 11690–11715 (2019)
Zhou, H., Song, J., Li, W.X.: Razumikhin method to stability of delay coupled systems with hybrid switching diffusions. Nonlinear Anal.-Hybrid Syst. 38, 100934 (2020)
Wang, P.F., Guo, W. Y., Su, H.: Improved input-to-state stability analysis of impulsive stochastic systems. IEEE Trans. Autom. Control https://doi.org/10.1109/TAC.2021.3075763
Wang, P.F., Wang, X.L., Su, H.: Stability analysis for complex-valued stochastic delayed networks with Markovian switching and impulsive effects. Commun. Nonlinear Sci. Numer. Simulat. 73, 35–51 (2019)
Zhou, H., Li, Y.Y., Li, W.X.: Synchronization for stochastic hybrid coupled controlled systems with Lévy noise. Math. Meth. Appl. Sci. 43(17), 9557–9581 (2020)
Yang, J.J., Lu, J.Q., Lou, J.G., Liu, Y.: Synchronization of drive-response Boolean control networks with impulsive disturbances. Appl. Math. Comput. 364, 124679 (2020)
Xu, D.S., Liu, Y., Liu, M.: Finite-time synchronization of multi-coupling stochastic fuzzy neural networks with mixed delays via feedback control. Fuzzy Sets Syst. 411, 85–104 (2021)
Zhou, H., Li, Y. Y., Li, W. X., Feng, J. Q.: Synchronization of multi-links systems with Lévy noise and application. Appl. Anal. https://doi.org/10.1080/00036811.2020.1811978
Zheng, M.W., Li, L.X., Peng, H.P., Xiao, J.H., Yang, Y.X., Zhang, Y.P., Zhao, H., Ren, J.F.: Finite-time synchronization of complex dynamical networks with multi-links via intermittent controls. Eur. Phys. J. B 89, 43 (2016)
Wang, X., Park, J.H., Yang, H.L., Zhang, X.J., Zhong, S.M.: Delay-dependent fuzzy sampled-data synchronization of T-S fuzzy complex networks with multiple couplings. IEEE Trans. Fuzzy Syst. 28(1), 178–189 (2020)
Liu, Y.J., Guo, B.Z., Park, J.H.: Nonfragile exponential synchronization of delayed complex dynamical networks with memory sampled-data control. IEEE Trans. Neural Netw. Learn. Syst. 29(1), 118–128 (2018)
Zhu, Q.X., Zhang, Q.Y.: \(p\)th moment exponential stabilisation of hybrid stochastic differential equations by feedback controls based on discrete-time state observations with a time delay. IET Control Theory Appl. 11(12), 1992–2003 (2017)
Mao, J., Ahn, C.K., Xiang, Z.R.: Global stabilization for a class of switched nonlinear time-delay systems via sampled-data output-feedback control. IEEE Trans. Syst. Man Cybern. -Syst. https://doi.org/10.1109/TSMC.2020.3048064
Li, S., Ahn, C.K., Guo, J., Xiang, Z.R.: Neural network-based sampled-data control for switched uncertain nonlinear systems. IEEE Trans. Syst. Man Cybern. -Syst. 51(9), 5437–5445 (2021)
Ouyang, D.Q., Shao, J., Jiang, H.J.: Impulsive synchronization of coupled delayed neural networks with actuator saturation and its application to image encryption. Neural Netw. 128, 158–171 (2020)
Rakkiyappan, R., Latha, V.P., Zhu, Q.X.: Exponential synchronization of Markovian jumping chaotic neural networks with sampled-data and saturating actuators. Nonlinear Anal.-Hybrid Syst. 24, 28–44 (2017)
Jiang, B.Y., Hu, Q.L., Friswell, M.I.: Fixed-time attitude control for rigid spacecraft with actuator saturation and faults. IEEE Trans. Control Syst. Technol. 24(5), 1892–1898 (2016)
Li, S., Ahn, C.K., Guo, J., Xiang, Z.R.: Global output feedback sampled-data stabilization of a class of switched nonlinear systems in the p-normal form. IEEE Trans. Syst. Man Cybern. -Syst. 51(2), 1075–1084 (2021)
Wu, Y.B., Zhu, J.L., Li, W.X.: Intermittent discrete observation control for synchronization of stochastic neural networks. IEEE T. Cybern. 50(6), 2414–2424 (2020)
Liu, Y., Liu, J., Li, W. X.: Stabilization of highly nonlinear stochastic coupled systems via periodically intermittent control. IEEE Trans. Autom. Control. https://doi.org/10.1109/TAC.2020.3036035
Zhou, P.P., Cai, S.M., Shen, J.W., Liu, Z.R.: Adaptive exponential cluster synchronization in colored community networks via aperiodically intermittent pinning control. Nonlinear Dyn. 92, 905–921 (2018)
Wu, Y.B., Zhuang, S.X., Li, W.X.: Periodically intermittent discrete observation control for synchronization of the general stochastic complex network. Automatica 110, 108591 (2019)
Guo, R.N., Lu, J.W., Li, Y.M., Lv, W.S.: Fixed-time synchronization of inertial complex-valued neural networks with time delays. Nonlinear Dyn. 105, 1643–1656 (2021)
Sang, H., Zhao, J.: Exponential synchronization and \(L_{2}\)-gain analysis of delayed chaotic neural networks via intermittent control with actuator saturation. IEEE Trans. Neural Netw. Learn. Syst. 30(12), 3722–3734 (2019)
Chen, Y.G., Wang, Z.D., Shen, B.: Exponential synchronization for delayed dynamical networks via intermittent control: Dealing with actuator saturations. IEEE Trans. Neural Netw. Learn. Syst. 30(4), 1000–1012 (2019)
Li, M.Y., Shuai, Z.S.: Global-stability problem for coupled systems of differential equations on networks. J. Differ. Equ. 248(1), 1–20 (2010)
Cao, Y.Y., Lin, Z.L.: Stability analysis of discrete-time systems with actuator saturation by a saturation-dependent Lyapunov function. Automatica 39(7), 1235–1241 (2003)
Wu, W.J., Duan, G.R.: Gain-scheduled control of switched systems subject to actuator saturation. Trans. Inst. Meas. Control 38(2), 223–231 (2016)
Yu, J., Hu, C., Jiang, H.J., Wang, L.M.: Exponential and adaptive synchronization of inertial complex-valued neural networks: A non-reduced order and non-separation approach. Neural Netw. 124, 50–59 (2020)
Babcock, K.L., Westervelt, R.M.: Stability and dynamics of simple electronic neural networks with added inertia. Physica D 23(1–3), 464–469 (1986)
Acknowledgements
The authors really appreciate the editor’s and reviewers’ valuable comments. This work was supported by the Shandong Province Natural Science Foundation (Nos. ZR2018MA005, ZR2018MA020, ZR2017MA008); the Key Project of Science and Technology of Weihai (No. 2014DXGJMS08); and the Innovation Technology Funding Project in Harbin Institute of Technology (No. HIT.NSRIF.201703).
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Zhou, H., Liu, Z. & Li, W. Sampled-data intermittent synchronization of complex-valued complex network with actuator saturations. Nonlinear Dyn 107, 1023–1047 (2022). https://doi.org/10.1007/s11071-021-07028-4
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DOI: https://doi.org/10.1007/s11071-021-07028-4