Skip to main content
Log in

Sampled-data intermittent synchronization of complex-valued complex network with actuator saturations

  • Original Paper
  • Published:
Nonlinear Dynamics Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15

Similar content being viewed by others

Data Availability Statements

All data generated or analyzed during this study are included in this published article.

References

  1. 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)

    Article  MathSciNet  MATH  Google Scholar 

  2. 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)

    Article  MathSciNet  Google Scholar 

  3. 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)

    Article  MATH  Google Scholar 

  4. 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)

    Article  MathSciNet  MATH  Google Scholar 

  5. Hu, C., Jiang, H.J.: Pinning synchronization for directed networks with node balance via adaptive intermittent control. Nonlinear Dyn. 80, 295–307 (2015)

    Article  MATH  Google Scholar 

  6. 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)

    Article  MathSciNet  Google Scholar 

  7. 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

  8. Chen, M.Y.: Synchronization in time-varying networks: a matrix measure approach. Phys. Rev. E 76(1), 016104 (2007)

    Article  MathSciNet  Google Scholar 

  9. 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)

    Article  MathSciNet  MATH  Google Scholar 

  10. 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)

    Article  MathSciNet  Google Scholar 

  11. 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)

    Article  MathSciNet  Google Scholar 

  12. 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)

    Article  MathSciNet  MATH  Google Scholar 

  13. 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)

    Article  MATH  Google Scholar 

  14. 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)

    MathSciNet  MATH  Google Scholar 

  15. 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)

    Article  Google Scholar 

  16. 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)

    Article  Google Scholar 

  17. 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)

    Article  Google Scholar 

  18. 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)

    Article  MathSciNet  MATH  Google Scholar 

  19. 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)

    Article  Google Scholar 

  20. Nitta, T.: Solving the XOR problem and the detection of symmetry using a single complex-valued neuron. Neural Netw. 16(8), 1101–1105 (2003)

    Article  Google Scholar 

  21. 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)

    Article  MathSciNet  MATH  Google Scholar 

  22. 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)

    Article  MathSciNet  MATH  Google Scholar 

  23. 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

  24. 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)

    Article  MathSciNet  MATH  Google Scholar 

  25. 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)

    Article  MATH  Google Scholar 

  26. 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)

    MathSciNet  MATH  Google Scholar 

  27. 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)

    Article  MathSciNet  MATH  Google Scholar 

  28. 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

  29. 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)

    Article  MathSciNet  Google Scholar 

  30. 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)

    Article  Google Scholar 

  31. 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)

    Article  MathSciNet  Google Scholar 

  32. 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)

    Article  MathSciNet  Google Scholar 

  33. 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

  34. 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)

    Article  Google Scholar 

  35. 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)

    Article  MATH  Google Scholar 

  36. 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)

    Article  MathSciNet  MATH  Google Scholar 

  37. 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)

    Article  Google Scholar 

  38. 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)

    Article  Google Scholar 

  39. 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)

    Article  Google Scholar 

  40. 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

  41. 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)

    Article  MATH  Google Scholar 

  42. 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)

    Article  MathSciNet  MATH  Google Scholar 

  43. 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)

    Article  Google Scholar 

  44. 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)

    Article  MathSciNet  Google Scholar 

  45. 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)

    Article  MathSciNet  Google Scholar 

  46. 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)

    Article  MathSciNet  MATH  Google Scholar 

  47. 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)

    Article  MathSciNet  MATH  Google Scholar 

  48. 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)

    Article  Google Scholar 

  49. 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)

    Article  MATH  Google Scholar 

  50. 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)

    Article  Google Scholar 

Download references

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).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Wenxue Li.

Ethics declarations

Conflict of Interest

The authors declare that they have no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

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

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11071-021-07028-4

Keywords

Navigation