Abstract
This paper focuses on the stability of stochastic complex-valued delayed networks with multiple nonlinear links and impulsive effects. Different from the previous work, the links among nodes are multiple and can be nonlinear. Besides, the features of complex variables, time-varying delays and stochastic perturbations are taken into account. By utilizing complex version Itô’s formula, impulsive differential inequalities with multiple delays and graph-theoretical technique, several stability criteria are given without splitting the real and imaginary parts. These stability criteria show that if the impulsive dynamics is stable while continuous dynamics is not, it requires the dwell time of impulsive sequences to be small. Conversely, if the continuous dynamics is stable while impulsive dynamics is not, it requires the dwell time of impulsive sequences to be large. Then the theoretical results are applied to a class of stochastic complex-valued coupled oscillators. The numerical examples are carried out for demonstration purpose.
Similar content being viewed by others
References
Li, M.Y., Shuai, Z.: Global-stability problem for coupled systems of differential equations on networks. J. Differ. Equations 248, 1–20 (2010)
Liu, Y., Li, W., Feng, J.: Graph-theoretical method to the existence of stationary distribution of stochastic coupled systems. J. Dyn. Differ. Equ. 30(2), 667–685 (2018)
Liu, Y., Li, W., Feng, J.: The stability of stochastic coupled systems with time-varying coupling and general topology structure. IEEE Trans. Neural Netw. Learn. Syst. 29(9), 4189–4200 (2018)
Xu, Y., Zhou, H., Li, W.: Stabilisation of stochastic delayed systems with Levy noise on networks via periodically intermittent control. Int. J. Control (2018). https://doi.org/10.1080/00207179.2018.1479538
Li, H., Jiang, Y., Wang, Z., Zhang, L., Teng, Z.: Global Mittag–Leffler stability of coupled system of fractional-order differential equations on network. Appl. Math. Comput. 270, 269–277 (2016)
Guo, Y., Wang, Y., Ding, X.: Global exponential stability for multi-group neutral delayed systems based on Razumikhin method and graph theory. J. Frankl. Inst. Eng. Appl. Math. 355, 3122–3144 (2018)
Wu, Y., Chen, B., Li, W.: Synchronization of stochastic coupled systems via feedback control based on discrete-time state observations. Nonlinear Anal. Hybrid Syst. 26, 68–85 (2017)
Li, X., Yang, G.: Neural-network-based adaptive decentralized fault-tolerant control for a class of interconnected nonlinear systems. IEEE Trans. Neural Netw. Learn. Syst. 29, 144–155 (2018)
Wang, P., Feng, J., Su, H.: Stabilization of stochastic delayed networks with Markovian switching and hybrid nonlinear coupling via aperiodically intermittent control. Nonlinear Anal. Hybrid. Syst. 32, 115–130 (2019)
Zhang, C., Chen, T.: Exponential stability of stochastic complex networks with multi-weights based on graph theory. Phys. A 496, 602–611 (2018)
Wang, J., Qin, Z., Wu, H., Huang, T., Wei, P.: Analysis and pinning control for output synchronization and \(\cal{H} _{\infty }\) output synchronization of multiweighted complex networks. IEEE Trans. Cybern. (2019). https://doi.org/10.1109/TCYB.2018.2799969
Zhao, H., Li, L., Peng, H., Xiao, J., Yang, Y., Zheng, M.: Impulsive control for synchronization and parameters identification of uncertain multi-links complex network. Nonlinear Dyn. 83(3), 1437–1451 (2016)
Hu, Q., Peng, H., Wang, Y., Hu, Z., Yang, Y.: Pinning adaptive synchronization of complex dynamical network with multi-links. Nonlinear Dyn. 69(4), 1813–1824 (2012)
Li, N., Sun, H., Jin, X., Zhang, Q.: Exponential synchronisation of united complex dynamical networks with multi-links via adaptive periodically intermittent control. IET Control Theory Appl. 13, 1725–1736 (2013)
Zhang, Y., Sun, J.: Stability of impulsive functional differential equations. Nonlinear Anal. 68, 3665–3678 (2008)
Sivaranjani, K., Rakkiyappan, R.: Delayed impulsive synchronization of nonlinearly coupled Markovian jumping complex dynamical networks with stochastic perturbations. Nonlinear Dyn. 88(3), 1917–1934 (2017)
Li, B.: Stability of stochastic functional differential equations with impulses by an average approach. Nonlinear Anal. Hybrid. Syst. 29, 221–233 (2018)
Yang, X., Yang, Z.: Synchronization of TS fuzzy complex dynamical networks with time-varying impulsive delays and stochastic effects. Fuzzy Sets Syst. 235, 25–43 (2014)
Bao, H., Park, J.H., Cao, J.: Exponential synchronization of coupled stochastic memristor-based neural networks with time-varying probabilistic delay coupling and impulsive delay. IEEE Trans. Neural Netw. Learn. Syst. 27, 190–201 (2016)
Song, Q., Yan, H., Zhao, Z., Liu, Y.: Global exponential stability of complex-valued neural networks with both time-varying delays and impulsive effects. Neural Netw. 79, 108–116 (2016)
Zhao, S., Sun, J., Wu, H.: Stability of linear stochastic differential delay systems under impulsive control. IET Control Theory Appl. 3(11), 1547–1552 (2009)
Ho, D., Liang, J., Lam, J.: Global exponential stability of impulsive high-order BAM neural networks with time-varying delays. Neural Netw. 19, 1581–1590 (2006)
Zheng, S.: Stability of uncertain impulsive complex-variable chaotic systems with time-varying delays. ISA Trans. 58, 20–26 (2015)
Yang, C.: Stability and quantization of complex-valued nonlinear quantum systems. Chaos Solitons Fractals 42, 711–723 (2009)
Nitta, T.: Solving the XOR problem and the detection of symmetry using a single complex-valued neuron. Neural. Netw. 16, 1101–1105 (2003)
Hirose, A.: Complex-Valued Neural Network: Advances and Applications. Wiley, Hoboken (2013)
Rakkiyappan, R., Velmurugan, G., Cao, J.: Finite-time stability analysis of fractional-order complex-valued memristor-based neural networks with time delays. Nonlinear Dyn. 78(4), 2823–2836 (2014)
Wang, H., Duang, T., Huang, T., Wang, L., Li, C.: Exponential stability of complex-valued memristive recurrent neural networks. IEEE Trans. Neural Netw. Learn. Syst. 28, 766–771 (2017)
Xu, D., Tan, M.: Delay-independent stability criteria for complex-valued BAM neutral-type neural networks with time delays. Nonlinear Dyn. 89(2), 819–832 (2017)
Bao, H., Park, J.H., Cao, J.: Synchronization of fractional-order complex-valued neural networks with time delay. Neural Netw. 81, 16–28 (2016)
Liu, D., Zhu, S., Sun, K.: Global anti-synchronization of complex-valued memristive neural networks with time delays. IEEE T. Cybern. (2018). https://doi.org/10.1109/TCYB.2018.2812708
Zhang, S., Xia, Y., Wang, J.: A complex-valued projection neural networks for constrained optimization of real functions in complex variables. IEEE Trans. Neural Netw. Learn. Syst. 26, 3227–3238 (2015)
Fang, T., Sun, J.: Stability of complex-valued impulsive and switching system and application to the Lü system. Nonlinear Anal. Hybrid. Syst. 14, 38–46 (2014)
Zhu, S., Yang, Q., Shen, Y.: Noise further expresses exponential decay for globally exponentially stable time-varying delayed neural networks. Neural Netw. 77, 7–13 (2016)
Wu, Y., Wang, C., Li, W.: Generalized quantized intermittent control with adaptive strategy on finite-time synchronization of delayed coupled systems and applications. Nonlinear Dyn. (2018). https://doi.org/10.1007/s11071-018-4633-z
Li, S., Su, H., Ding, X.: Synchronized stationary distribution of hybrid stochastic coupled systems with applications to coupled oscillators and a Chua’s circuits network. J. Frankl. Inst. Eng. Appl. Math. 355(17), 8743–8765 (2018)
Wang, P., Hong, Y., Su, H.: Stabilization of stochastic complex-valued coupled delayed systems with Markovian switching via periodically intermittent control. Nonlinear Anal. Hybrid. Syst. 29, 395–413 (2018)
Wang, P., Zhang, B., Su, H.: Stabilization of stochastic uncertain complex-valued delayed networks via aperiodically intermittent nonlinear control. IEEE Trans. Syst. Man Cybern. Syst. (2018). https://doi.org/10.1109/TSMC.2018.2818129
Wu, E., Yang, X.: Adaptive synchronization of coupled nonidentical chaotic systems with complex variables and stochastic perturbations. Nonlinear Dyn. 84(1), 261–269 (2016)
Wang, P., Jin, W., Su, H.: Synchronization of coupled stochastic complex-valued dynamical networks with time-varying delays via aperiodically intermittent adaptive control. Chaos 28, 043114 (2018)
West, D.B.: Introduction to Graph Theory. Prentice Hall, Upper Saddle River (1996)
Ubøe, J.: Conformal martingales and analytic functions. Math. Scand. 60, 292–309 (1987)
Kreutz-Delgado, K.: The complex gradient operator and the \({\mathbb{CR}}\)-calculus. The Department of Electrical and Computer Engineering, University of California, San Diego, CA, USA (2009)
Acknowledgements
This work was supported by the NNSF of China (Nos. 11671072, 61773137); 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
Corresponding author
Ethics declarations
Conflict of interest
No potential conflict of interest was reported by the authors.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Wang, P., Sun, Z., Fan, M. et al. Stability analysis for stochastic complex-valued delayed networks with multiple nonlinear links and impulsive effects. Nonlinear Dyn 97, 1959–1976 (2019). https://doi.org/10.1007/s11071-019-04888-9
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11071-019-04888-9