Skip to main content
Log in

Stabilization of fractional-order coupled systems with time delay on networks

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

Abstract

Stabilization problem for a class of fractional-order nonlinear coupled systems on networks is addressed in the paper. By using Kirchhoff’s matrix tree theory and comparison principle, a state feedback control law is presented to stabilize such systems. The controller design approach could be adapted to many classes of fractional-order delayed coupled systems in ecology, biology and engineering. An example is presented to illustrate the effectiveness of our proposed method.

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

Similar content being viewed by others

References

  1. Li, M., Shuai, Z.: Global-stability problem for coupled systems of differential equations on networks. J. Differ. Equ. 248(1), 1–20 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  2. Lu, W., Li, X., Rong, Z.: Global stabilization of complex networks with digraph topologies via a local pinning algorithm. Automatica 46(1), 116–121 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  3. Ji, Y., Liu, X.: Unified synchronization criteria for hybrid switching-impulsive dynamical networks. Circuits Syst. Signal Process 34, 1499–1517 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  4. Kim, H., Shim, H., Back, J., Seo, J.: Consensus of output-coupled linear multi-agent systems under fast switching network: Averaging approach. Automatica 49(1), 267–272 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  5. Zhou, L., Wang, C., Zhou, L.: Cluster synchronization on multiple sub-networks of complex networks with nonidentical nodes via pinning control. Nonlinear Dyn. 83(1–2), 1079–1100 (2016)

    Article  MathSciNet  MATH  Google Scholar 

  6. Dias, A., Lamb, J.: Local bifurcation in symmetric coupled cell networks: linear theory. Phys. D 223(1), 93–108 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  7. Atay, F., Karabacak, O.: Stability of coupled map networks with delays. SIAM J. Appl. Dyn. Syst. 5(3), 508–527 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  8. Chen, H., Sun, J.: Stability analysis for coupled systems with time delay on networks. Phys. A 391(3), 528–534 (2012)

    Article  MathSciNet  Google Scholar 

  9. Ji, Y., Liu, X., Ding, F.: New criteria for the robust impulsive synchronization of uncertain chaotic delayed nonlinear systems. Nonlinear Dyn. 79, 1–9 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  10. Zhang, H., Zhao, M., Wang, Z., Wu, Z.: Adaptive synchronization of an uncertain coupling complex network with time-delay. Nonlinear Dyn. 77(3), 643–653 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  11. Liu, H., Wang, X.Y., Tan, G.: Adaptive cluster synchronization of directed complex networks with time delays. Plos ONE 9(4), e95505 (2014)

    Article  Google Scholar 

  12. 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)

    Article  MathSciNet  MATH  Google Scholar 

  13. Stamova, I.M., Ilarionov, R.: On global exponential stability for impulsive cellular neural networks with time-varying delays. Comput. Math. Appl. 59(11), 3508–3515 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  14. Kaslik, E., Sivasundaram, S.: Nonlinear dynamics and chaos in fractional-order neural networks. Neural Netw. 32, 245–256 (2012)

    Article  MATH  Google Scholar 

  15. Wang, H., Yu, Y., Wen, G.: Stability analysis of fractional-order Hopfield neural networks with time delays. Neural Netw. 55, 98–109 (2014)

    Article  MATH  Google Scholar 

  16. Hanert, E., Schumacher, E., Deleersnijder, E.: Front dynamics in fractional-order epidemic models. J. Theor. Biol. 279(1), 9–16 (2011)

    Article  MathSciNet  Google Scholar 

  17. El-Saka, H.: The fractional-order SIR and SIRS epidemic models with variable population size. Math. Sci. Lett. 3, 195–200 (2013)

    Article  Google Scholar 

  18. Piush, K., Som, T.: Fractional ecosystem model and its solution by homotopy perturbation method. Int. J. Ecosyst. 2(5), 140–149 (2012)

    Article  Google Scholar 

  19. Yu, Y., Deng, W.H., Wu, Y.: Positivity and boundedness preserving schemes for space-time fractional predator-prey reaction-diffusion model. Comput. Math. Appl. 69(8), 743–759 (2015)

    Article  MathSciNet  Google Scholar 

  20. Zhu, J., Chen, D., Zhao, H., Ma, R.: Nonlinear dynamic analysis and modeling of fractional permanent magnet synchronous motors. J. Vib. Control 22(7), 1855–1875 (2014)

    Article  MathSciNet  Google Scholar 

  21. Hu, J., Lu, G., Zhao, L.: Synchronization of fractional chaotic complex networks with distributed delays. Nonlinear Dyn. 83(1–2), 1101–1108 (2016)

    Article  MathSciNet  MATH  Google Scholar 

  22. Wang, J., Ma, Q., Chen, A., Liang, Z.: Pinning synchronization of fractional-order complex networks with Lipschitz-type nonlinear dynamics. ISA Trans. 57, 111–116 (2015)

    Article  Google Scholar 

  23. Podlubny, I.: Fractional Differential Equations. Academic Press, San Diego (1999)

    MATH  Google Scholar 

  24. Li, W., Yang, H., Wen, L., Wang, K.: Global exponential stability for coupled retarded systems on networks: A graph-theoretic approach. Commun. Nonlinear Sci. Numer. Simul. 19, 651–1660 (2014)

    MathSciNet  Google Scholar 

  25. Aguila-Camacho, N., Duarte-Mermoud, M.A., Gallegos, J.A.: Lyapunov functions for fractional order systems. Commun. Nonlinear Sci. Numer. Simul. 19, 2951C2957 (2014)

    Article  MathSciNet  Google Scholar 

  26. Wang, H., Yu, Y., Wen, G., Zhang, S., Yu, J.: Global stability analysis of fractional-order Hopfield neural networks with time delay. Neurocomputing 154, 15–23 (2015)

    Article  Google Scholar 

  27. Chen, L., Wu, R., Cao, J., Liu, J.: Stability and synchronization of memristor-based fractional-order delayed neural networks. Neural Netw. 71, 37–44 (2015)

    Article  Google Scholar 

  28. Wong, W., Li, H., Leung, S.: Robust synchronization of fractional-order complex dynamical networks with parametric uncertainties. Commun. Nonlinear Sci. Numer. Simul. 17(12), 4877–4890 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  29. Wang, J., Zeng, C.: Synchronization of fractional-order linear complex networks. ISA Trans. 55, 129–134 (2015)

    Article  Google Scholar 

  30. Wang, J., Zhang, Y.: Robust projective outer synchronization of coupled uncertain fractional-order complex networks. Cent. Eur. J. Phys. 11(6), 813–823 (2013)

    Google Scholar 

  31. Wang, G., Xiao, J., Wang, Y., Yi, J.: Adaptive pinning cluster synchronization of fractional-order complex dynamical networks. Appl. Math. Comput. 231, 347–356 (2014)

    MathSciNet  Google Scholar 

  32. Si, G., Sun, Z., Zhang, H., Zhang, Y.: Parameter estimation and topology identification of uncertain fractional order complex networks. Commun. Nonlinear Sci. Numer. Simul. 17(12), 5158–5171 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  33. Xu, L., Chen, L., Xiong, W.: Parameter estimation and controller design for dynamic systems from the step responses based on the Newton iteration. Nonlinear Dyn. 79, 2155–2163 (2015)

    Article  MathSciNet  Google Scholar 

  34. Xu, L.: Application of the Newton iteration algorithm to the parameter estimation for dynamical systems. J. Comput. Appl. Math. 288, 33–43 (2015)

  35. Xu, L.: The damping iterative parameter identification method for dynamical systems based on the sine signal measurement. Signal Process. 120, 660–667 (2016)

    Article  Google Scholar 

  36. Wang, Y., Ding, F.: Novel data filtering based parameter identification for multiple-input multiple-output systems using the auxiliary model. Automatica 71, 308–313 (2016)

    Article  MathSciNet  MATH  Google Scholar 

  37. Wang, Y., Ding, F.: Filtering-based iterative identification for multivariable systems. IET Control Theory Appl. 10(8), 894–902 (2016)

    Article  MathSciNet  Google Scholar 

  38. Wang, Y., Ding, F.: Recursive least squares algorithm and gradient algorithm for HammersteinWiener systems using the data filtering. Nonlinear Dyn. 84, 1045–1053 (2016)

    Article  MathSciNet  MATH  Google Scholar 

  39. Cafagna, D., Grassi, G.: Fractional-order Chua’s circuit: time-domain analysis, bifurcation, chaotic behavior and test for chaos. Int. J. Bifurc. Chaos 18(3), 615–639 (2008)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Acknowledgements

The authors would like to thank the anonymous referees and the editor for their valuable comments and suggestions. This work was supported by the National Natural Science Funds of China (No.61403115; 11571016; 51177035; 51577046), the State Key Program of National Natural Science Foundation of China(No. 51637004), the national key research and development plan “important scientific instruments and equipment development” (No.2016YFF0102200), the Natural Science Foundation of Anhui Province (No. 1508085QF120) and the Fundamental Research Funds for the Central Universities(No. JZ2016HGTB0718; No. JZ2016HGXJ0022).

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Liping Chen or Yigang He.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chen, L., Wu, R., Chu, Z. et al. Stabilization of fractional-order coupled systems with time delay on networks. Nonlinear Dyn 88, 521–528 (2017). https://doi.org/10.1007/s11071-016-3257-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11071-016-3257-4

Keywords

Navigation