Skip to main content
Log in

State feedback control at Hopf bifurcation in an exponential RED algorithm model

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

Abstract

In this paper, we show that a state feedback method, which has successfully been used to control unstable steady states or periodic orbits, provides a tool to control the Hopf bifurcation for a novel congestion control model, i.e., the exponential RED algorithm with a single link and single source. We choose the gain parameter as the bifurcation parameter. Without control, the bifurcation will occur early; meanwhile, the model can maintain a stationary sending rate only in a certain domain of the gain parameter. However, outside of this domain the model still possesses a stable sending rate that can be guaranteed by the state feedback control, and the onset of the undesirable Hopf bifurcation is postponed. Numerical simulations are given to justify the validity of the state feedback controller in the bifurcation control.

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

Similar content being viewed by others

References

  1. Chen, G.R., Moiola, J.L., Wang, H.O.: Bifurcation control: theories, methods and applications. Int. J. Bifurc. Chaos 10, 511–548 (2000)

    MATH  MathSciNet  Google Scholar 

  2. Abed, E.H., Fu, J.H.: Local feedback stabilization and bifurcation control: I. Hopf bifurcation. Syst. Control Lett. 7, 11–17 (1986)

    Article  MATH  MathSciNet  Google Scholar 

  3. Wang, H., Abed, E.H.: Bifurcation control of a chaotic system. Automatica 31, 1213–1226 (1995)

    Article  MATH  MathSciNet  Google Scholar 

  4. Tesi, A., Abed, E.H., Genesio, R., Wang, H.O.: Harmonic balance analysis of period-doubling bifurcations with implications for control of nonlinear dynamics. Automatica 32, 1255–1271 (1996)

    Article  MATH  MathSciNet  Google Scholar 

  5. Pyragas, K., Pyragas, V., Benner, H.: Delayed feedback control of dynamical systems at a subcritical Hopf bifurcation. Phys. Rev. E 70, 056222 (2004)

    Article  Google Scholar 

  6. Yu, P., Chen, G.R.: Hopf bifurcation control using nonlinear feedback with polynomial functions. Int. J. Bifurc. Chaos 14, 1683–1704 (2004)

    Article  MATH  Google Scholar 

  7. Just, W., Fiedler, B., Georgi, M., Flunkert, V., Hövel, P., Schöll, E.: Beyond the odd number limitation: a bifurcation analysis of time-delayed feedback control. Phys. Rev. E 76, 026210 (2007)

    Article  MathSciNet  Google Scholar 

  8. Liu, F., Guan, Z., Wang, H., Li, Y.: Impulsive control of bifurcations. Math. Comput. Simul. 79, 2180–2191 (2009)

    Article  MATH  MathSciNet  Google Scholar 

  9. Xiao, M., Daniel, W.C., Cao, J.: Time-delayed feedback control of dynamical small-world networks at Hopf bifurcation. Nonlinear Dyn. 58, 319–344 (2009)

    Article  MATH  Google Scholar 

  10. Nguyen, L.H., Hong, K.S.: Hopf bifurcation control via a dynamic state-feedback control. Phys. Lett. A 376, 442–446 (2012)

    Article  MATH  MathSciNet  Google Scholar 

  11. Kelly, F.P., Maulloo, A.K., Tan, D.K.H.: Rate control for communication networks: shadow prices, proportional fairness and stability. J. Oper. Res. Soc. 49, 237–252 (1998)

    MATH  Google Scholar 

  12. Jacobson, V.: Congestion avoidance and control. ACM SIGCOMM Comput. Commun. Rev. 18, 314–329 (1998)

    Article  Google Scholar 

  13. Huang, Z., Yang, Q., Cao, J.: The stochastic stability and bifurcation behavior of an Internet congestion control model. Math. Comput. Model. 54, 1954–1965 (2011)

    Article  MATH  MathSciNet  Google Scholar 

  14. Floyd, S., Jacobson, V.: Random early detection gateways for congestion avoidance. IEEE Trans. Netw. 1, 397–413 (1993)

    Article  Google Scholar 

  15. Athuraliya, S., Low, S., Li, V., Yin, Q.: REM: active queue management. IEEE Trans. Netw. 15, 48–53 (2001)

    Article  Google Scholar 

  16. Gibbens, R., Kelly, F.: Resource pricing and the evolution of congestion control. Automatica 35, 1969–1985 (1999)

    Article  MATH  MathSciNet  Google Scholar 

  17. Kunniyur, S., Srikant, R.: Analysis and design of adaptive virtual queue algorithm for active queue management. ACM Comput. Commun. Rev. 31, 123–134 (2001)

    Article  Google Scholar 

  18. Li, C.G., Chen, G.R., Liao, X.F.: Hopf bifurcation in an Internet congestion control model. Chaos Solitions Fractals 19, 853–862 (2004)

    Article  MATH  MathSciNet  Google Scholar 

  19. Chen, Z., Yu, P.: Hopf bifurcation control for an Internet congestion model. Int. J. Bifurc. Chaos 15, 2643–2651 (2005)

    Article  MATH  Google Scholar 

  20. Xiao, M., Cao, J.: Delayed feedback-based bifurcation control in an Internet congestion model. J. Math. Anal. Appl. 332, 1010–1027 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  21. Xiao, M., Zheng, W.X., Cao, J.: Bifurcation control of a congestion control model via state feedback. Int. J. Bifurc. Chaos 23, 1330018 (2013)

    Article  MathSciNet  Google Scholar 

  22. Ding, D., Zhu, J., Luo, X.: Hopf bifurcation analysis in a fluid flow model of internet congestion control algorithm. Nonlinear Anal. Real World Appl. 10, 824–839 (2009)

    Google Scholar 

  23. Ding, D., Zhu, J., Luo, X., Liu, Y.: Controlling Hopf bifurcation in fluid flow model of Internet congestion control system. Int. J. Bifurc. Chaos 19, 1415–1424 (2009)

    Article  MATH  MathSciNet  Google Scholar 

  24. Guo, S., Liao, X., Li, C.: Stability and Hopf bifurcation analysis in a novel congestion control model with communication delay. Nonlinear Anal. Real World Appl. 9, 1292–1309 (2008)

    Article  MATH  MathSciNet  Google Scholar 

  25. Guo, S., Liao, X., Liu, Q., Li, C.: Necessary and sufficient conditions for Hopf bifurcation in exponential RED algorithm with communication delay. Nonlinear Anal. Real World Appl. 9, 1768–1793 (2008)

    Article  MATH  MathSciNet  Google Scholar 

  26. Guo, S., Feng, G., Liao, X., Liu, Q.: Hopf bifurcation control in a congestion control model via dynamic delayed feedback. Chaos 18, 043104 (2008)

    Article  MathSciNet  Google Scholar 

  27. Guo, S., Zheng, H., Liu, Q.: Hopf bifurcation analysis for congestion control with heterogeneous delays. Nonlinear Anal. Real World Appl. 11, 3077–3090 (2010)

    Article  MATH  MathSciNet  Google Scholar 

  28. Hu, H., Huang, L.: Linear stability and Hopf bifurcation in an exponential RED algorithm model. Nonlinear Dyn. 59, 463–475 (2010)

    Article  MATH  MathSciNet  Google Scholar 

  29. Liu, F., Guan, Z., Wang, H.: Stability and Hopf bifurcation analysis in a TCP fluid model. Nonlinear Anal. Real World Appl. 12, 353–363 (2011)

    Article  MATH  MathSciNet  Google Scholar 

  30. Liu, F., Wang, H., Guan, Z.: Hopf bifurcation control in the XCP for the Internet congestion control system. Nonlinear Anal. Real World Appl. 13, 1466–1479 (2012)

    Article  MATH  MathSciNet  Google Scholar 

  31. Rezaie, B., Jahed Motlagh, M.R., Khorsandi, S., Analoui, M.: Hopf bifurcation analysis on an Internet congestion control system of arbitrary dimension with communication delay. Nonlinear Anal. Real World Appl. 11, 3842–3857 (2010)

    Article  MATH  MathSciNet  Google Scholar 

  32. Hale, J.: Theory of Functional Differential Equations. Springer, New York (1977)

    Book  MATH  Google Scholar 

  33. Hassard, B., Kazarinoff, N., Wan, Y.: Theory and Applications of Hopf Bifurcation. Cambridge University Press, Cambridge (1981)

    MATH  Google Scholar 

  34. Nayfeh, A.H., Harb, A.M., Chin, C.M.: Bifurcations in a power system model. Int. J. Bifurc. Chaos 14, 497–512 (1996)

    Article  Google Scholar 

Download references

Acknowledgments

This work was supported in part by the National Natural Science Foundation of China (Grant Nos. 61203232, 61374180, and 71171050), the Natural Science Foundation of Jiangsu Province of China (Grant No. BK2012072), and the China Postdoctoral Science Foundation funded project (Grant No. 2013M530229).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Min Xiao.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Xiao, M., Jiang, G. & Zhao, L. State feedback control at Hopf bifurcation in an exponential RED algorithm model. Nonlinear Dyn 76, 1469–1484 (2014). https://doi.org/10.1007/s11071-013-1221-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11071-013-1221-0

Keywords

Navigation