Nonlinear Dynamics

, Volume 63, Issue 3, pp 417–427 | Cite as

Bifurcation dynamics of the modified physiological model of artificial pancreas with insulin secretion delay

Original Paper

Abstract

In this paper, we modify the original physiological model of artificial pancreas by introducing the insulin secretion time delay. The non-resonant double Hopf bifurcation is analyzed by the Center Manifold Theorem and Normal Form Method. Numerical results supporting the theoretical analysis are presented in some typical parameter regions. It is shown that the critical value of technological delay and the area of death island of the non-resonant double Hopf bifurcation in the modified model are far less than those in the original model. This implies that when the secretion delay appears, the smaller technological delay can induce the double Hopf bifurcation. In addition, the region IV with complex coexisting bi-stability also decreases sharply. Furthermore, the rich dynamics such as various period, quasi-period and chaotic behaviors are found when some key parameters are changed. The obtained results can have important theoretical guidance for the diagnosis and treatment of diabetes patients.

Keywords

Modified physiological model Delay Non-resonant double Hopf bifurcation 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Engelborghs, K., Lemaire, V., Belair, J., Roose, D.: Numerical bifurcation analysis of delay differential equations arising from physiological modeling. J. Math. Biol. 42(42), 361–385 (2001) MATHCrossRefMathSciNetGoogle Scholar
  2. 2.
    The Diabetes Control and Complications Trial Research Group: The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin dependent diabetes mellitus. New England J. Med. 329(14), 977–986 (1993) CrossRefGoogle Scholar
  3. 3.
    Pfeiffer, E.F., Thum, C., Clemens, A.H.: The artificial beta cella continuous control of blood sugar by external regulation of insulin. Horm. Metab. Res. 6(7), 339–342 (1974) CrossRefGoogle Scholar
  4. 4.
    Mirouze, J., Selam, J.L., Pham, T.C., Cavadore, D.: Evaluation of exogenous insulin homoeostasis by the artificial pancreas in insulin-dependent diabetes. Diabetologia 13(3), 273–278 (1977) CrossRefGoogle Scholar
  5. 5.
    Heinemann, L., Ampudia-Blasco, F.J.: Glucose clamps with the biostator: a critical reappraisal. Horm. Metab. Res. 26(12), 579–583 (1994) CrossRefGoogle Scholar
  6. 6.
    Sternberg, F., et al.: Subcutaneous glucose concentration in humans: real estimation and continuous monitoring. Diabetes Care 18(9), 1266–1269 (1995) CrossRefGoogle Scholar
  7. 7.
    Tamada, J.A., Bohannon, N.J., Potts, R.O.: Measurement of glucose in diabetic subjects using noninvasive transdermal extraction. Nat. Med. 1(11), 1198–1201 (1995) CrossRefGoogle Scholar
  8. 8.
    Li, J., Kuang, Y., Mason, C.: Modeling the glucose-insulin regulatory system and ultradian insulin secretory oscillations with two time delays. J. Theor. Biol. 242, 722–735 (2006) CrossRefMathSciNetGoogle Scholar
  9. 9.
    Makroglou, A., Li, J., Kuang, Y.: Mathematical models and software tools for the glucose-insulin regulatory system and diabetes: an overview. Appl. Numer. Math. 56, 559–573 (2006) MATHCrossRefMathSciNetGoogle Scholar
  10. 10.
    Li, J., Kuang, Y.: Analysis of a model of the glucose-insulin regulatory system with two delays. SIAM J. Appl. Math. 67(3), 757–776 (2007) MATHCrossRefMathSciNetGoogle Scholar
  11. 11.
    Xu, J., Pei, L.: Effects of technological delay on insulin and blood glucose in a physiological model. Int. J. Non-Linear Mech. 45(6), 628–633 (2010) CrossRefGoogle Scholar
  12. 12.
    Takens, F.: Singularities of vector fields. Publ. Math. deLIHE S 43(1), 47–100 (1974) MathSciNetGoogle Scholar
  13. 13.
    Guckenheimer, J., Holmes, P.: Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields. Springer, New York (1983) MATHGoogle Scholar
  14. 14.
    Xu, J., Chung, K.W.: Effects of time delayed position feedback on a van der Pol–Duffing oscillator. Physica D 180(1–2), 17–39 (2003) MATHCrossRefMathSciNetGoogle Scholar
  15. 15.
    Pei, L.J., Xu, J.: Nonresonant double Hopf bifurcation in delayed Stuart–Landau system. J. Vib. Eng. 18(1), 1–6 (2005) Google Scholar
  16. 16.
    Xu, J., Chung, K.W., Chan, C.L.: An efficient method for studying resonant double Hopf bifurcation in nonlinear systems with delayed feedbacks. SIAM J. Appl. Dyn. Syst. 6(1), 29–60 (2007) MATHCrossRefMathSciNetGoogle Scholar
  17. 17.
    Xu, J., Pei, L.J.: The nonresonant double Hopf bifurcation in delayed neural network. Int. J. Comput. Math. 85(1) (2008) Google Scholar
  18. 18.
    Hale, J.K.: Theory of Functional Differential Equations. Springer, New York (1977) MATHGoogle Scholar
  19. 19.
    Nayfeh, A.H.: Method of Normal Forms. Wiley, New York (1993) Google Scholar

Copyright information

© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  1. 1.Department of MathematicsZhengzhou UniversityZhengzhou, HenanP.R. China
  2. 2.Department of Dynamics and ControlBeihang UniversityBeijingP.R. China

Personalised recommendations