Bifurcation and control for a discrete-time prey-predator model with Holling-IV functional response

Qiaoling Chen; Zhidong Teng; Zengyun Hu

International Journal of Applied Mathematics and Computer Science (2013)

  • Volume: 23, Issue: 2, page 247-261
  • ISSN: 1641-876X

Abstract

top
The dynamics of a discrete-time predator-prey model with Holling-IV functional response are investigated. It is shown that the model undergoes a flip bifurcation, a Hopf bifurcation and a saddle-node bifurcation by using the center manifold theorem and bifurcation theory. Numerical simulations not only exhibit our results with the theoretical analysis, but also show the complex dynamical behaviors, such as the period-3, 6, 9, 12, 20, 63, 70, 112 orbits, a cascade of period-doubling bifurcations in period-2, 4, 8, 16, quasi-periodic orbits, an attracting invariant circle, an inverse period-doubling bifurcation from the period-32 orbit leading to chaos and a boundary crisis, a sudden onset of chaos and a sudden disappearance of the chaotic dynamics, attracting chaotic sets and non-attracting sets. We also observe that when the prey is in chaotic dynamics the predator can tend to extinction or to a stable equilibrium. Specifically, we stabilize the chaotic orbits at an unstable fixed point by using OGY chaotic control.

How to cite

top

Qiaoling Chen, Zhidong Teng, and Zengyun Hu. "Bifurcation and control for a discrete-time prey-predator model with Holling-IV functional response." International Journal of Applied Mathematics and Computer Science 23.2 (2013): 247-261. <http://eudml.org/doc/257117>.

@article{QiaolingChen2013,
abstract = {The dynamics of a discrete-time predator-prey model with Holling-IV functional response are investigated. It is shown that the model undergoes a flip bifurcation, a Hopf bifurcation and a saddle-node bifurcation by using the center manifold theorem and bifurcation theory. Numerical simulations not only exhibit our results with the theoretical analysis, but also show the complex dynamical behaviors, such as the period-3, 6, 9, 12, 20, 63, 70, 112 orbits, a cascade of period-doubling bifurcations in period-2, 4, 8, 16, quasi-periodic orbits, an attracting invariant circle, an inverse period-doubling bifurcation from the period-32 orbit leading to chaos and a boundary crisis, a sudden onset of chaos and a sudden disappearance of the chaotic dynamics, attracting chaotic sets and non-attracting sets. We also observe that when the prey is in chaotic dynamics the predator can tend to extinction or to a stable equilibrium. Specifically, we stabilize the chaotic orbits at an unstable fixed point by using OGY chaotic control.},
author = {Qiaoling Chen, Zhidong Teng, Zengyun Hu},
journal = {International Journal of Applied Mathematics and Computer Science},
keywords = {discrete prey-predator model; flip bifurcation; Hopf bifurcation; saddle-node bifurcation; OGY chaotic control},
language = {eng},
number = {2},
pages = {247-261},
title = {Bifurcation and control for a discrete-time prey-predator model with Holling-IV functional response},
url = {http://eudml.org/doc/257117},
volume = {23},
year = {2013},
}

TY - JOUR
AU - Qiaoling Chen
AU - Zhidong Teng
AU - Zengyun Hu
TI - Bifurcation and control for a discrete-time prey-predator model with Holling-IV functional response
JO - International Journal of Applied Mathematics and Computer Science
PY - 2013
VL - 23
IS - 2
SP - 247
EP - 261
AB - The dynamics of a discrete-time predator-prey model with Holling-IV functional response are investigated. It is shown that the model undergoes a flip bifurcation, a Hopf bifurcation and a saddle-node bifurcation by using the center manifold theorem and bifurcation theory. Numerical simulations not only exhibit our results with the theoretical analysis, but also show the complex dynamical behaviors, such as the period-3, 6, 9, 12, 20, 63, 70, 112 orbits, a cascade of period-doubling bifurcations in period-2, 4, 8, 16, quasi-periodic orbits, an attracting invariant circle, an inverse period-doubling bifurcation from the period-32 orbit leading to chaos and a boundary crisis, a sudden onset of chaos and a sudden disappearance of the chaotic dynamics, attracting chaotic sets and non-attracting sets. We also observe that when the prey is in chaotic dynamics the predator can tend to extinction or to a stable equilibrium. Specifically, we stabilize the chaotic orbits at an unstable fixed point by using OGY chaotic control.
LA - eng
KW - discrete prey-predator model; flip bifurcation; Hopf bifurcation; saddle-node bifurcation; OGY chaotic control
UR - http://eudml.org/doc/257117
ER -

References

top
  1. Busłowicz, M. (2012). Robust stability of positive continuous-time linear systems with delays, International Journal of Applied Mathematics and Computer Science 20(4): 665-670, DOI: 10.2478/v10006-010-0049-8. Zbl1214.93076
  2. Busłowicz, M. and Ruszewski, A. (2012). Computer method for stability analysis of the Roesser type model of 2D continous-discrete linear systems, International Journal of Applied Mathematics and Computer Science 22(2): 401-408, DOI: 10.2478/v10006-012-0030-9. Zbl1283.93234
  3. Duda, J. (2012). A Lyapunov functional for a system with a time-varying delay, International Journal of Applied Mathematics and Computer Science 22(2): 327-337, DOI: 10.2478/v10006-012-0024-7. Zbl1283.93247
  4. Fan, Y. and Li, W. (2004). Permanence for a delayed discrete ratio-dependent predator-prey system with Holling type functional response, Journal of Mathematical Analysis and Applications 299(2): 357-374. Zbl1063.39013
  5. Freedman, H.I. (1976). Graphical stability, enrichment, and pest control by a natural enemy, Mathematical Biosciences 31(3-4): 207-225. Zbl0373.92023
  6. Freedman, H.I. (1980). Deterministic Mathematical Models in Population Ecologys, Marcel Dekker, New York, NY. Zbl0448.92023
  7. Grebogi, C., Ott, E. and Yorke, J.A. (1983). Crises, sudden changes in chaotic attractors, and transient chaos, Physica D: Nonlinear Phenomena 7(1-3): 181-200. Zbl0561.58029
  8. Grebogi, C., Ott, E. and Yorke, J.A. (1986). Critical exponent of chaotic transients in nonlinear dynamical systems, Physical Review Letters 57(11): 1284-1287. 
  9. Grebogi, C., Ott, E., Romeiras, F. and Yorke, J.A. (1987). Critical exponents for crisis-induced intermittency, Physical Review A 36(11): 5365-5380. 
  10. Guckenheimer, J. and Holmes, P. (1983). Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields, Springer-Verlag, New York, NY. Zbl0515.34001
  11. Hainzl, J. (1988). Stability and Hopf bifurcation in a predator-prey system with several parameters, SIAM Journal on Applied Mathematics 48(1): 170-190. Zbl0645.92017
  12. Harrison, G.W. (1986). Multiple stable equilibria in a predator-prey system, Bulletin of Mathematical Biology 48(2): 137-148. Zbl0585.92023
  13. He, Z. and Lai, X. (2011). Bifurcation and chaotic behavior of a discrete-time predator-prey system, Nonlinear Analysis: Real World Applications 12(1): 403-417. Zbl1202.93038
  14. Holling, C.S. (1965). The functional response of predators to prey density and its role in mimicry and population regulation, Memoirs of the Entomological Society of Canada 97(45): 1-60. 
  15. Hsu, S.B. (1978). The application of the Poincare-transform to the Lotka-Volterra model, Journal of Mathematical Biology 6(1): 67-73. Zbl0389.92019
  16. Hu, Z., Teng, Z. and Zhang, L. (2011). Stability and bifurcation analysis of a discrete predator-prey model with nonmonotonic functional response, Nonlinear Analysis: Real World Applications 12(4): 2356-2377. Zbl1215.92063
  17. Huang, J. and Xiao, D. (2004). Analyses of bifurcations and stability in a predator-prey system with Holling type-IV functional response, Acta Mathematicae Applicatae Sinica 20(1): 167-178. Zbl1062.92070
  18. Jing, Z. (1989). Local and global bifurcations and applications in a predator-prey system with several parameters, Systems Science and Mathematical Sciences 2(4): 337-352. Zbl0721.92018
  19. Jing, Z. , Chang, Y. and Guo, B. (2004). Bifurcation and chaos in discrete FitzHugh-Nagumo system, Chaos, Solitons & Fractals 21(3): 701-720. Zbl1048.37526
  20. Jing, Z. and Yang, J. (2006). Bifurcation and chaos in discrete-time predator-prey system, Chaos, Solitons & Fractals 27(1): 259-277. Zbl1085.92045
  21. Kazarinoff, N.D. and Van Den Driessche, P. (1978). A model predator-prey system with functional response, Mathematical Biosciences 39(1-2): 125-134. Zbl0382.92007
  22. Kuznetsov, Y.A. (1998). Elements of Applied Bifurcation Theory, Springer-Verlag, Berlin. Zbl0914.58025
  23. Liu, X. and Xiao, D. (2007). Complex dynamic behaviors of a discrete-time predator-prey system, Chaos, Solitons & Fractals 32(1): 80-94. Zbl1130.92056
  24. Liu, W., Li, D. and Yao, T. (2010). Qualitative analysis of Holling IV predator-prey system with double density retrie, Natural Sciences Journal of Harbin Normal University 26(6): 8-12, (in Chinese). 
  25. Ott, E., Grebogi, C. and Yorke, J.A. (1990). Controlling chaos, Physical Review Letters 64(11): 1196-1199. Zbl0964.37501
  26. Raja, R., Sakthivel, R., Anthoni, S.M. and Kim, H. (2011). Stability of impulsive Hopfield neural networks with Markovian switching and time-varying delays, International Journal of Applied Mathematics and Computer Science 21(1): 127-135, DOI: 10.2478/v10006-011-0009-y. Zbl1221.93265
  27. Robinson, C. (1999). Dynamical Systems, Stability, Symbolic Dynamics and Chaos, 2nd Edn., CRC Press, Boca Raton, FL/London/New York, NY/Washington, DC. Zbl0914.58021
  28. Ruan, S. and Xiao, D. (2001). Global analysis in a predator-prey system with nonmonotonic functional response, SIAM Journal on Applied Mathematics 61(4): 1445-1472. Zbl0986.34045
  29. Scholl, E. and Schuster, H.G. (2008). Handbook of Chaos Control, Wiley-VCH, Weinheim. Zbl1130.93001
  30. Tong, Y., Liu, Z. and Wang, Y. (2012). Existence of period solutions for a predator-prey system with sparse effect and functional response on time scales, Communications in Nonlinear Science and Numerical Simulation 17(8): 3360-3366. Zbl1250.92042
  31. Wang, Y., Jing, Z. and Chan, K. (1999). Multiple limit cycles and global stability in predator-prey model, Acta Mathematicae Applicatae Sinica 15(2): 206-219. Zbl0936.34024
  32. Wiggins, S. (1990). Introduction to Applied Nonlinear Dynamical Systems and Chaos, Springer-Verlag, Berlin. Zbl0701.58001
  33. Wolkowicz, G.S.K. (1988). Bifurcation analysis of a predator-prey system involving group defence, SIAM Journal on Applied Mathematics 48(3): 592-606. Zbl0657.92015
  34. Xu, C., Liao, M. and He, X. (2011). Stability and Hopf bifurcation analysis for a Lotka-Volterra predator-prey model with two delays, International Journal of Applied Mathematics and Computer Science 21(1): 97-107, DOI: 10.2478/v10006-011-0007-0. Zbl1231.34151
  35. Zhang, Q., Yang, L. and Liao, D. (2011). Existence and exponential stability of a periodic solution for fuzzy cellar neural networks with time-varying delays, International Journal of Applied Mathematics and Computer Science 21(4): 649-658, DOI: 10.2478/v10006-011-0051-9. Zbl1283.93239

NotesEmbed ?

top

You must be logged in to post comments.

To embed these notes on your page include the following JavaScript code on your page where you want the notes to appear.

Only the controls for the widget will be shown in your chosen language. Notes will be shown in their authored language.

Tells the widget how many notes to show per page. You can cycle through additional notes using the next and previous controls.

    
                

Note: Best practice suggests putting the JavaScript code just before the closing </body> tag.