Association Journal of CSIAM
Supervised by Ministry of Education of PRC
Sponsored by Xi'an Jiaotong University
ISSN 1005-3085  CN 61-1269/O1

Chinese Journal of Engineering Mathematics ›› 2015, Vol. 32 ›› Issue (1): 85-97.doi: 10.3969/j.issn.1005-3085.2015.01.009

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The N-S Bifurcation of Feedback Control Model with Piecewise Constant Arguments and Interference

CHEN Si-yang,   JIN Bao   

  1. College of Mathematics and Information Science, Shaanxi Normal University, Xi'an 710062
  • Received:2013-03-29 Accepted:2013-10-10 Online:2015-02-15 Published:2015-04-15
  • Supported by:
    The National Natural Science Foundation of China (10871122; 11171199); the Fundamental Research Funds for the Central Universities (GK201302004; GK201302006).

Abstract:

The dynamics of the feedback control model on a single population with piecewise constant arguments and interference are investigated in this paper. A difference model which can equi-valently describe the dynamical behavior of the original differential model is deduced. Based on the analysis of the eigenvalues and Schur-Cohn criterion, the sufficient conditions for local asymptotic stability of the positive equilibrium are achieved. Moreover, by choosing the intrinsic growth rate of the population as the bifurcation parameter and applying the bifurcation and center manifold theories, the existence conditions for the Neimark-Sacker bifurcation of this difference model is derived. Finally, some numerical examples substantiating our theoretical predictions are given and the numerical simulations also show that: 1) the dynamics of the single population of feedback control model are very complex when we consider piecewise constant arguments and interference; and 2) the positive equilibrium of the model switches from stable to unstable as the intrinsic growth rate of population increases beyond a critical value, at which the unique supercritical Neimark-Sacker bifurcation will occur.

Key words: piecewise constant arguments, feedback control, interference, N-S bifurcation

CLC Number: