2018
DOI: 10.1177/1077546318790871
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Stability, bifurcation analysis and chaos control for a predator-prey system

Abstract: We study qualitative behavior of a modified prey–predator model by introducing density-dependent per capita growth rates and a Holling type II functional response. Positivity of solutions, boundedness and local asymptotic stability of equilibria were investigated for continuous type of the prey–predator system. In order to discuss the rich dynamics of the proposed model, a piecewise constant argument was implemented to obtain a discrete counterpart of the continuous system. Moreover, in the case of a discrete-… Show more

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Cited by 48 publications
(33 citation statements)
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“…On the other hand, chaos control methods are widely used in almost all branches of applied science [37]. For further details related to chaos control methods in discrete-time systems, we refer to [38][39][40][41][42][43][44][45][46][47][48].…”
Section: Chaos and Bifurcation Controlmentioning
confidence: 99%
“…On the other hand, chaos control methods are widely used in almost all branches of applied science [37]. For further details related to chaos control methods in discrete-time systems, we refer to [38][39][40][41][42][43][44][45][46][47][48].…”
Section: Chaos and Bifurcation Controlmentioning
confidence: 99%
“…On the other hand, population models with non-overlapping generations have more irregular complex behaviour. For some recent investigation related to chaos control in discrete-time models we refer to [1,[13][14][15][16][17][18][19][20][22][23][24] and references are therein. In this section, first we discuss pole-placement chaos control method based on state feedback control which was introduced by Romeiras et al [44] (also see [41]).…”
Section: Chaos Controlmentioning
confidence: 99%
“…Furthermore, the implementation for such a hybrid control strategy is comparatively simple one and it is based on both parameter perturbation and state feedback control strategy. It is worthwhile to mention some other investigations for controlling chaos in discrete-time systems and the interested reader is referred to [22][23][24][25][26][27][28][29][30][31].…”
Section: Chaos Controlmentioning
confidence: 99%