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Research Article | Open Access

Dynamical complexities and chaos control in a Ricker type predator-prey model with additive Allee effect

Vinoth Seralan1R. Vadivel2Dimplekumar Chalishajar3( )Nallappan Gunasekaran4
Centre for Nonlinear Systems, Chennai Institute of Technology, Chennai 600069, Tamil Nadu, India
Department of Mathematics, Faculty of Science and Technology, Phuket Rajabhat University, Phuket 83000, Thailand
Department of Applied Mathematics, Virginia Military Institute (VMI), 435 Mallory Hall, Lexington, VA 24450, USA
Eastern Michigan Joint College of Engineering, Beibu Gulf University, Qinzhou 535011, China
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Abstract

This work investigates the dynamic complications of the Ricker type predator-prey model in the presence of the additive type Allee effect in the prey population. In the modeling of discrete-time models, Euler forward approximations and piecewise constant arguments are the most frequently used schemes. In Euler forward approximations, the model may undergo period-doubled orbits and invariant circle orbits, even while varying the step size. In this way, differential equations with piecewise constant arguments (Ricker-type models) are a better choice for the discretization of a continuous-time model because they do not involve any step size. First, the interaction between prey and predator in the form of the Holling-Ⅱ type is considered. The essential mathematical features are discussed in terms of local stability and the bifurcation phenomenon as well. Next, we apply the center manifold theorem and normal form theory to achieve the existence and directions of flip bifurcation and Neimark-Sacker bifurcation. Moreover, this paper demonstrates that the outbreak of chaos can stabilize in the considered model with a higher value of the Allee parameter. The existence of chaotic orbits is verified with the help of a one-parameter bifurcation diagram and the largest Lyapunov exponents, respectively. Furthermore, different control methods are applied to control the bifurcation and fluctuating phenomena, i.e., state feedback, the Ott-Grebogi-Yorke, and hybrid control methods. Finally, to ensure our analytical results, numerical simulations have been carried out using MATLAB software.

CLC number: 92B05, 34C23, 34C25, 34D20, 39A28

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AIMS Mathematics
Pages 22896-22923

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Cite this article:
Seralan V, Vadivel R, Chalishajar D, et al. Dynamical complexities and chaos control in a Ricker type predator-prey model with additive Allee effect. AIMS Mathematics, 2023, 8(10): 22896-22923. https://doi.org/10.3934/math.20231165

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Received: 24 May 2023
Revised: 16 June 2023
Accepted: 20 June 2023
Published: 15 October 2023
©2023 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)