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Research Article | Open Access

Chaotic behavior and controlling chaos in a fast-slow plankton-fish model

Guilin TangNing Li( )
College of Sciences, Northeastern University, Shenyang 110819, China
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Abstract

The interaction of different time scales in predator-prey models has become a common research topic. In the present article, we concentrated on the dynamics of interactions at two time scales in a plankton-fish system. To investigate the effects of the two time scales on plankton-fish dynamics, we constructed a new parameter with a corrected type that differs from the traditional slow parameter. In addition, zooplankton's refuge from the predator and phytoplankton mortality due to competition are incorporated into the model. Positivity and boundedness of solutions were proved. We then discussed feasibility and stability conditions of the equilibrium. We used a variety of means to support the existence of chaos in the system. Hopf bifurcation conditions were also obtained. Chaos control in the plankton-fish model is one of the main motivations for this study. In the slow-variable parameter case, we explored the control mechanism of gestation delay on chaotic systems, which are calmed by different periodic solutions. Moreover, under seasonal mechanisms, external driving forces can stabilize the system from chaos to periodic oscillations. Meanwhile, the sliding mode control (SMC) approach quickly calms chaotic oscillations and stabilizes it to an internal equilibrium state. The necessary numerical simulation experiments support the theoretical results.

CLC number: 34C60, 34H10, 34N05, 37N25

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AIMS Mathematics
Pages 14376-14404

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Cite this article:
Tang G, Li N. Chaotic behavior and controlling chaos in a fast-slow plankton-fish model. AIMS Mathematics, 2024, 9(6): 14376-14404. https://doi.org/10.3934/math.2024699

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Received: 25 January 2024
Revised: 22 March 2024
Accepted: 28 March 2024
Published: 19 April 2024
©2024 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)