Abdul Qadeer Khan, Syeda Noor-ul-Huda Naqvi, Shaimaa A. A. Ahmed, Waleed A. I. El-Morsi
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引用次数: 0
摘要
我们研究了具有霍林 I 型和 III 型函数响应的捕食者-猎物模型的定点存在性、局部稳定性分析、定点处的分岔集、一维和二维分岔分析以及混沌控制。研究证明,该模型对所有相关参数都有一个微分平衡点,但在某些模型参数条件下有内部和半微分平衡解。此外,我们还利用线性稳定性理论研究了微分、半微分和内部平衡点的局部稳定性。我们还探索了微分、半微分和内部均衡的分岔集,并证明了翻转分岔发生在半微分均衡处。此外,还证明了 Neimark-Sacker 分岔以及翻转分岔发生在内部平衡解上,另外,在同一平衡解上,我们还研究了码维-2 1 : 2 强共振分岔。然后,我们采用 OGY 和混合控制策略来管理所研究模型中分别由 Neimark-Sacker 分岔和翻转分岔引起的混乱。我们还研究了未充分研究模型正解的保留问题。最后,我们给出了数值模拟来验证理论结果。
Chaos Control, Codimension-One and Codimension-Two 1 : 2 Strong Resonance Bifurcation Analysis of a Predator-Prey Model with Holling Types I and III Functional Responses
We study the existence of fixed points, local stability analysis, bifurcation sets at fixed points, codimension-one and codimension-two bifurcation analysis, and chaos control in a predator-prey model with Holling types I and III functional responses. It is proven that the model has a trivial equilibrium point for all involved parameters but interior and semitrivial equilibrium solutions under certain model parameter conditions. Furthermore, local stability at trivial, semitrivial, and interior equilibria using the theory of linear stability is investigated. We have also explored the bifurcation sets for trivial, semitrivial, and interior equilibria and proved that flip bifurcation occurs at semitrivial equilibrium. Furthermore, it is also proven that Neimark–Sacker bifurcation as well as flip bifurcation occurs at an interior equilibrium solution, and in addition, at the same equilibrium solution, we also studied codimension-two 1 : 2 strong resonance bifurcation. Then, OGY and hybrid control strategies are employed to manage chaos in the model under study, which arises from Neimark–Sacker and flip bifurcations, respectively. We have also examined the preservation of the positive solution of the understudied model. Finally, numerical simulations are given to verify the theoretical results.
期刊介绍:
Complexity is a cross-disciplinary journal focusing on the rapidly expanding science of complex adaptive systems. The purpose of the journal is to advance the science of complexity. Articles may deal with such methodological themes as chaos, genetic algorithms, cellular automata, neural networks, and evolutionary game theory. Papers treating applications in any area of natural science or human endeavor are welcome, and especially encouraged are papers integrating conceptual themes and applications that cross traditional disciplinary boundaries. Complexity is not meant to serve as a forum for speculation and vague analogies between words like “chaos,” “self-organization,” and “emergence” that are often used in completely different ways in science and in daily life.