Sajid Mohammad
Department of Mathematics, Government College Satnali, Mahendergarh, 123024, India.
Department of Mechanical Engineering, College of Engineering, Qassim University, Buraydah, 51452, Saudi Arabia.
Heliyon. 2024 Jan 8;10(2):e23984. doi: 10.1016/j.heliyon.2024.e23984. eCollection 2024 Jan 30.
Much attention have been devoted to control of chaos in nonlinear system in the last few decades and several control procedures have been derived to find the stability target in difference and differential equations. In this study, a novel hybrid chaos control procedure is derived which allows to stabilize the chaos in most accepted discrete chaotic equations of population growth models about the globally accepted stable equilibrium. Since the system depends on the parameters , , and , the chaos in the given system may be stabilized in different fixed points states of order , when it is kicked with the parameter . From this point of view, the procedure is simple, flexible, and gives the advantage to take the numerous parameter values to reach the demanded stability in periodic states of order . This hybrid approach to control makes it novel as compared to existing methods. Further, we provide the geometrical interpretation followed by a few examples, control curves, bifurcation plots, time-series plots, and Lyapunov exponent to illustrate our numerical results.
在过去几十年里,人们对非线性系统中的混沌控制给予了极大关注,并推导出了几种控制方法,以在差分方程和微分方程中找到稳定性目标。在本研究中,我们推导出了一种新颖的混合混沌控制方法,该方法能够在关于全球公认的稳定平衡点的最常用的离散种群增长模型混沌方程中实现混沌的稳定。由于系统依赖于参数 、 和 ,当用参数 对给定系统进行“驱动”时,给定系统中的混沌可以在不同的 阶固定点状态下实现稳定。从这一角度来看,该方法简单、灵活,并且具有能够采用众多参数值以在 阶周期状态下达到所需稳定性的优势。与现有方法相比,这种混合控制方法使其具有新颖性。此外,我们给出了几何解释,并通过一些示例、控制曲线、分岔图、时间序列图和李雅普诺夫指数来说明我们的数值结果。