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Approximating Numerical Solution of Lü Chaotic System using Bernstein Polynomials

机译:利用Bernstein多项式逼近Lü混沌系统的数值解。

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Lü system is considered as one of the important models of three-dimensional chaotic systems. This paper presents numerical approximation of Lü chaotic system using Swarm Intelligence hybridized with Bernstein Polynomials. First, a three-dimensional Lü system represented by a set of first-order differential equations is converted in to an error minimization problem by applying the properties of Bernstein Polynomials. Then the values of unknown Bernstein coefficients which minimize the error function are obtained using Artificial Bee Colony which is a simple population-based global optimization algorithm from the family of Swarm Intelligence. For validity of the proposed scheme, simulations results are provided which demonstrated the effectiveness of the proposed method in accurately estimating the parameters of Lü chaotic system.
机译:Lü系统被认为是三维混沌系统的重要模型之一。本文提出了使用Swarm Intelligence和Bernstein多项式混合的Lü混沌系统的数值逼近。首先,通过应用伯恩斯坦多项式的性质,将由一组一阶微分方程表示的三维Lü系统转换为误差最小化问题。然后,使用人工蜂群获得了使误差函数最小的未知伯恩斯坦系数的值,人工蜂群是来自群体智能家族的基于人口的简单全局优化算法。为了验证所提方案的有效性,提供了仿真结果,证明了所提方法在准确估计Lü混沌系统参数方面的有效性。

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