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Parameters Estimation of Uncertain Fractional-Order Chaotic Systems via a Modified Artificial Bee Colony Algorithm

机译:基于改进人工蜂群算法的不确定分数阶混沌系统参数估计

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Parameter estimation for fractional-order chaotic systems has been an interesting and important issue in theory and various fields of application. In this paper, fractional orders, as well as systematic parameters of fractional-order chaotic systems are considered by treating fractional orders as additional parameters. The parameter estimation is transformed into a multidimensional optimization problem, and an effective modified artificial bee colony algorithm is proposed to solve this problem. Numerical simulations are conducted on two typical fractional-order chaotic systems to show the effectiveness of the proposed scheme.
机译:分数阶混沌系统的参数估计在理论和各种应用领域中一直是一个有趣且重要的问题。本文通过将分数阶作为附加参数来考虑分数阶以及分数阶混沌系统的系统参数。将参数估计转化为多维优化问题,并提出了一种有效的改进人工蜂群算法来解决该问题。在两个典型的分数阶混沌系统上进行了数值模拟,以证明所提方案的有效性。

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