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Parameter estimation of fractional-order arbitrary dimensional hyperchaotic systems via a hybrid adaptive artificial bee colony algorithm with simulated annealing algorithm

机译:分数阶任意维超混沌系统的参数自适应混合人工蜂群算法与模拟退火算法

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摘要

Hyperchaos can be observed in fractional-order nonlinear systems with suitable orders. The knowledge about systematic parameters and fractional orders is important for control and synchronization of fractional-order hyperchaotic systems. In this article, parameter estimation of fractional-order arbitrary dimensional hyperchaotic systems is investigated. Firstly, estimation of systematic parameters and fractional orders is formulated as a multidimensional optimization problem by treating the fractional orders as additional parameters. Secondly, a novel method called hybrid adaptive artificial bee colony algorithm with simulated annealing algorithm is proposed to deal with this optimization problem. Finally, numerical simulations and comparisons with other typical algorithms are done to demonstrate the effectiveness of the proposed algorithm, which provides a promising tool for estimation of fractional-order arbitrary dimensional hyperchaotic systems as well as other numerical optimization problems in different fields.
机译:在具有适当阶数的分数阶非线性系统中可以观察到超混沌。关于系统参数和分数阶的知识对于分数阶超混沌系统的控制和同步非常重要。在本文中,研究了分数阶任意维超混沌系统的参数估计。首先,通过将分数阶作为附加参数,将系统参数和分数阶的估计公式化为多维优化问题。其次,针对这种优化问题,提出了一种称为模拟退火算法的混合自适应人工蜂群算法。最后,通过数值模拟和与其他典型算法的比较证明了所提算法的有效性,为估计分数阶任意维超混沌系统以及不同领域的其他数值优化问题提供了有希望的工具。

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