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Hyperchaotic behavior in arbitrary-dimensional fractional-order quantum cellular neural network model

机译:任意维分数阶量子细胞神经网络模型中的超混沌行为

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摘要

In this paper, an arbitrary-dimensional quantum cellular neural network (QCNN) model and its fractional-order form are presented by using the polarization of quantum-dot cell and fractional derivatives. Two classes of fractional-order QCNN equations, either two-cell or three-cell models with different value of fractional order are taken into consideration in detail. In particular, more complex and abundant fractional-order hyperchaotic behaviors can be observed by these two examples. Thus, the proposed fractional-order arbitrary-dimensional QCNN model can have an effective noninteger dimension and can generate rich hyperchaotic dynamics by nth cell. Numerical analysis and simulation results are provided to show the effectiveness of the proposed approach. This study provides valuable information about nth cell fractional-order QCNNs for further application in high-parallel signal processing and fractional quantum chaotic generators.
机译:本文利用量子点单元和分数导数的极化,提出了任意维量子细胞神经网络(QCNN)模型及其分数阶形式。详细考虑两类分数阶QCNN方程,即具有不同分数阶值的两单元或三单元模型。特别是,通过这两个示例可以观察到更复杂和更丰富的分数阶超混沌行为。因此,提出的分数阶任意维QCNN模型可以具有有效的非整数维,并且可以通过第n个单元生成丰富的超混沌动力学。数值分析和仿真结果表明了该方法的有效性。这项研究提供了有关第n个细胞分数阶QCNN的有价值的信息,可进一步应用于高并行信号处理和分数量子混沌发生器。

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