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A New Discrete-Time Logistic Equation Having No Overshoot and No Chaos

机译:一种新的离散时间物流方程,没有过冲,没有混乱

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This paper proposes a new discretization method for logistic differential equations, for which the popular forward difference model causes chaos and overshoot unless the discrete-time period is chosen to be sufficiently small. While the exact discrete-time model gives exact values at discrete-time instants, it is not really a logistic equation anymore and requires an up-date of a complex gain at each discrete-time instant. In contrast, the proposed discrete-time model has no overshoot for any discretization period T, is more accurate than the forward difference model for large T in general, and requires no update of the gain unlike the exact model.
机译:本文提出了一种新的逻辑差分方程的离散化方法,其中流行的前向差模型使混沌和过冲,除非选择离散时间周期足够小。虽然确切的离散时间模型在离散时间瞬间提供精确值,但它并不是一个逻辑方程,并且需要在每个离散时间瞬间进行复杂增益的上日期。相反,所提出的离散时间模型对于任何离散时间T没有过冲,通常比大型T的正向差模型更准确,并且不需要更新的增益与确切模型不同。

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