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In order to predict bifurcation point of the closed-loop
current-programmed boost converter and enable this converter to
operate at stable parameter space, this paper firstly establishes
stroboscopic maps for this converter in the continuous conduction
mode according to operating characteristics and topple of this
converter. Parameter space at the steady state and bifurcation types
are analysed together with stability theory of nonlinear equation. In
the solving course, the duty cycle is avoided because of inversive
solution, and accuracy is increased. Finally, correction is proved by
numerical calculation. 相似文献
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由于神经网络具有自适应以及自学习功能,模糊系统具有很好的非线性推理能力。将二者相结合的自适应神经模糊推理系统吸收了二者的优点,将其应用于对模型特征的分析和建模上,通过对数据的学习可以预测特性非常复杂的系统,如荧光光谱。荧光光谱分析法操作简单,精度高,分析速度快,是研究分子内部结构的重要手段。预测荧光光谱更具有重要意义。文章以N2分子的脉冲放电的发射谱为例进行了预测,预测结果显示,该方法可以预测光谱谱线的重要信息,误差均小于1.66%,达到了此次实验的精度要求,具有满意的效果。对光谱的预测是切实可行的。 相似文献
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