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maximizing-profit-EV

于 2020-06-29 发布文件大小:14KB

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下载积分: 1 下载次数: 103

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代码说明：

最大化电动汽车充电收益，利用线性模型进行最优求解。(EV charging revenue maximization, the optimal use of a linear model to solve.)

文件列表：

maximizing profit EV
....................\Chouyang150.m,2395,2014-03-29
....................\Chouyang150.mat,1069,2014-03-29
....................\Chouyang250.m,2353,2014-03-29
....................\Chouyang250.mat,1436,2014-03-29
....................\clone0.log,330,2014-03-04
....................\clone1.log,1672,2015-05-15
....................\clone2.log,330,2014-03-04
....................\clone3.log,330,2014-03-04
....................\Optimization150.m,1382,2015-05-15
....................\Optimization250.m,1329,2014-11-08
....................\Parameters.m,944,2014-03-29
....................\parameters.mat,982,2014-03-29
....................\Parameters250.m,947,2014-03-29
....................\parameters250.mat,983,2014-03-29
....................\result.m,1156,2014-11-08
....................\wx300.mat,1377,2015-05-15
....................\wx500.mat,1366,2014-11-08

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用阵列光电传感器实现空间窄带陷波功能时，采用右图所示的空间权重结构：共有N=2M+1个敏感元件，各敏感元件宽为w，间距为p，中心处敏感元件的权重为+2M，其他2M个敏感元件的权重皆为-1。求此权重函数的傅立叶变换及空间功率谱，并绘图说明当N=7，p=1mm，w=1/３mm时的空间功率谱的零点特征及其应用意义。(With a photoelectric sensor array to achieve narrow-band notch function space, with the weight shown on the right of the space structure: a total of N = 2M+1 a sensitive element, the sensor width w, spacing p, the center of the sensitive components of weight+2 M, 2M a sensitive element of the other weights are all-1. This function find the Fourier transform of the weight and space power spectrum, and the drawing shows that when N = 7, p = 1mm, w = 1/3mm space power spectrum at zero characteristics and application significance.)

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