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DMC1216

于 2015-04-13 发布 文件大小:7KB
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  DMC预测控制matlab算法仿真实例,是自己选的一个控制系统区仿真(DMC predictive control algorithm matlab simulation examples)

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    本实验隶属现代数字信号处理,涉及到谱估计和谱分解,对学习数字信号的现代处理方法帮组很大。系统辨识实验实现:输入为功率为1(方差为1)的白噪声信号,通过一个线性移不变(LSI)系统,采用功率谱分析方法实现系统辨识对一个LSI系统进行辨识,并比较最后辨识出的系统与原系统的差别,分别显示出来。 (Experimental realization of system identification: input power of 1 (variance 1) of the white noise signal through a linear shift invariant (LSI) system, using power spectral analysis method of system identification of an LSI system identification, and compare the final system and identify the difference between the original system, respectively, is displayed.)
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    积分:1
  • 预测系统
    灰色预测模型称为CM模型,G为grey的第一个字母,M为model的第一个字母。GM(1,1)表示一阶的,一个变量的微分方程型预测模型。GM(1,1)是一阶单序列的线性动态模型,主要用于时间序列预测。 一、GM(1,1)建模 设有数列 共有 个观察值 对 作累加生成,得到新的数列 ,其元素 (5-1) 有: 对数列 ,可建立预测模型的白化形式方程, (5-2) 式中: ——为待估计参数。分别称为发展灰数和内生控制灰数。设 为待估计参数向量 则 按最小二乘法求解, 有: (5-3) 式中: (5-4) (5-5) 将(5-3)式求得的 代入(5-2)式,并解微分方程,有 (1,1)预测模型为: (5-6)(gray forecasting model called CM model, the G-gray of a letter, the M model for the first letter. GM (1,1), a band of a variable type of differential equation models. GM (1,1) is a sequence of single-band linear dynamic model, mainly for time series prediction. A GM (1,1) model series with a total value of observation for the cumulative production, to a new series of its elements (5-1) : The series, we can establish the prediction model albino form of equation (5-2) where :-- to question the estimated parameters. The development will be known as the gray and hygiene control within a few gray. Set parameters to be estimated according to Vector least squares method, are : (5-3) where : (5-4) (5-5) (5-3) that obtained in lieu of income (5-2)- and solutions differential equations, (1 1) Fore)
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    积分:1
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    2010-03-30 11:23:56下载
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    2012-12-05 22:24:45下载
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    2020-11-09 10:39:49下载
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    2010-05-27 20:50:24下载
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