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041751201034552
包含蓄电池的微电网的并网模型下的经济调度优化(Optimal Dispatching of Microgrid)
- 2019-01-06 14:33:00下载
- 积分：1
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red2st
reduction of a symmetric matrix to symmetric tridiagonal form
- 2010-02-08 16:20:41下载
- 积分：1
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ee477_fftlab_sp07
matlab code for fast fourier transform.
- 2014-08-20 18:23:03下载
- 积分：1
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threephase-pll
Simulation of three phase harmonics Phase Locked Loop (PLL)
- 2013-01-31 22:38:48下载
- 积分：1
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matlab_ansys
matlab与ansys接口文献及源码多篇文档(matlab and ansys Interface documents and source code)
- 2013-10-06 21:32:40下载
- 积分：1
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2_Hilbert_Q
基于2对Hilbert移相滤波器的无功功率测量方法(Based on phase 2 on the Hilbert filter method for reactive power measurement)
- 2010-10-29 19:09:10下载
- 积分：1
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kruskal
说明： 最小生成树的matlab程序，运行并检验过，运行成功，可以应用。(Minimum Spanning Tree matlab procedures, and test run, and run successfully, can be applied.)
- 2009-08-07 11:34:03下载
- 积分：1
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GET-hw-info--GetSystemInfo
使用GetSystemInfo函数，获取系统硬件基本信息(get system hardware basic info by using GetSystemInfo function.)
- 2014-09-08 21:16:17下载
- 积分：1
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linear_system_identification.tar
The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)
- 2008-08-03 10:18:16下载
- 积分：1
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GM11
GM11灰色预测模型，通过生成数据的gm(1,1)模型所得到的预测值的逆处理结果(Grey Forecasting)
- 2013-01-11 18:22:30下载
- 积分：1
