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Qcar-LQG
Extracting a Quarter model of a car suspension & LQG & LQR Controller for Improving its characteristics such as riding, acceleration
- 2009-07-01 21:05:39下载
- 积分:1
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quadrotor_dynamics
说明: 四轴飞行器Matlab仿真分析,涉及四轴飞行器主要部件如Motor,camera,电池等,分析包括稳定性、动力等(Four aircraft Matlab simulation analysis, involving Four major components of aircraft, such as Motor, camera, battery, etc., analysis, including stability, power, etc.)
- 2008-09-05 09:47:53下载
- 积分:1
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Structure1_normal
基于瞬时无功理论的有源电力滤波器的simulink模型,能够很好的滤除电源谐波和无功电流。(The simulink model of the active power filter based on the PID regulator, the filter power harmonics and reactive current.)
- 2012-07-01 16:49:30下载
- 积分:1
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MATLAB-znglzdyy
运用matlab与应用系统无缝集成的三种方式,最后,用一个在智能网络管理信息处理中的具体实例详细说明实现的步骤。
(Use of matlab applications seamlessly integrated with the three ways, finally, with an intelligent network management information processing in the detailed description of specific examples of steps to achieve.)
- 2009-05-14 22:11:13下载
- 积分:1
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bpsk_example
example shorter qpsk simulink
- 2011-04-26 18:00:21下载
- 积分:1
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lecture-of-math-modeling
这是姜启源教授在清华大学讲解数学建模课程的资料,对于数学建模由入门到精通十分有用(lecture in math modeling,given by Professor JiangQiyuan )
- 2011-05-06 20:43:22下载
- 积分:1
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fdtd_D1_tm_pml
二维,FDTD,PML,Malab语言。(Vacuum point source radiation, two-dimensional, FDTD, PML, Malab language.)
- 2009-06-17 09:41:14下载
- 积分:1
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MS_final
Feature vector Extraction.
- 2015-04-04 13:44:24下载
- 积分:1
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Power-Load-Forecasting-Model
Elman神经网络的数据预测—电力负荷预测模型研究(Elman neural network data prediction- Power Load Forecasting Model)
- 2013-07-11 09:30:55下载
- 积分:1
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classical_music_1
MUSIC算法[1]是一种基于矩阵特征空间分解的方法。从几何角度讲,信号处理的观测空间可以分解为信号子空间和噪声子空间,显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成,噪声子空间则由协方差矩阵中所有最小特征值(噪声方差)对应的特征向量组成。(MUSIC algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)
- 2013-09-15 20:25:40下载
- 积分:1