MATLAB

加入二项式滤波器的干扰观测器系统。被控对象为两惯性模型，调节器为传统PID控制器( the binomial system of disturbance observer filter. Inertial model for the two charged objects, the traditional PID controller regulator)

Basic MATLAB code for Image Processing

Codigos turbo, funcionando 100

该程序是加上汉宁窗，用来检测谐波次数比较近的谐波(hanning FFT)

说明：  三次样条插值的MATLAB程序。需要的来下载。(Cubic spline interpolation of the MATLAB program. Need to download.)

说明：  本人提交的用matlab的关于滤波器设计的作业，很有用的　(I used Matlab submitted on the design of filter operation, a very useful)

介绍了平均电流控制型 PFC Boost 变换器的结构， 分析了其工作原理。 分别采用 Power System 工具箱和考虑电感电流断续工作状态的 C-MEX 文件 S 函数建立了主电路模型，对平均电 流控制型 PFC Boost 变换器进行了仿真。仿真结果表明，与 Power System 工具箱模型相比，基于 C-MEX 文件的 S 函数仿真模型能够准确仿真电流断续工作状态，仿真速度快。设计了电路样机进 行了实验研究，仿真结果与实验结果一致，证明了该方法的正确性。利用该方法可以高效地仿真 研究系统结构和参数变化时性能变化情况，得到的平均电流控制型 PFC Boost 变换器的混沌分岔 图，为更好地理解和设计这种变换器提供了有利的工具。(The structure of average current controlled power factor correction (PFC) Boost converter is introduced, and its working principle is analyzed. The PFC Boost converter is simulated using the model established with Power System toolbox and the C-MEX file S-function model respectively. Simulation results show that the C-MEX file S-function model can simulate the all state of the converter including discontinuous conduction mode with high speed. Experimental results show the correctness of the simulation results and the proposed method. The method is suitable for simulation the performance changing with the variation of system structure or parameters. The bifurcation diagram is derived for PFC Boost converter using this method, which is very useful for better understanding and better design of the converter.)

电力系统N-1静态安全分析，采用IEEE标准算例，基于灵敏度分析方法(outage simulation to check N-1)

说明：   基于matlab 的叠加高斯白噪声的正弦信号频谱分析，给定正弦函数x=sin(2πf0n/N+π/3)+sin(2πf1n/N+π/4)，设定f0.f1的值，加了噪声之后做快速傅里叶变换，在matlab中分析其频谱，验证是否与f0,f1的值符合。再变换N值，看随着N值的变化对应点是否符合及有何变化。(Matlab based on the superposition of Gaussian white noise sinusoidal signal spectrum analysis, given the sine function x = sin (2蟺f0n/N+蟺/3)+sin (2蟺f1n/N+蟺/4) set value of f0.f1, do a quick noise Fourier transform to analyze the spectrum in matlab, verify that with f0, in line with the value of F1. Transform the value of N, see change as the value of N corresponding points of compliance and what changes.)

用于分布式数据融合时，两局部估计部分相关时的协方差交叉融合算法，称为分离协方差交叉融合算法。(For distributed data fusion, two local estimated covariance in part related to cross-integration algorithm, called the separation of covariance cross-fusion algorithm.)