自适应动态规划,数据驱动模型

二维FDTD的MATLAB的源程序，以直径为6cm的金属圆柱为例。(Two-dimensional FDTD the MATLAB source to a diameter of 6cm metal cylinder as an example.)

本例程是三电平故障诊断仿真，通过观察输出波形来判断哪个开关管有损坏，是什么损坏(This Simulation files is a three-level fault diagnosis simulation, by observing the output waveform to determine which switch is damaged, what damage is)

This mfile simulates adaptive spectrum sensing.

MATLAB/Simulink环境下搭建的光伏并网系统模型、、P/Q控制、、(MATLAB/Simulink environment to build a grid connected photovoltaic system model, P/Q control,,)

基于负熵最大的独立分量分析，最大似然（ML）准则和最大后验概率（MAP）准则，小波包分析提取振动信号中的特征频率。( Based on negative entropy largest independent component analysis, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Wavelet packet analysis to extract vibration signal characteristic frequency.)

控制台程序实现的gpc广义预测控制程序源代码(Console program gpc Generalized Predictive Control of source code)

the file contains detection and estimation theroy codes

系统辨识与自适应控制方面的matlab仿真程序，共6个章节(System identification and adaptive control matlab simulation program, a total of six chapters)

In probability theory, a stochastic process, or sometimes random process, is the counterpart to a deterministic process (or deterministic system). Instead of dealing with only one possible reality of how the process might evolve under time (as is the case, for example, for solutions of an ordinary differential equation), in a stochastic or random process there is some indeterminacy in its future evolution described by probability distributions. This means that even if the initial condition (or starting point) is known, there are many possibilities the process might go to, but some paths may be more probable and others less.

永磁同步电动机的异步启动matlab程序模型 (Permanent magnet synchronous motor to start the asynchronous process model matlab)