Ch06

This program calibrates the Ornstein–Uhlenbeck process, a mean reverting AR(1) stochastic process. The parameters are estimated using (1)Least Squares fitting and (2)Maximum Likelihood estimation.

产生零均值单位方差高斯白噪声的1000个样点,估计随机过程的自相关序列(units have zero mean Gaussian white noise variance to the 1,000-point, it is estimated that the random process autocorrelation sequence)

M-File Construction Rules

基与matalab的编码程序 已经调试通过(coding)

电力系统中导纳矩阵的形成,用于计算潮流,比较重要(power system admittance matrix formation used in the calculation of the trend, the more significant)

二次规划源码（精通matlab最优化计算第12章）(Quadratic programming source (proficient matlab optimization calculation Chapter 12))

生成正弦信号加噪声，进行频谱分析，适合初学者进行学习(Generate sinusoidal signal plus noise, spectrum analysis, suitable for beginners to learn)

Tutorial and multiple Simulink examples regarding the integration of m-Files into Simulink models.

说明：  声 线 跟 踪 计 算 程 序，raytrace,

带有MPPT功能的光伏阵列Matlab通用仿真模型,能够较好的仿真温度，光照的影响以及达到很好的跟踪效果(PV array with MPPT function Matlab generic simulation model that can better emulate temperature, light effects and achieve good tracking performance)