grub4dos

最小数据量法计算李雅普诺夫常数，给出matlab下的源代码(The minimum amount of data calculated Lyapunov constant, given the source code under matlab)

用MATLAB图形用户界面实现项目成果的展示，包括图形，性能参数，并可实现多界面切换(Using MATLAB graphical user interface to achieve the project presentation, including graphics, performance parameter, and can realize multiple interface switch )

用于信号处理的MATLAB基本操作，离散时间的信号，典型序列(MATLAB for the basic operation of signal processing, discrete-time signal, a typical sequence)

Kalman filter for speed-sensorless DC motor drive

Find the ksdensity plot parameters

Zernike decomposition code

Power electronics plays an important role in controlling the grid-connected renewable energy sources. This paper presents a novel adaptive neuro-fuzzy control approach for the renewable interfacing inverter. The main objective is to achieve smooth bidirectional power flow and nonlinear unbalanced load compensation simultaneously, where the conventional proportional-integral controller may fail due to the rapid change in the dynamics of the highly nonlinear system. The combined capability of neuro-fuzzy controller in handling the uncertainties and learning from the processes is proved to be advantageous while controlling the inverter under fluctuating operating conditions. The inverter is actively controlled to compensate the harmonics, reactive power, and the current imbalance of a three-phase four-wire (3P4W) nonlinear load with generated renewable power injection into the grid simultaneously.

说明：  DDC下变频链路搭建，利用FDATOOL工具搭建CIC梳状滤波器、HB半带滤波器以及FIR滤波器；并用VHDL语言实现(DDC down conversion link is built, CIC comb filter, Hb half band filter and FIR filter are built by FDATool tool, and implemented by VHDL language)

最小曲率法计算关联维数中斜率的计算，可利用此程序计算线性最好段的斜率(Minimum curvature method to calculate the correlation dimension in the calculation of the slope can be calculated using this program the best section of the slope of the linear)

维纳滤波器matlab实现，维纳滤波器matlab实现维纳滤波器matlab实现维纳滤波器matlab实现(Wiener filter matlab realize, Wiener filter Wiener filter matlab matlab matlab implementation of the Wiener filter)