PCA_classifier

模糊PID控制算法在MATLAB里的仿真程序,(fuzzy PID debug in MATLAB)

代码基于Matlab软件，讲述了大量数学方法的应用思路和过程。内容涉及回归分析、主成分分析、因子分析、聚类分析、判别分析、时（空）间序列分析、Markov链、R/S分析、线性规划、层次分析法以及人工神经网络建模等方法。通过模仿本书讲授的计算过程，读者可以加深对有关数学方法的认识和理解，并且掌握很多Matlab的应用技巧。代码规范，可研究价值高。 　(Code based on the Matlab software, tells the story of a large number of mathematics method of thinking and process applications.Content in regression analysis, principal component analysis, factor analysis, cluster analysis, discriminant analysis, the (empty) sequence analysis, Markov chains, R/S analysis, linear programming, analytic hierarchy process (ahp) method and artificial neural network modeling, etc.By imitating the calculation process of this book teaches, readers can deepen the understanding and the understanding to the related mathematical methods, and master a lot of Matlab application skills.Code standards, it is with high research value.)

绘制电容电压变化曲线 电阻、电感、电容串联电路R、L、C，试求电路突然接通电源E时，电源电压uc(t)的变化规律，并绘制R=1,L=0.5,C=1,E=1,uc（0）=0，uc’（0）=0时的电容电压uc(t)d 的变化曲线。 (Draw capacitance voltage variation curve resistor, inductor, capacitor series circuit of the R, L, and C, Find circuit suddenly turned on the power supply E, the variation of the supply voltage uc (t), and draw the R = 1, L = 0.5, C = 1, E = 1, UC (0) = 0, uc ' (0) = 0 when the capacitor voltage uc (t) is the change of d curve.)

一种盲源分离的联合对角化算法源代码，可以用来盲源分离多信号混叠和特征提取(A blind source separation algorithm for joint diagonalization source code, can be used to blind source separation and multi-aliasing feature extraction)

A short and simple gravity-driven LBM solver based on the code snippets in Sukop and Thorne s Lattice Boltzmann Modeling

基于MATLAB的语音信号分析与处理。 录制一段自己的语音信号，用窗函数法和双线性变换进行滤波器，并对滤波前后的信号进行对比；回放语音信号。 (MATLAB-based voice signal analysis and processing. Record a voice signal, window function method and the bilinear transform filter, and before and after filtering the signal contrast playback voice signal.)

用平面波展开法计算二维带缺陷态结构的光子晶体的能带图。matlab程序源代码(With a two-dimensional plane wave expansion method to calculate the band structure of photonic crystal defect states in the energy band diagram. matlab source code)

MATLAB进行模糊统计，得到模糊分布(隶属函数)近似解析表达式(MATLAB fuzzy statistics, get fuzzy distribution (membership function) approximate analytical expressions)

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.

MATLAB simulink 径向基神经网络 前馈神经网络(Application and Comparison of BP Neural Network Algorithm in MATLAB)