Neural-and-Fuzzy-Logic-Control-of-Drives-and-Powe

matlb code for calculation of BER of ofdm with Qpsk

介绍了一种基于 MA T L A B的多个特定人连接词语音识别的方法，并提出了在进行端点检测时，引入平均的概念能进一 步提高识别率。 此设计是以 L P C C系数、 D T W 算法为核心的基于图形界面的设计。 通过大量的实验测试 ，表明该方法基本达 到屏蔽外界环境的影响 ， 具有非常高的精度识别(: In this paper based on a number of specific persons MA TLAB conjunctions speech recognition method, and presented during endpoint detection, the introduction of the concept of the average recognition rate can be further improved. This design is LPCC coefficients, DTW algorithm as the core design based on graphical interface. Through a large number of experimental tests show that the method is basically to shield the external environment, with very high accuracy recognition)

详细介绍了MATLAB与控制工程相关的6个基础工具箱：系统辨识工具箱、控 制系统工具箱、鲁棒控制工具箱、模型预测控制工具箱、模糊逻辑工具箱和非线性控制设计模块。同时提供了MATLAB的一些基础知识。(Details related to MATLAB and Control Engineering of the six basic kit: System Identification Toolbox, Control System Toolbox, Robust Control Toolbox, Model Predictive Control Toolbox, Fuzzy Logic Toolbox and nonlinear control design module. Also provides some basic knowledge of MATLAB.)

单相并网逆变器仿真，实现了单相逆变器并网(Single-phase grid-connected inverter simulation，Achieve a single-phase inverter grid)

比较齐全的hht算法的程序，可以进行谱峭度分析，选取峭度最大的分量，求其包络谱，能够明显看出特征频率，比较实用。(A more complete algorithm of HHT algorithm can carry out spectral kurtosis analysis, select the largest component of kurtosis, and find its envelope spectrum, which can clearly see the characteristic frequency, and is more practical.)

基于内容的图像识别特征提取部分——k-均值聚类分割获取形状等信息(Content-based image recognition, feature extraction part of- k-means clustering segmentation information for shape)

matlab2012b基础学习文档，适合初学者，熟悉操作界面，命令，帮助。(matlab2012b basis of learning document, suitable for beginners familiar user interface, command help.)

d维空间中N个点，求这些点的最小体积覆盖椭球。 算法：针对其对偶问题，采用Franke-Wolfe序列线性逼近策略，逐次求得最优乘子，进而求出椭球的相关参数，又称Khachiyan一阶导数算法。 适用范围：中小规模数据集(Minimum Volume Enclosing Ellipsoid； MVEE)

Kalman Example for robotics Visual Servoing(Kalman Example for robotics Visual Servoi Vi)

通过Matlab，实现NEGAⅡ，对于多目标优化，并对研究问题SCH，进行了相关实验，效果不错，可以通过增加种群数、个体长度、以及迭代次数，来提高解的质量(The Matlab, the NEGA II, for the multi-objective optimization, and research questions SCH, the relevant experiments, good results, by increasing the number of population, individual length, and number of iterations to improve the quality of the solution)