Gibbs-Phen

matlab中的svpwm异步电机控制仿真(matlab in SVPWM induction motor control simulation)

matlab实现爱趣无穷控制，不错的，希望大家喜欢。(matlab infinite control to achieve love interest, good, hope you like it.)

线性方程组的迭代解法解法，里面有三种不同的源程序，在matlab2008中测试通过！！(Linear equations of the iterative solution method, there are three different types of source code, adopted in matlab2008 test! !)

interference improvement

非常适合计算机视觉方面的研究使用,利用自然梯度算法，可实现对二维数据的聚类。( Very suitable for the study using computer vision, Use of natural gradient algorithm, Can realize the two-dimensional data clustering.)

IEEE research paper for m.tech students

一本很好的机械臂的控制书籍，包括了控制的原理到各个控制理论的实践。(A very good manipulator control books, including the principles of control theory to practice individual control.)

灰度共生矩阵提取纹理特征可用于图像纹理特征提取(GLCM texture)

《系统辨识与MATLAB仿真.pdf》 侯媛彬 汪梅 王立琦 本书共分8章，第1、2章为辨识的基本概念、理论基础和古典辨识方法；第3至6章为现代辨识内容，其中第3章是最小二乘参数辨识，第4章是梯度校正参数辨识，第5章是极大似然法的参数辨识方法，第6章是自适应参数辨识；第7、8章为复杂的非线性系统的智能辨识和混沌辨识，其中第7章是非线性系统的神经网络辨识；第8章是Volterra辨识方法、复杂系统的混沌现象及其辨识。从第2至7章，各章均包含开发的相应程序及其程序剖析。 (" System Identification and MATLAB simulation. Pdf" Hou Yuanbin Wang Mei Wang Liqi book is divided into eight chapters, Chapters 1 and 2 for the identification of the basic concepts, theoretical foundation and classical identification methods first 3-6 chapters of modern identification content, Chapter 3 is the least squares parameter identification, Chapter 4 is the gradient correction parameter identification, Chapter 5 is the maximum likelihood parameter identification method, Chapter 6 is an adaptive parameter identification Chapters 7 and 8 for complex Intelligent identification of nonlinear systems and chaos identification, which is in Chapter 7 of the neural network nonlinear system identification Chapter 8 is Volterra identification method, complex systems and chaos identification. From the first 2-7 chapters, each chapter contains procedures for the development of appropriate programs and their analysis.)

matlab基于贝叶斯的手写输入数字识别代码(Handwritten input digit recognition code based on Bayesian in MATLAB)