G_P

fullbridge rectifier

Gaussian white noise stimulus

HHT算法实现emd分解，及希尔伯特黄变换，实现瞬时频率瞬时幅值，边际谱的提取。(The HHT algorithm emd decomposition and Hilbert-Huang transform to achieve the instantaneous amplitude of the instantaneous frequency marginal spectrum extraction.)

Hough检测直线,圆,椭圆的代码 其中椭圆是用matlab(Hough line detection, round, oval ellipse code which is used Matlab)

书名：现代控制引论教程 Matlab辅助实验 本教材共9章。第1章介绍了经典控制论的主要内容，这是研究控制论问题时最初引入的理论和方法；第2章是现代控制论采用的状态空间描述，包括连续时间和离散时间空间模型；第3章是系统状态分析；第4章介绍了现代控制论的两个标志性的内容．即系统状态的能控性和能观性，以及能控性和能观性的判定等内容；第5章介绍了系统各种稳定性的概念和判别方法；第6章是在前5章分析的基础上，讨论了系统综合问题，如极点配置、镇定等；第7章介绍了最优控制的基本方法——极小值原理和动态规划法；第8章和第9章分别对控制论的两个分支：随机系统的状态滤波与控制和自适应控制方面等内容作了基本介绍。 (Title: Introduction to modern control experiment textbook tutorial of Matlab including 9 Chapters: Chp1 introduces the main content of classical control theory, cybernetics is the study of this problem first introduced the theory and methods in Chp2 of the modern control theory using state-space description, including the continuous time and discrete time space model Chp3 is the system state analysis Chp4 describes the modern control theory, the two iconic content. The state of the system controllability and observability and controllability and observability of the decision, etc. Chp5 introduces the concept of system stability and discrimination of various methods Chp6 is based on the former 5 chapters and discusses the systems integration issues, such as pole placement, stabilization, etc. Chp7 describes the basic method of optimal control- minimum principle and dynamic programming Chp8 and 9, respectively, on control theory The two branches: the state of stochastic)

说明：  网络控制IEEE文章，采样周期与状态估计内容(Network control IEEE articles, sampling period and the content of state estimation)

PID算法的simulink实现，matlab仿真，经典入门算法(Simulink realization of the PID algorithm, matlab simulation, classic introductory algorithm)

通过重心法确定光斑图像的中心。根据个像素的灰度值和所在的位置乘积和总面值作比，进而求得重心。(Through the center of gravity method to determine the center of the image spot. According to the gray-scale pixel value and the location of the product and the total for more than face value, and then get the focus.)

matlab用的神经网络课题比较工具,课程设计用到(neual network project used tool for matlab.)

用于特征脸识别的MATLAB经典代码，本科毕业设计所做，调试成功，运行结果理想(Face Recognition MATLAB for feature classic code, doing graduate design, debugging success, the results are satisfactory)