deepest_descent_method_2D

code for mppt perturb and observe algorithm

使用MATLAB编程实现KALMAN滤波算法实现，用于对目标的状态进行跟踪，可以显示跟踪的准确度和实时性(Using MATLAB programming Kalman filter algorithm for the state of target tracking, tracking can show the accuracy and real-time)

KNN classifiers, training is training set, testing is test set, D is the distance, D=1 is mandistance D=2 is 欧氏距离 D=3是 infinite norm K is the number of selected neighbors

带通滤波器的函数程序，可以直接调用，用于需要滤波器的各种场合(Functional programs band-pass filter, can be called directly, for a variety of applications requiring filters)

这是我师兄做的空间谱估计的内容。这只是一小部分程序，希望大家能够接受，下载吧。(this done I saw the space Spectral Estimation content. This is only a small part of the procedure, hoping that everyone can accept, download it.)

C-均值动态聚类算法 matlab 很简单对 一组样本点的分类和中心点(C- Means clustering algorithm Matlab is very simple sample of a point and focal point for the classification)

多极值点函数,包含有多个极小值点，要找到全局最小值点。属于无约束条件静态随机搜索最优化问题，有详细注解说明。(More extreme value point function, contains multiple minimum points, to find the global minimum point. Static random search optimization problem belongs to the unconstrained conditions, there are detailed notes.)

fdtd_2d basic algorithum version 4 isotopic linear non-dispersive material grid size and time size is designated directly Ez mode electic field nomalized PML for y directions periodic conditions for x-direction TF/SF source

使用matlab进行hough变换，细节原码，并有输出显示(Use of matlab hough transform, detail of the original code, and output display)

本书从MATLAB仿真角度系统地介绍了滑模变结构控制的基本理论、基本方法和应用技术，是作者多年来从事控制系统教学和科研工作的结晶，同时融入了国内外同行近年来所取得的新成果。 全书共分10章，包括滑模变结构控制发展综述、连续时间系统滑模控制、离散时间系统滑模控制、模糊滑模控制、神经滑模控制、基于反演设计的滑模控制、动态滑模控制、基于干扰估计的滑模控制、Terminal滑模控制以及几种新型滑模控制。 每种控制方法都通过MATLAB仿真程序进行了仿真分析。 ( Book from the MATLAB simulation Jiaodu a systematic introduction to the basic sliding mode control theory, the basic method and application of technology, is the author control systems for many years engaged in teaching and research work of the crystal, and into the domestic and foreign counterparts in recent years made new results. The book is divided into 10 chapters, including the development of sliding mode control synthesis of continuous-time sliding mode control systems, discrete-time sliding mode control systems, fuzzy sliding mode control, neural sliding mode control, sliding mode control design based on inverse dynamic slip mode control, sliding mode control based on interference estimation, Terminal sliding mode control, and several new types of sliding mode control. Each control methods are carried out by MATLAB simulation program simulation.)