RBF-neural-network

sliding mode control 3

Matlab程序设计书籍中的源代码，希望对大家都有用。(the source code of the Matlab program )

基于MATLAB Simulink的电力电子技术的仿真模型，包括：整流电路、逆变电路、直直电路、交交电路、PWM控制电路等。与《电力电子技术》机械工业版配套，包含书中所有的仿真算例。(Simulation model of power electronic technology based on Simulink MATLAB, and the mechanical industry version of power electronics technology , including all the simulation examples in the book.)

说明：  瞬时测频的基础知识、多信道法瞬时测频、鉴频法瞬时测频、干涉仪比相法瞬时测频、驻波鉴相法瞬时测频、瞬时测频编码、数字计算法瞬时测频(Instantaneous Frequency Measurement of the basic knowledge, multi-channel method of instantaneous frequency measurement, frequency Instantaneous Frequency Measurement Act, interferometer phase method than the Instantaneous Frequency Measurement, standing-wave phase Instantaneous Frequency Measurement Act, Instantaneous Frequency Measurement encoding, digital calculation of Instantaneous Frequency Measurement)

智能天线，自适应非盲算法LMS，探测制导LMS with white input.由于上传格式限制题目看仔细。后续还有上传，尽请期待。(Smart antennas, adaptive algorithm for non-blind LMS, probe-guided LMS with white input. As the title of carefully limit upload format. From there follow-up, please do not expect.)

对灰度图像进行立体匹配，在图像的最大视差范围内进行搜索(To stereo matching of gray image, the image of the maximum parallax within the scope of the search)

基于粒子群算法的PID控制器优化设计，注释说明清晰，程序运行顺畅(Based on Particle Swarm Optimization Design of PID controller, clear explanatory notes, the program runs smoothly)

旅行商问题（Travelling Salesman Problem, 简记TSP):假设有一个旅行商人要拜访n个城市，他必须选择所要走的路径，路经的限制是每个城市只能拜访一次，而且最后要回到原来出发的城市。路径的选择目标是要求得的路径路程为所有路径之中的最小值。 此处使用蚁群算法求解TSP问题(Suppose a business trip to visit n cities, he must choose the path to go, pass through the restriction is to visit each city only once, and finally go back to the original departure city. Path selection objective is to get the path distance to the minimum value among all paths.Here,we use the procedure of ant colony algorithm to work out the TSP.)

快速傅里叶变换函数，自己写的函数，直接用即可，ceps倒频谱分析(fast folier transformation)

说明：  偏最小二乘法模拟程序，希望对大家编程有启发(PLS simulation program, we hope to have inspired programming)