cd4011

RAVE – DataMirrorSection (passo a passo)

This script will setup the nonlinear simulation (UAV_NL.mdl) and call trim and linearization routines. Select the desired aircraft here in this script, via the "UAV_config()" function call.

根据PSO算法原理，在MATLAB中编程实现基于PSO算法的函数极值寻优算法，程序前面给出了PSO算法参数设置，种群初始化，寻找初始极值，迭代寻优，最后通过算法反复迭代300次，画出每代最优个体适应度值变化曲线，最后通过对比发现说明PSO算法具有较强的函数极值寻有能力，谢谢，希望对大家有帮助。 (According to the principle of PSO algorithm in MATLAB programming function PSO algorithm based on extreme value optimization algorithm, the preceding program gives the PSO algorithm parameter settings, population initialization, looking for initial extreme value, iterative optimization, and finally through the iterative algorithm 300 times draw the best individual fitness value of each generation curve, and finally by comparing the findings indicate that PSO algorithm has strong function extreme ability to find, thank you, we want to help.)

基于matlab仿真的一段程序 是刚开始学习控制类课程的好材料 可以好好地参考一下哦(Matlab simulation of a program is just beginning to learn to control courses materials can have a good reference )

滤波器的设计IIR型 MATLAB语言实现(IIR Filter Design- MATLAB)

差分进化算法MATLAB程序，是一种智能优化算法(Differential evolution algorithm MATLAB program, is an intelligent optimization algorithm)

说明：  matlab对巴特沃兹滤波器的仿真（1）(matlab simulation of the Butterworth filter (1))

复数噪声信号的产生，包括高斯白噪声和色噪声（滤波器可定义）(plural noise signal produced, including white Gaussian noise and color noise (Filter definable))

介绍droop控制的基本原理并利用其原理从而提高微网的稳定性(The basic principle introduced droop control and use its basic principles to improve the stability of the micro-network)

用MATLAB实现自适应神经模糊推理系统（ANFIS）结构训练。代码中，首先创建一个初始原ANFIS结构，然后采用遗传算法（GA）、粒子群优化（PSO）来训练ANFIS。此进化训练算法可用于解决非线性回归函数逼近问题。(Implementation of adaptive neural fuzzy inference system (ANFIS) based on MATLAB. Code, the first to create an initial original ANFIS structure, and then using the genetic algorithm (GA), particle swarm optimization (PSO) to train ANFIS. This evolutionary training algorithm can be used to solve the nonlinear regression function approximation problem.)