搜索资源列表
遗传算法对PID参数的优化
- 遗传算法对PID参数的优化，这是在Matlab下编写的！-genetic algorithm to optimize the parameters of PID, which is prepared in Matlab!
improvedGA
- 改进的遗传算法程序用于优化PID控制器中的两个参数-improved genetic algorithm optimization procedures for the PID controller two parameters
pso_pid
- 这是个利用粒子群算法(PSO)优化PID控制器参数的matlab程序，其中选取的性能指标为ITAE。-this is the use of particle swarm algorithm (PSO) PID controller optimized parameters of Matlab procedures, these performance indicators selected for ITAE.
ycpid
- 遗传算法优化PID程序,MATLAB开发-PID genetic algorithm optimization procedures, the development of MATLAB
gene_bpnnPID
- 该算法是综合遗传算法和神经网络算法的综合性算法，用来对一些参数进行优化，可收到很好的效果。-the algorithm is integrated genetic algorithms and neural network algorithm integrated algorithm, used to optimize the parameters can be received very good results.
ga-PID
- 利用遗传算法优化pid控制器三个参数的matlab程序-The use of genetic algorithm to optimize the three parameters of pid controller matlab program
BP神经网络PID算法_matlab程序
- 神经网络优化pid控制程序的matlab文件，(Neural Network Optimization PID m file)
利用PSO算法优化求解PID参数
- PSO粒子群优化的PID参数，通过matlab平台C语言来编写，达到优化控制的目的(PSO particle swarm optimization PID parameters, through the MATLAB platform C language to write, to achieve the purpose of optimization control)
pso_PID_opt_3
- 一种简单的matlab中的pid算法，用于随机搜索优化算法优化PID参数,(Random search optimization algorithm to optimize PID parameters)
PSO-PID参数
- 利用标准粒子群算法优化PID参数，用以控制直流电机模型(The standard particle swarm optimization (PSO) algorithm is used to optimize the PID parameters to control the DC motor model)
PID+ PSO
- 通过粒子群算法优化PID控制中的一些参数，(Some parameters in PID control are optimized by PSO.)
粒子群算法优化PID参数实例1
- 粒子群算法优化PID参数实例+matlab代码学习研究(Optimization of PID parameters by particle swarm optimization)
遗传算法优化pid
- 使用遗传算法对pid进行优化，m文件调用模型文件，直接出结果(Using genetic algorithm to optimize PID, m file calls model files, directly results.)
遗传算法优化pid
- fun1为适应度函数 GA_optima为优化pid的主函数 mainopt.slx为适应度函数里面调用的模型 test.slx为比较模型(Fun1 is the fitness function GA_optima is the main function to optimize pid Mainopt.slx is the model called inside the fitness function Test.slx
遗传算法PID
- 利用遗传算法优化PID参数，自动搜索最有 的PID参数(Using genetic algorithm to optimize PID parameters and automatically search the most PID parameters)
chapter14 基于粒子群算法的PID控制器优化设计
- 利用粒子群算法对PID参数进行优化，有利于初学者的学习和参考。(Using particle swarm optimization to optimize the parameters of PID is beneficial to beginners'learning and reference)
遗传算法优化simulink中PID参数
- 利用matlab编写基于遗传算法优化PID控制器(Matlab programming PID controller)
粒子群算法优化pid源码 matlab仿真
- 粒子群算法（PSO）整定pid控制参数，比传统Z-N整定方法要好，内附matlab程序与simulink模型(Particle swarm optimization (PSO) is better than traditional Z-N tuning method in tuning PID control parameters. It includes matlab program and Simulink model.)
matlab仿真PID参数整定 源代码+仿真图
- 用MATLAB仿真PID控制，其中用simulink建仿真模型，用matlab语言编写PSO算法用于优化PID参数整定。(Matlab is used to simulate PID control, in which Simulink is used to build simulation model, and PSO algorithm is written in MATLAB language to optimize PID pa
BP神经网络优化PID程序
- 通过BP神经网络实现PID参数在线正整定。(The PID parameters are set online through BP.)