搜索资源列表
PID-GAs
- 遗传算法的PID调节 题目：已知 ，利用GA 寻优PID参数，其中K=1，T=2， ，二进制/实数编码，位数不限，M，Pc，Pm自选，性能指标 ，Q=100为仿真计算步长。-PID regulation of genetic algorithms Title: known, the use of PID parameters of GA optimization, in which K = 1, T = 2,, binary/real-coded, not limited to the me
pid
- 人工智能（模糊在自动控制的应用）电动机控制中的简单遗传算法PID参数优化-Artificial intelligence (fuzzy in Automatic Control) motor control in the simple genetic algorithm optimization of PID parameters
tunning-PID-by-PSO
- 粒子群优化PID的典型例子，调试过了，非常好用-Particle Swarm Optimization typical example of the PID, debugging, and very easy to use
helicopter-positionaheight-pid
- 关于直升机增稳控制系统设计中高度以及位置x，y的matlab仿真程序，利用optimization得到最优参数，效果很好，满足快速性稳定性的要求-Helicopter stability augmentation control system design, height and location x, y matlab simulation program, the use of optimization to get the optimal parameters, the effect is
ACO-PID
- 此函数实现蚁群算法，用于PID控制参数优化-The function realization of ant colony algorithm for PID parameters optimization
A-Pspfor-pid
- 基于粒子群算法的avr系统pid优化，A Particle Swarm Optimization Approach for Optimum Design of PID Controller in AVR System-A Particle Swarm Optimization Approach for Optimum Design of PID Controller in AVR System， novel design method for determining the optimal
tunning-PID-by-PSO
- 用于PID控制器调谐的基于粒子群优化算法的MATLAB语言程序-Particle swarm optimization algorithm based on MATLAB language program for PID controller tuning
PSO-pid
- 基于MATLAB语言的用于PID控制器的三个参数优化整定的微粒群算法-Tuning of particle swarm optimization algorithm based on three parameters for the PID controller MATLAB language
ACO-PID
- 除了蚁群算法，可用于PID参数优化的智能算法还有很多，比如遗传算法、模拟退火算法、粒子群算法、人工鱼群算法，等等。-In addition to the ant colony algorithm can be used to optimize the PID parameters, there are many intelligent algorithms, such as genetic algorithms, simulated annealing algorithm, particle s
danchunxing
- 该程序使用c++语言的单纯形法PID寻优-Use c++ language simplex method PID optimization
ACO-PID
- 除了蚁群算法，可用于PID参数优化的智能算法还有很多，比如遗传算法、模拟退火算法、粒子群算法、人工鱼群算法，等等。-In addition to the ant colony algorithm, can be used in the intelligent algorithm of PID parameter optimization and there are many, such as genetic algorithm, simulated annealing algorithm, pa
PSO-for-PID
- 智能算法中的粒子群算法来控制PID控制器里的参数来调节单位阶跃响应，效果不错，大家可以参考-Intelligent algorithm of particle swarm optimization (pso) algorithm to control the parameters in the PID controller to adjust the unit step response, the effect is good, you can reference
PID
- 应用多目标遗传算法优化对PID参数进行多目标优化-Multiobjective genetic algorithm optimization of multi-objective optimization PID parameters
the-ant-colony-and-PID-control
- 基于蚁群算法的PID控制参数优化Matlab源码，很有用哟！-Based on the ant colony algorithm PID control parameters optimization Matlab source, very useful yo!
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)
chapter14基于粒子群算法的PID控制器优化设计
- chapter15基于混合粒子群算法的TSP搜索算法(A TSP Search Algorithm Based on Hybrid Particle Swarm Optimization)
code
- 该代码为基于pso算法优化的PID神经网络的系统控制算法 清空环境变量 粒子初始化 初始种群极值 迭代寻优 最优个体控制(The code is the system control algorithm of PID neural network based on PSO algorithm optimization Empty the environment variable Particle initialization Initial population extremum
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)
44288658chaos-improved-ACO-in-PID
- 蚁群PID控制，适用于工业过程控制，油库，硬件，各种工业有需要的可以下载(Ant colony optimization PID control)
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)