搜索资源列表
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
pso
- 粒子群算法的基本算法以及基于粒子群算法的PID控制器参数整定程序-The basic algorithm and particle swarm optimization PID controller parameters on particle swarm algorithm tuning procedure
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
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
PSO
- 粒子群优化算法与遗传算法结合，实现PID控制-PSO and genetic algorithm combined to achieve PID control
pso-pid
- 粒子群算法整定PID的算法,亲自调整，控制效果良好(pso-pid MATLAB m simulink)
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)