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bp.pso.rar
- 标准BP神经网络算法程序：动量BP算法程序：％ 调用 TRAINGDX 算法训练 BP 网络 粒子群优化神经网络源程序,The standard BP neural network algorithm procedure: momentum BP algorithm procedure: TRAINGDX called BP network training algorithm particle swarm optimization neural network source code
tunningPIDbyPSO.zip
- 埃及人wael korani写的采用粒子群算法（pso）代码调用simulink模型优化pid参数，与大家共享,Wael korani Egyptians wrote using particle swarm optimization (pso) code pid call simulink model optimization parameters, and share
POS-PID
- 运用粒子群优化算法对PID控制器进行优化设计，通过matlab实现-The use of particle swarm optimization algorithm to optimize the design of PID controller, through matlab to achieve
PSOPID
- 粒子群算法在PID参数调节中的应用 优点是具有极强的全局寻优能力-PSO takes an important role in the rejustment of the PID parameters
PSO
- 基于粒子群算法的PID控制算法MATLAB源程序-PID control algorithm based on particle swarm optimization algorithm
pso--PID
- 基于粒子群算法的PID控制器优化设计，紧供新手学习-PID controller based on particle swarm optimization design
pso-pid
- 用粒子群算法对目标函数进行优化的matlab程序。-Using particle swarm algorithm optimize the objective function of the matlab program.
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
PSO
- 基于粒子群算法的pid控制，MATLAB仿真-Based on Particle Swarm Optimization pid control, MATLAB simulation
PSO
- 本程序在matlab环境下，基于粒子群算法对pid控制器进行优化控制,从而完成性能更优-The program in matlab environment, based on particle swarm optimization algorithm pid controller to control, thus completing the better performance
粒子群PID
- 该代码为基于pso算法优化的PID神经网络的系统控制算法(The code is based on the PSO algorithm optimized PID neural network system control algorithm)
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)
PSO&GA
- 本文件对PID参数kp,ki,kd进行寻优，以ITAE作为指标函数。 PSO 文件中有详细的参数设置和寻优过程 GA寻优与PSO寻优作为对比出现 figure1展示了随着迭代次数的变化，适应度函数的收敛情况 figure2展示了kp,ki,kd的迭代情况 ht 文件是用来画图的 问题解决思路.pdf 简要介绍了粒子群算法寻优的过程(In this document, the PID parameters KP, Ki, KD are optimized, and ITAE is us
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.)
新建文件夹
- 粒子群算法PID，利用粒子群算法优化PID参数，simulink，代码(Particle swarm optimization (PID), using particle swarm optimization (PSO) to optimize PID parameters, Simulink, code)
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)
AIPSO
- 免疫粒子群混合优化算法整定PID，该方法将免疫算法中的基于浓度的抗体繁殖策略 与粒子群优化算法相结合。对浓度低的粒子进行促进，对浓度高的粒子进行抑制，因而保持了粒子的多样性，克服了PSO 算法易于陷入局部最优点的缺点，寻优速度快。(PID paramaters optimization by AIPSO)
PSO
- 通过粒子群算法实现pid参数的自整定。内容涵盖matlab程序和SIMUILINK仿真。已调试。(PID parameter tuning of particle swarm optimization)
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.)