搜索资源列表
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.
thecontrollingofpidinpsoo
- 基本粒子群优化算法Matlab源程序,其中的fitness函数可根据自己需要更改。-Elementary particle swarm optimization algorithm Matlab source code, in which the fitness function may need to change according to their own.
bp.pso
- 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
tunningPIDbyPSO
- 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
tunning_PID_by_PSO
- 粒子群优化算法。PID控制器的整定，matlab源码。-Tunning of PID controller using Particle Swarm Optimization Author: Wael Mansour (wael192@yahoo.com) MSc Student, Electrical Enginering Dept, Faculty of Engineering Cairo University, Egy
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
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
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)
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)
基于粒子群算法的PID控制器优化设计
- matlab智能算法，基于粒子群算法的PID控制器优化设计(Matlab intelligent algorithm, particle swarm optimization based PID controller optimization design)
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)
chapter14 基于粒子群算法的PID控制器优化设计
- chapter14 基于粒子群算法的PID控制器优化设计，粒子群算法也是个不错的优化参数算法(chapter14 Particle swarm optimization algorithm based on PID controller design, Particle Swarm Optimization algorithm is also a good optimization algorithm)
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.)
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)
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)
粒子群优化算法
- 用粒子群优化算法对三轴稳定航天器姿态控制PD参数进行自动寻优(optimization of PD parameter of attitude controller in spacecraft)
基于粒子群算法和遗传算法的PID参数优化
- 基于粒子群算法和遗传算法的PID参数优化程序和相应文档(The Optimization of PID Parameters Based on Particle Swarm Optimization and Genetic Algorithm)
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)
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)