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.
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
swarm
- 粒子群算法详细的程序，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-PID and State Feedback Control of DC Motors
PSO_BP
- pso优化BP，非常实用，具有较好的预测能力-pso optimal BP，Very practical, with good predictability
tunning-PID-by-PSO
- pid tuning by using PSO algorithm -pid tuning by using PSO algorithm
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
PID-Tunning-with-PSO
- tuning of pid controller by pso(particle swarm optimazation) evuloutionary algorithm
pso
- 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 optimized control algorithm based on PID neural networkthe pso algorithm
PID-parameters-optimization
- 压缩文件中的内容是采用群体智能算法PSO对控制系统的参数进行优化设计。-The contents of the compressed file is the use of swarm intelligence algorithm PSO to optimize the design parameters of the control system.
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.
tunning-PID-use-PSO
- 用pso算法优化PID参数，程序中只是对P和D的参数进行了优化-PID parameter optimization using pso algorithm, the program only the P and D parameters were optimized.
A-complete-PSO-program
- 一个完整的PSO程序，可以实现优化，并且由很好的可视化见面，且可用来调节PID参数-A complete PSO program, you can optimize, and met by a good visualization, and can be used to adjust the PID parameters
tunning-PID-by-PSO
- PSO algorithm to tuning PID
PID-Control-base-on-PSO
- 机械臂PID调节器设计，PSO算法优化，模型程序文章都有-PID controller design robotic arm, PSO algorithm optimization, model program article has
dc speed control by pso
- Dc speed control using pid and pso technique
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
-PID-by-BG-PSO
- 基值於,細菌演算法,優化出最佳PID計算值-Based on the value, bacteria algorithm to optimize the calculation of the optimal PID values
PID
- 多变量输入、输出、多干扰、非线性和强耦合的复杂系统控制是一个比较困难的问题，常用的控制器可能因为多变量耦合问题难以控制系统。PID神经元网络是一种多层前向神经元网络，它的各层神经元个数、连接方式、连接权值是按照PID控制规律的已有原则和经验确定的，是一种动态的符合控制系统的前向网络。但是由于PID网络初始权值随机取值的原因，每次控制的效果都有所差别，个别情况下控制效果还比较差。本案例研究了基于PID神经元的多变量耦合系统控制，并用PSO算法来优化控制器以取得更好的控制效果。-Multivaria
PSO
- 这是一个PSO优化PID 的例子，里面使用M文件编写的，可以直接用-This is an example of PSO to optimize PID, using M files written inside, can use directly