搜索资源列表
PSO_PID
- 利用PSO粒子群搜索算法,辨识PID参数:Kp,Ki,Kd.结果表明虽然该方法辨识精度不是很高,但是也有一定可信度.
PSO
- 粒子群算法在系统辨识中的应用 经过验证能够很好的辨识出系统-Particle swarm algorithm in system identification application proven system to identify good
gamin
- 采用粒子群算法的参数辨识，计算速度更快，参数更准确。-Using particle swarm optimization algorithm parameter identification, computing faster, more accurate parameters.
sPso
- 利用粒子群优化算法辨识工业模型，参数设置，和结构辨识-Particle swarm optimization
sPso_Samp1NoNoise
- 在不加噪声的情况下利用PSO（粒子群算法）辨识NARMAX模型-In the case without noise, using PSO (PSO) model identification NARMAX
sPso_Samp1WithNoise
- 在加噪声的情况下，利用pso（粒子群算法）辨识NARMAX模型(实例一）-In the case of additive noise, the use of pso (PSO) identify NARMAX model (Example I)
PSO_with_FLANN_Using_ONE_step
- 系统辨识的matlab仿真，该方法的辨识过程使用了粒子群算法，计算迅速准确。-Matlab simulation of system identification, the identification of the method using particle swarm optimization algorithm to calculate quickly and accurately.
ipso
- 用免疫粒子群对压电陶瓷执行器进行模型辨识的一种方法-immune PSO
pso
- 粒子群算法参数辨识，用于调速系统参数辨识的适应度函数选择-Particle swarm optimization
pso-bianshi
- 已知控制对象和目标函数，用粒子群算法对系统进行辨识的matlab程序。-Known control object and the objective function, particle swarm optimization (pso) algorithm for system identification of matlab program.
MyPsoClerc
- PSO粒子群算法在系统辨识中的matlab仿真源程序-PSO PSO in system identification matlab source
PSO_Work
- 用粒子群优化算法辨识谐波信号中的各次谐波-Optimization algorithm for identification of each harmonic harmonic signal with particle swarm
PSO
- 粒子群算法用于模型参数辨识，matlab源程序代码，M文件-Particle swarm algorithm is used for parameter identification
PSO
- 将粒子群算法应用于机械手的参数辨识，源码经亲测完整 效果良好-The PSO algorithm is applied to the robot parameter identification, the source measured by the full effect of a good parent
PSO-Wiener
- 通过粒子群优化算法（PSO）对典型Wiener模型进行辨识的程序，只需修改模型部分就能够修改系统控制方程。可直接运行。-Partical swarm optimization algorithm (PSO) for typical Wiener model identification procedures. Just modifying the model will adapt to the virations of system. It can be directly run.
sPso
- 利用粒子群优化算法辨识工业模型，参数设置，和结构辨识-Particle swarm optimization
cpso
- 自适应混沌粒子群算法，收敛快，精确度高，在参数辨识上具有很好的应用-Adaptive chaotic particle swarm optimization algorithm, fast convergence, high accuracy, in the parameter identification has a very good application
主要程序
- 粒子群算法的仿真程序，并采用典型benchmark进行演示分析； 然后，应用粒子群算法进行热工过程水轮机系统模型辨识，matlab软件可直接运行； 采用粒子群算法与PID参数整定进行联合仿真，用以提高PID控制器对热工过程水轮机的控制性能。(Particle swarm algorithm simulation program, and the use of a typical benchmark for demonstration analysis; Then, the particle
pso
- 粒子群算法，也称粒子群优化算法或鸟群觅食算法（Particle Swarm Optimization），缩写为 PSO。它具有精度高，收敛快等优点，广泛用于系统辨识、函数优化等领域。文件pso.m是粒子群算法辨识程序，在此基础上，需要自行编写目标函数计算程序以实现不同系统的参数辨识。(Particle swarm optimization (PSO), also known as particle swarm optimization algorithm or bird swarm foragi
G11
- PSO粒子群算法，找到常减压装置传递函数，simulink搭建模型，辨识常减压装置传递函数参数(PSO identification of the transfer function parameters of the atmospheric and vacuum distillation unit)