搜索资源列表
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
yichuansuanfayingyongyanjiu
- 摘要:本文旨在研究一种能对复杂热工对象的有效建模方法。基于遗传算法的辨识方法有较强的抗干扰能力,对低、高阶系统、延时系统都可以达到很好的辨识效果。根据单元机组的低阶非线性模型,推导出一个双进双出、能够描述机组动态特性及机炉间相互耦合关系的协调控制系统传递函数矩阵。依次模型为基础,提出一种基于改进的遗传算法的参数辨识方法。-Abstract: This paper aims to study a thermal complex objects can be an effective modelin
SPSO
- 基本PSO算法，用于神经网络优化与系统辨识、函数寻优等-standard PSO algorithm
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
PSOBPNNM
- 自己编写的PSO算法优化BPM文件，用于时滞系统的辨识，辨识效果还不错。-This is a M file of BPNN I have written for the identification of delay systems identification.The simulation result shows that the method is valid.
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
copso
- 协同PSO算法的系统辨识，算法可实现逐维寻优，避免算法的退化-System identification collaborative PSO algorithm, the algorithm can be realized by dimensional optimization, to avoid degradation of the algorithm
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.
cqqqmstm
- 感应双馈发电机系统的仿真，基于分段非线性权重值的Pso算法，预报误差法参数辨识-松弛的思想，能量熵的计算，实现串口的数据采集。- Simulation of doubly fed induction generator system, Based on piecewise nonlinear weight value Pso algorithm, Prediction Error Method for Parameter Identification- the idea of relaxatio
langbeng
- 基于K均值的PSO聚类算法,关于非线性离散系统辨识，有井曲线作为输入可计算其地震波的衰减。- K-means clustering algorithm based on the PSO, Nonlinear discrete system identification, There is a well attenuation curve as input to calculate its seismic waves.
kiuyen
- 关于非线性离散系统辨识，双向PCS控制仿真，基于K均值的PSO聚类算法。- Nonlinear discrete system identification, Two-way PCS control simulation, K-means clustering algorithm based on the PSO.
tiuhang
- 预报误差法参数辨识-松弛的思想，基于分段非线性权重值的Pso算法，感应双馈发电机系统的仿真。- Prediction Error Method for Parameter Identification- the idea of relaxation, Based on piecewise nonlinear weight value Pso algorithm, Simulation of doubly fed induction generator system.
PSO-algorithm--identify
- PSO算法的系统辨识，辨识一个锅炉蒸汽水位的传递函数。依据现有的数据，将传递函数辨识为2阶。-PSO algorithm to identify a boiler steam water level transfer function. Based on the existing data, the transfer function is identified as order 2.
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
m文件
- 改进遗传算法优化实例，用于系统辨识优化控制。(An example of improved genetic algorithm is applied to system identification and optimal control.)
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)
系统建模
- 1.批量最小二乘法算法（也称最小二乘的一次性完成辨识算法） 2.递推最小二乘法算法，应用递推算法对参数估计值进行不断修正,以取得更为准确的参数估计值。 3.粒子群算法(PSO)。粒子群优化算法的基本思想：是通过群体中个体之间的协作和信息共享来寻找最优解．PSO的优点在于简单容易实现并且没有许多参数的调节。 4.BP神经网络，各个神经元仅接收来自前一级的输出，经神经元处理后的信息将输出至下一级，网络中没有反馈，即前一级神经元不会接受后一级神经元的输出。 water tank是原始数据（双容