5

位置指令为幅值为1.0的阶跃信号，r（k）=1.0。网络结构为1-4-1，高斯函数的参数值取Cj=[-2 -1 1 2]T ，B=[0.5 0.5 0.5 0.5]T 。 网络权值学习参数为η=0.30，α=0.05 。PID控制各参数的初RBF网络控制，被控对象为G（s）= 取采样时间为1ms，采用Z变换进行离散化，离散化后的被控对象为 y(k)=-den(2)*y（k-1）-den(3)*y(k-2)+num(2)*u(k-1)+num(3)*u(k-2) 始值为，kp=20， kd=0.3， ki=0.1。 (Position command for the step signal amplitude of 1.0, r (k) = 1.0. The network structure is 1-4-1, the Gaussian function parameters taken Cj = [-2-1 1 2] T, B = [0.5 0.5 0.5 0.5] T. Weight learning parameter η = 0.30, α = 0.05. PID control parameters at the beginning of each RBF network control, the controlled object is G (s) = take the sampling time is 1ms, using the Z transform discrete, discretized controlled object is y (k) =-den (2)* y (k-1)-den (3)* y (k-2)+num (2)* u (k-1)+num (3)* u (k-2) initial value, kp = 20, kd = 0.3, ki = 0.1.)

To find FFT, SNR and SFDR

关于混沌时间序列的论文，matlab 在研究非线性混沌中的应用，和非线性参数的意识任务分类(The study of chaotic time series, MATLAB in the study of nonlinear chaos in the application, and the nonlinear parameters of the mental task classification )

Abstract：An improved GSO (Group Search Optimizer)Algorithm with predictive model is introduced in this paper． MATLAB implementation of the improved Group Search Optimizer Al gorithm is described in detail．This paper introduced the concept of function optimization and apphed the im proved algorithm to a function optimization example．

this file is for hu transform

将NSGA-II 的理念融入粒子群中，并加入保存优秀解的机制，提出MPSO算法。针对MPSO 易陷入局部极值的缺点，加入变邻域机制，通过随机的破坏旧解和重建新解，找到全局最优解，以达到帮助粒子跳出局部极值的目的，提 出VNS-MPSO 算法。(Will the NSGA- II concept into particle swarm, and join save good solution mechanism, MPSO algorithm is put forward. Against disadvantages of MPSO easy to fall into local extremum, join the variable neighborhood mechanism, through the random destruction of the old and rebuild the new solution, find the global optimal solution, to achieve the purpose of help particles jump out of local extremum, The VNS- MPSO algorithm.)

空间谱估计中的线性预测算法，包括前向预测算法，后向预测算法，双向预测算法，多阶线性预测算法。完整的matlab程序( )

This is a simulation of Doob-Gillespie algorithm in matlab

基于pscad的柴油内燃机仿真模型。因为上面分组中没有pscad，故选用MATLAB分组。它可以完成内燃机启动、运转的多项仿真计算(Pscad diesel engine simulation model. Because there is no grouping above pscad, so use MATLAB grouping. It can be done to start the internal combustion engine, a number of simulation calculation operation)

灰色系统理论是研究解决灰色系统分析、建模、 预测、决策和控制的理论.灰色预测是对灰色系统 所做的预测.目前常用的一些预测方法（如回归分 析等），需要较大的样本.若样本较小，常造成较 大误差，使预测目标失效.灰色预测模型所需建模 信息少，运算方便，建模精度高，在各种预测领 域都有着广泛的应用，是处理小样本预测问题的 有效工具(Grey system theory is the research and solution of grey system analysis, modeling, The theory of prediction, decision - making and control At present, some commonly used prediction methods (such as regression score) If the sample size is small, it often results in a comparison Large error, so that the prediction of the target failure Less information, convenient operation, high modeling accuracy, in a variety of prediction collar Fields are widely used to deal with small sample prediction problems Effective tool)