Rayleigh_error

针对离散系统的阶跃信号,正弦信号和方波信号的位置响应,设计了离散pid控制器(Step for discrete-time systems signal, sinusoidal signal and the square wave signal in response to the location, design a discrete controller pid)

小车位移的模拟仿真实验.其中pidoff.mdl 为无pid的时候小车的位移仿真曲线 pidon.mdl 为有pid的时候小车的位移仿真曲线(Trolley displacement simulation experiment)

Comparison OF LEACH EAMMH SEP TEEN Protocols

《MATLAB控制系统仿真与实例详解》一书的光盘源码。图书简介：本书详细地讲解了MATLAB 7.x的功能与相关操作以及MATLAB在控制系统中的仿真应用。本书内容包括控制系统仿真基础、MATLAB程序设计语言基础、控制系统理论基础、Simulink交互式仿真环境、控制系统建模、线性控制系统的分析与仿真、PID控制系统设计及仿真、最优控制系统设计、鲁棒控制系统设计、神经网络系统设计及其MATLAB实现、模糊控制系统设计和系统辨识。 (" MATLAB Control System Simulation and explain examples of" one-source book on CD-ROM. Book Description: This book explain in detail the function of the MATLAB 7.x and related operations and MATLAB in the control system simulation applications. The book includes basic control system simulation, MATLAB programming language basic, basic control system theory, Simulink interactive simulation environment, control system modeling, linear control system analysis and simulation, PID control system design and simulation, optimal control system design, robust control system design, neural network system design and MATLAB implementation, fuzzy control system design and system identification.)

emd算法，详细英文注释，程序能现实IMF各次图形(emd algorithm, in English, can realistically IMF various graphics)

Gaussian Laplace and GGD Random Variables Generators

multi input pv for distributed applications

相关分析过程的matlab方法，通过反复训练模板能有较高的识别率，IDW距离反比加权方法，使用混沌与分形分析的例程，均值便宜跟踪的示例，进行波形数据分析,基于chebyshev的水声信号分析。( Correlation analysis process matlab method, Through repeated training yqyQVtxlate have higher recognition rate, IDW inverse distance weighting method, Use Chaos and fractal analysis routines, Example tracking mean cheap, Waveform data analysis, Based chebyshev underwater acoustic signal analysis.)

说明：  用matlab绘制三次样条曲线。系数由c++程序计算得出。(Matlab draw with cubic spline curve. Coefficient by c++ Procedures calculated.)

markowitz 均值方差模型 Black-litterman 模型 resample模型 robust模型(markowitz mean-variance model Black-litterman model resample model robust model)