matlab_rs232

segmentation code in image processing

本电子书籍的功能是应用MATLAB环境进行通信系统的仿真与应用(The e-book function is to use MATLAB environment Communication System Simulation and Application of)

基于趋近律的滑模控制 一种典型的趋近律 一种控制器设计(Reaching Law Sliding Mode Control Based Controller Design)

fuzzy algorithm for pd robot tracking control

说明：  matlab最优控制的作业 请各位高手多多指教(Matlab optimal control operations please master exhibitions)

离散傅立叶变换DFT和快速傅立叶变换FFT的比较(Discrete Fourier Transform and Fast Fourier Transform Comparison)

scalar control of induction machines

对信号两端进行镜像延拓,可以用于消除Hilbert变换所带来的端点效应。(to extend both sides of signal)

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)

说明：  MATLAB通信仿真及应用实例详解，非常实用的一本书(MATLAB simulation and application example explanation of communication, very practical book)