lingo

针对实际工业生产中常见的多输入多输出时滞过程, 构造多变量Smith预估控制结构, 提出基于对象模 型伴随矩阵的解耦器设计方法. 通过对解耦后对象的幅频和相频特性分析, 获得对象的简化一阶数学模型. 根 据Smith预估控制结构闭环特征方程的特点, 利用Butterworth滤波器极点配置的原理, 对解耦后的多变量时滞过程 设计PI控制器. 结合实际过程中常见的不确定性, 分析了控制系统保证鲁棒稳定性的充要条件. 最后以实例验证了 本文所提方法的优越性.(The decoupling Smith control method is presented for multi-input-multi-output system with time-delays which are often encountered in practical engineering. A new method for designing the decoupler based on the adjoint matrix of the multivariable system model with time-delays is proposed. By analyzing the amplitude-frequency and phasefrequency characteristics of the decoupled model, the decoupled model is reduced to a first-order model with time-delay. According to the closed-loop characteristic equation of Smith predictor structure, a PI controller is developed by using the principle of pole assignment for Butterworth filter. Sufficient and necessary conditions for robust stability are derived for adaptive and multiplicative uncertainties commonly occurred in practice. Simulation results show the superiority of the proposed method.)

将txt中的数据导入matlab中并形成x1,y1,x2,y2...，的变量名，方便管理和调用(Read data in txt file into matlab and generate variables like x1,y1,x2,y2 and so on. Manage the variables for convenience)

设计一个低通滤波系统，任意输入三个频率使输入的信号中留下频率最低的 一个分量。(Designed a low-pass filter system, indiscriminate importation of the three input signal frequency so that left one of the lowest frequency component.)

用高通滤波器实现的自适应干扰对消器，程序很好，很实用(High-pass filter implemented with adaptive interference canceller, the program very good, very practical)

天线方向图仿真,分别以sinc 和gauss函数进行仿真(The antenna pattern simulation is simulated by sinc and Gauss functions respectively.)

Roy Osherove - The Art of Unit Testing - 2014 in pdf format. Great book for learnin Unit test for beginners.

本程序主要是对于圆阵列下的角度进行估计，效果很好(This procedure is for the circular array of point of view is estimated that well)

求解非线性薛定谔方程中自相位调制SPM,其中数据可以自行设定。有注释。(nonlinear equation for SPM)

DSGE模型程序，用于校准分析，希望大家能够喜欢。(DSGE for calibration)

计算Motor Imagert EEG 的ERD/ERS现象(compute the ERD/ERS of the Motor Imagery data)