flow_around_plate

matlab code for finite element method

数学建模中常见的灰度预测程序，能够求解一般的预测性问题，较实用(Mathematical Modeling in the common gray forecasting process, to solve the general problem of predictability, a more practical)

压缩文件中是simulink的教程文件，简单介绍了matlab的simulink仿真用法(Compressed file is simulink tutorial files, a brief introduction of the use of matlab simulation in simulink)

说明：  有详细的线性规划法源代码，可以用于控制器参数寻优(Detailed linear programming source code, can be used for controller parameters optimization)

BPSK仿真，Eb/N0=0:10,得出BER与Eb/N0的关系曲线，AWGN信道(BPSK simulation, Eb/N0 = 0:10, draw BER versus Eb/N0 of the curve, AWGN channel)

本软文件是copula的matlab说明和案例，是Word文档。(The soft file is the copula matlab description and case, is the Word document.)

实现火车的调度，即将无需的乱的火车，重新调度成有序的(Realization train scheduling, without the chaos of the train is about to re-scheduled to orderly)

说明：  a sample for optimization

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.)

去除图像中的栅格噪声，使图像更加清晰，更加美观(Remove the grid in the image noise, make the image more clear, more beautiful )