FCBattery

说明：  MATLAB编写的仿真小程序,关于STEP CONCROL的,仿真出CONTROL执行后的图形(MATLAB simulation prepared by the small program on STEP CONCROL. Simulation out CONTROL implementation of the graphics)

基于MATLAB的锅炉液位控制系统，采用模糊控制(MATLAB-based boiler level control system using fuzzy control)

自己写的nbcs，但是效果还没有普通BCS方法好，重建采用SL0，自行下载(Write your own nbcs, but the results are not good ordinary BCS method, reconstruction using SL0, to download)

采用matlab编写的二位扩展有限元的程序，主要解决断裂力学里面的裂纹和开裂问题(Two extended finite element program using matlab, solve fracture mechanics inside the crack and cracking)

步进频信号处理模型，从信号产生到信号处理过程，到输出(step frequency)

Particle Swarm 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.)

双线性插值算法的实现(bilinear interpolation algorithm implementation)

分别利用fisher判别法和近邻法对一组声呐数据进行模式识别，计算分类的正确率(Respectively, and the use of fisher discriminant method nearest neighbor method sonar data to a set of pattern recognition, to calculate the correct classification rate)

这是用matlab编写的常用概率算法,非常有用,欢迎下载哈!(This is commonly prepared using matlab probability algorithm, very useful, welcome to download and Kazakhstan!)