FMBC

Many source code for bootstrap technics developped in matlab are presented in attached files.

对于非线性时变工业过程对象，首先建立模型集来覆盖被控对象动态特性，分别建立相应的内模控制器，在系统变工况运行时，进行多模型加权自适应控制，与传统单内模控制相比，控制效果明显提高。(For the nonlinear and time-varying industrial process object, first ，we build model set to cover the dynamic characteristics of the object, then,set up a corresponding internal model controller respectively.When the system operation mode is running, multiple model weighted adaptive control has been used,and compared with the traditional single internal model control,it has improved obviously. )

matlab编写的，盲源分离的程序汇总，学习信号处理非常有用(matlab written summary of blind source separation program, learning is very useful signal processing)

说明：  队列的新的操作，用个数number和队尾指针rear来判队空队满(Queue new operation, number and team with the number of rear end of pointers to sub-team full of air force)

人机交互小功能，画曲线，改变颜色，生成矩阵，随机与固定的，退出，改变线型(Human-Computer Interaction small features, drawing curves, changing the color, generating matrix, random and fixed, from the change of linear)

error correcting matlab codes for primitive polynomial, vector speces

元胞自动机为使人员疏散离散模型更好描述行人微观特性，提出一种改进元胞自动机的人员疏散模型。(In order to make the discrete model of evacuation better describe the micro-characteristics of pedestrians, a new evacuation model based on improved cellular automata is proposed.)

采样频率 fs=10000 轴承外环故障信号 fid=fopen( bearingout.dat , r ) 故障 N=1024 xdata=fread(fid,N, int16 ) fclose(fid) xdata=(xdata-mean(xdata))/std(xdata,1) 时域波形 figure(1) plot(1:N,xdata) xlabel( 时间 t/n ) ylabel( 电压 V/v ) db10小波进行4层分解 一维小波分解 [c,l] = wavedec(xdata,4, db10 ) 重构第1～4层细节信号 d4 = wrcoef( d ,c,l, db10 ,4) d3 = wrcoef( d ,c,l, db10 ,3) d2 = wrcoef( d ,c,l, db10 ,2) d1 = wrcoef( d ,c,l, db10 ,1) ( Sampling frequency fs = 10000 bearing outer ring fault signal fid = fopen (' bearingout.dat' , ' r' ) failure N = 1024 xdata = fread (fid, N, ' int16' ) fclose (fid ) xdata = (xdata-mean (xdata))/std (xdata, 1) time-domain waveform figure (1) plot (1: N, xdata) xlabel (' Time t/n' ) ylabel ( ' voltage V/v' ) db10 wavelet decomposition 4 layer one-dimensional wavelet decomposition [c, l] = wavedec (xdata, 4, ' db10' ) 1 ~ 4 reconstructed detail signal d4 = wrcoef (' d' , c, l, ' db10' , 4) d3 = wrcoef (' d' , c, l, ' db10' , 3) d2 = wrcoef (' d' , c, l, ' db10' , 2) d1 = wrcoef (' d' , c, l, ' db10' , 1) )

matlab中的数据分析（回归），包括相应的ppt，以及例子的matlab程序源码，便于方便学习(Matlab in the data analysis (return), including the corresponding PPT, and examples of matlab source, easy for learning)

说明：  MATLAB的C++数学使用手册（详尽）(MATLAB to C++ Math User' s Manual (detailed))