test1

说明：  很全的MATLAB6.x 符号运算及其应用 (MATLAB6.x very symbol of the whole operation and its application)

利用Matlab计算bazier曲线的问题，拟合的结果非常良好，数学专业的可用(Calculation of the bazier curve fitting results are very good in mathematics can be used)

matlab常用对插值以及数据拟合的处理 (matlab commonly used treatment for interpolation and data fitting)

《MATLABSimulink通信系统建模与仿真实例精讲》DS_CDMA通信系统(" MATLABSimulink communications system modeling and simulation examples succinctly" DS_CDMA Communication Systems)

simulink环境下的永磁同步电机的位置环控制，速度曲线为梯形曲线。(simulink environment of permanent magnet synchronous motor position loop control, the speed curve is a trapezoid curve.)

wavlet based texture synthesis.

说明：  一个模拟雷达杂波的程序代码,对开发雷达模拟方面有借鉴作用。(A simulated radar clutter the code, the development of radar simulation serve as a reference.)

经典的扩展卡尔曼滤波卡尔曼滤波程序，首先对非线性函数取一阶近似，生成近似的新型函数，然后进行卡尔曼滤波，通过一步状态和估协方差估计产生新息，然后生成状态预测(Classical extended Kalman filter, Kalman filter procedure, first take the first order approximation of nonlinear function to generate the new function approximation, and then proceed to the Kalman filter step state estimate covariance is estimated to generate new interest, and then generate the state prediction)

function dg=gplus(x,y,z,x1,x2,y1,y2,z1,z2,p) G=6.67e-11 t222=myfun(x,y,z,x2,y2,z2) t122=myfun(x,y,z,x1,y2,z2) t212=myfun(x,y,z,x2,y1,z2) t221=myfun(x,y,z,x2,y2,z1) t211=myfun(x,y,z,x2,y1,z1) t121=myfun(x,y,z,x1,y2,z1) t112=myfun(x,y,z,x1,y1,z2) t111=myfun(x,y,z,x1,y1,z1) dg=-G*p*1e6*(t222-t122-t212-t221+t211+t121+t112-t111) 转化为g.u. function y=myfun(x,y,z,xi,eta,zeta) R=sqrt((xi-x).^2+(eta-y).^2+(zeta-z).^2) temp1=(xi-x).*log((eta-y)+R) temp2=(eta-y).*log((xi-x)+R) temp3=(zeta-z).*atan((zeta-z).*R/((xi-x).*(eta-y))) 书中所给公式 temp3=-(zeta-z).*atan((xi-x).*(eta-y)./(zeta-z)./R) 上式变换 y=temp1+temp2+temp3 (function dg = gplus (x, y, z, x1, x2, y1, y2, z1, z2, p) G = 6.67e-11 t222 = myfun (x, y, z, x2, y2, z2) t122 = myfun (x, y, z, x1, y2, z2) t212 = myfun (x, y, z, x2, y1, z2) t221 = myfun (x, y, z, x2, y2, z1) t211 = myfun (x, y, z, x2, y1, z1) t121 = myfun (x, y, z, x1, y2, z1) t112 = myfun (x, y, z, x1, y1, z2) t111 = myfun (x, y, z, x1, y1, z1) dg =-G* p* 1e6* (t222-t122-t212-t221+t211+t121+t112-t111) converted the Gu function y = myfun, (x y, z, xi, eta, zeta) R = sqrt ((xi-x). ^ 2+ (eta-y). ^ 2+ (zeta-z). ^ 2) temp1 = (xi-x).* log ((eta-y)+R) temp2 = (eta-y).* log ((xi-x)+R) temp3 = (zeta-z).* atan ((zeta-z).* R/( (xi-x).* (eta-y))) book given formula Temp3 =- (Zeta-z)* ATAN ((Xi-X)* (ETA-y)/(Zeta- Z)/R) the above formula transform Y = temp1+temp2+temp3 )

fuzzy sliding mode controle of dc motor