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%***********加上x4,x5,x6后，且观测值y1,y2,y3,y4,y5为已知，sWfx,sWfy,sWfz扩充为状态变量的情况下可观测性的仿真********** clc clear all [t,y]=ode45('observability2c',[0:2:35*3600],[3*pi/(60*180);3*pi/(60*180);5*pi/(60*180);5*p

%***********加上x4,x5,x6后，sWfx,sWfy,sWfz扩充为状态变量的情况下匀速运动下的常微分方程曲线图********** clc clear all [t,y]=ode45('observability2c',[0:2:35*3600],[3*pi/(60*180);3*pi/(60*180);5*pi/(60*180);5*pi/(60*180);5*pi

%************************************************************************% %************************18阶系统的秩和kalman滤波************************% %*******************************************************

%************************************************************************% %************************17阶系统的秩和kalman滤波************************% %*******************************************************

%************************************************************************% %************************17阶系统与12阶系统二者的比较************************% %*******************************************************

wd=45.6679; PI=3.1415926; wie=7.29e-5; R=6378.393*1000; g=9.8; t=0.1; x=[1 0 0]; y=[0.75 1 0 0]; k1=0.0324; k2=300.7; k3=1.632; kz=-wie*cos(wd*PI/180.0)*2.0; kc=[0 -(k2

function [sol,val] = gaMichEval(sol,options) val = 21.5 + sol(1) * sin(4*pi*sol(1)) + sol(2)*sin(20*pi*sol(2)); %G=zeros(0); %val = sqrt(sol(1)) * sin(2*sol(1)) + sqrt(sol(1))*cos(5*sol(1))+5;

% dbp.m - ideal bandpass FIR filter % % h = dbp(wa, wb, N) = row vector % % N = 2M+1 = filter length (odd) % wa, wb = cutoff frequencies in [rads/sample] function h = dbp(wa, wb, N) M = (N-1)/2; fo

#include "DSP281x_Device.h" // DSP281x Headerfile Include File #include "DSP281x_Examples.h" // DSP281x Examples Include File #include "f2812a.h" #include"math.h" #define IIRNUMBER 2 #def

n=1:1024; x=cos(0.1*2*pi*n); %tfrsp(x'); %tfrwv(x'); %tfrpwv(x'); tfrcw(x') %tfrspwv(x');