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/* * SynchronizedOutputBuffer.java * * Created on February 6, 2003, 8:07 PM * * * Copyright (C) 2003 - Edwin S. Peer * * This program is free software; you can redistribute it and/or modify

%% Example of the DD2 filter implementation usage clear all close all useMatlabSymbolicToolbox = false; %% Definition of the pdf's within the NFT framework % disp('*********************************

%% Example of the UKF filter implementation usage clear all close all useMatlabSymbolicToolbox = false; %% Definition of the pdf's within the NFT framework % disp('*********************************

%% Example of the sigma point local filters and of the Extended Kalman Filter implementation usage clear all close all useMatlabSymbolicToolbox = false; %% Definition of the pdf's within the NFT fr

%Discrete Kalman filter for PID control %Reference kalman_2rank.m %x=Ax+B(u+w(k)); %y=Cx+D+v(k) clear all; close all; ts=0.001; %Continuous Plant a=25;b=133; sys=tf(b,[1,a,0]); dsys=c2d(sy

%Kalman filter %x=Ax+B(u+w(k)); %y=Cx+D+v(k) clear all; close all; ts=0.001; M=3000; %Continuous Plant a=25;b=133; sys=tf(b,[1,a,0]); dsys=c2d(sys,ts,'z'); [num,den]=tfdata(dsys,'v');

%Discrete Kalman filter %x=Ax+B(u+w(k)); %y=Cx+D+v(k) function [u]=kalman(u1,u2,u3) persistent A B C D Q R P x yv=u2; if u3==0 x=zeros(2,1); ts=0.001; a=25;b=133; sys=tf(b,[1,a

%Discrete Kalman filter for PID control %Reference kalman_2rank.m %x=Ax+B(u+w(k)); %y=Cx+D+v(k) clear all; close all; ts=0.001; %Continuous Plant a=25;b=133; sys=tf(b,[1,a,0]); dsys=c2d(sy

%Kalman filter %x=Ax+B(u+w(k)); %y=Cx+D+v(k) clear all; close all; ts=0.001; M=3000; %Continuous Plant a=25;b=133; sys=tf(b,[1,a,0]); dsys=c2d(sys,ts,'z'); [num,den]=tfdata(dsys,'v');

//==========for SPI0 setup==================== #define BIT_ENABLE 1