1 | function testKF(skipgen)
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2 | if nargin<1, skipgen=0; end
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3 |
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4 | if ~skipgen
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5 | A=[1 -0.5; 1 0];
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6 | B=[1;0.1];
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7 | C=[1 0];%; 0 1];
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8 | D=0.1;%[0.1; 0];
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9 | R=0.01;%[1 0; 0 0.1];
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10 | Q=[0.2 0 ; 0 0.2];
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11 |
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12 | sQ = chol(Q)';
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13 | sR = chol(R)';
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14 |
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15 | N =3000;
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16 | mu0 = [0;0];
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17 | P0 = 200*eye(2);
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18 |
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19 | u = zeros(1,N);
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20 | x = zeros(2,N);
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21 | y = zeros(1,N);
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22 |
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23 | x(:,1) = [10;10];
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24 | Et = sQ*randn(2,N);
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25 | Wt = sR*randn(1,N);
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26 | for i=2:N;
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27 | x(:,i) = A*x(:,i-1) + B*u(i) + Et(:,i);
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28 | y(:,i) = C*x(:,i) + D*u(i) + Wt(:,1);
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29 | end
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30 |
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31 | d=[y;u];
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32 | itsave('kalman_stress.it',d,A,B,C,D,Q,R,P0,mu0)
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33 | save testKF
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34 | else
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35 | load testKF
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36 | end
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37 | % init
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38 | mu = mu0;
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39 | P = P0;
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40 | EP = [0;0];
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41 |
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42 | Oxt = mu0;
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43 | OPt = P0;
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44 | ll =0;
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45 | oxt = mu0;
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46 | oPt = chol(P0)';
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47 | oll=0;
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48 |
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49 | tic;
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50 | for t=2:N
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51 | mu = A*mu + B*u(t);
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52 | P = A*P*A' + Q;
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53 |
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54 | %Data update
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55 | Ry = C*P*C' + R;
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56 | iRy = inv(Ry);
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57 | K = P*C'*iRy;
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58 | P = P- K*C*P; % P = P -KCP;
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59 | mu = mu + K*(y(:,t)-C*mu-D*u(t));
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60 | Mu(1:2,t)=mu;
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61 |
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62 | [Oxt,OPt,ll(t)] = Kalman(Oxt,y(:,t),A,C,Q,R,OPt);
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63 | % [oxt,oPt,oll(t)] = KalmanSq(oxt,y(:,t),A,C,sQ,sR,oPt);
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64 | MuK(1:2,t) = Oxt;
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65 | % MuS(1:2,t) = oxt;
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66 | end
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67 | exec_matlab = toc
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68 | %keyboard
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69 |
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70 | !cd ../;./tests/testKF
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71 | itload('testKF_res.it');
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72 |
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73 | hold off
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74 | plot(x');
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75 | hold on
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76 | plot([xth]','--'); % shift the predldmatictions
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77 | plot(xth2','+');
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78 | plot(xthE','o');
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79 | plot([zeros(size(xth,1),1) MuK]','d'); % shift the predictions
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80 |
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81 | exec_times
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82 | exec_matlab./exec_times
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83 | keyboard
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84 | end
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