| 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 | dimx = 30;
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| 6 | Apom=rand(dimx);
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| 7 | Apom2 = Apom*Apom';
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| 8 | A = Apom2/max(1.1*eig(Apom2));
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| 9 | B=ones(dimx,1);
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| 10 | C=eye(dimx);
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| 11 | D=ones(dimx,1);
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| 12 | R=0.1*eye(dimx);
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| 13 | Q=0.2*eye(dimx);
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| 14 |
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| 15 | sQ = chol(Q)';
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| 16 | sR = chol(R)';
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| 17 |
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| 18 | N =1000;
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| 19 | mu0 = zeros(dimx,1);
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| 20 | P0 = 200*eye(dimx);
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| 21 |
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| 22 | u = rand(1,N);
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| 23 | x = zeros(dimx,N);
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| 24 | y = zeros(dimx,N);
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| 25 |
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| 26 | x(:,1) = 10*ones(dimx,1);
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| 27 | Et = sQ*randn(dimx,N);
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| 28 | Wt = sR*randn(dimx,N);
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| 29 | for i=2:N;
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| 30 | x(:,i) = A*x(:,i-1) + B*u(i) + Et(:,i);
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| 31 | y(:,i) = C*x(:,i) + D*u(i) + Wt(:,1);
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| 32 | end
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| 33 |
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| 34 | d=[y;u];
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| 35 | itsave('kalman_stress.it',d,A,B,C,D,Q,R,P0,mu0)
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| 36 | save testKF
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| 37 | else
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| 38 | load testKF
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| 39 | end
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| 40 | % init
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| 41 | mu = mu0;
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| 42 | P = P0;
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| 43 | EP = [0;0];
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| 44 |
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| 45 | Oxt = mu0;
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| 46 | OPt = P0;
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| 47 | ll =0;
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| 48 | Oxt2 = mu0;
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| 49 | OPt2 = P0;
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| 50 | ll2=0;
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| 51 |
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| 52 | tic;
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| 53 | for t=2:N
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| 54 | mu = A*mu + B*u(t);
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| 55 | P = A*P*A' + Q;
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| 56 |
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| 57 | %Data update
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| 58 | Ry = C*P*C' + R;
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| 59 | iRy = inv(Ry);
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| 60 | K = P*C'*iRy;
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| 61 | P = P- K*C*P; % P = P -KCP;
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| 62 | mu = mu + K*(y(:,t)-C*mu-D*u(t));
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| 63 | Mu(1:dimx,t)=mu;
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| 64 |
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| 65 | % [Oxt,OPt,ll(t)] = Kalman(Oxt,y(:,t),A,C,Q,R,OPt);
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| 66 | % [Oxt2,OPt2,ll2(t)] = Kalman(Oxt2,y(:,t),A,C,Q,R/10000,OPt2);
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| 67 | end
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| 68 | exec_matlab = toc
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| 69 |
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| 70 | %!./test_kalman
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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','--');
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| 77 | plot(xth2','+');
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| 78 | plot(xthE','o');
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| 79 | plot(Mu','d');
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| 80 |
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| 81 | max(max(x(:,2:end) - xth(:,1:end-1)))
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| 82 | max(max(x - xth2))
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| 83 | max(max(x - xthE))
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| 84 | max(max(x - Mu))
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| 85 |
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| 86 | exec_times
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| 87 | exec_matlab./exec_times
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| 88 | %keyboard
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| 89 | end |
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