1 | /*! |
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2 | \file |
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3 | \brief Models for synchronous electric drive using IT++ and BDM |
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4 | \author Vaclav Smidl. |
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5 | |
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6 | ----------------------------------- |
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7 | BDM++ - C++ library for Bayesian Decision Making under Uncertainty |
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8 | |
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9 | Using IT++ for numerical operations |
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10 | ----------------------------------- |
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11 | */ |
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12 | |
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13 | |
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14 | #include <estim/ekf_template.h> |
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15 | |
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16 | //include dopravni model |
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17 | #include "model.h" |
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18 | #include "stat\datasources.h" |
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19 | #include "stat\loggers.h" |
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20 | |
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21 | using namespace bdm; |
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22 | |
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23 | int main( int argc, char* argv[] ) { |
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24 | /* const char *fname; |
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25 | if ( argc>1 ) {fname = argv[1]; } |
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26 | else { fname = "k1.cfg"; } |
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27 | UIFile F ( fname ); //protected by exceptions, should complain if not found*/ |
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28 | |
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29 | ITppFileDS DS("data.it","Data"); // Data Source |
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30 | int ndat = DS.ndat(); // number of data |
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31 | memlog L(ndat); // Logger |
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32 | string resfile="k1_results.it"; // name of output file |
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33 | vec dQ="0.1 0.1"; |
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34 | vec dR="0.2 0.2"; // TODO: read from config file <== broken on windows |
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35 | |
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36 | //model vyvoje stavu |
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37 | IMk1 fxu; |
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38 | fxu.set_parameters (0.5, 0.5); // pokud nejake budou |
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39 | |
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40 | //model pozorovani |
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41 | OMk1 hxu; |
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42 | //hxu.set_parameters (); // odkomentovat pokud budou |
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43 | |
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44 | // ESTIMATOR --- EKF |
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45 | // Priprava covariancnich matic pro EKF |
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46 | EKFCh Efix; //Extended KF s fix. variancemi |
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47 | Efix.set_parameters ( &fxu,&hxu,diag(dQ),diag(dR)); |
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48 | Efix.set_statistics ( zeros(fxu.dimension()), 100*eye ( fxu.dimension() ) ); // nulova |
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49 | |
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50 | // Definovat co se bude logovat |
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51 | Efix.log_add(L,"E"); |
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52 | L.init(); // <<==== allocate memory for results |
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53 | |
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54 | vec dt; |
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55 | for ( int t=1;t<ndat;t++ ) { |
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56 | DS.getdata(dt); // dt is allocated |
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57 | Efix.bayes(dt); //ESTIMATE |
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58 | |
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59 | //LOG results |
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60 | Efix.logit(L); |
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61 | |
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62 | L.step(); |
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63 | DS.step(); |
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64 | } |
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65 | L.finalize(); |
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66 | L.itsave(resfile.c_str()); |
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67 | return 0; |
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68 | } |
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