| 1 | /*! |
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| 2 | \file |
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| 3 | \brief Application Estimator |
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| 4 | |
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| 5 | The general task of estimation is defined on the following scheme: |
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| 6 | \dot |
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| 7 | digraph estimation{ |
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| 8 | node [shape=box]; |
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| 9 | {rank="same"; "Data Source"; "Bayesian Model"} |
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| 10 | "Data Source" -> "Bayesian Model" [label="data"]; |
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| 11 | "Bayesian Model" -> "Result Logger" [label="estimated\n statistics"]; |
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| 12 | "Data Source" -> "Result Logger" [label="Simulated\n data"]; |
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| 13 | } |
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| 14 | \enddot |
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| 15 | |
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| 16 | Here, |
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| 17 | \li Data Source is an object (class DS) providing sequential data, \f$ [d_1, d_2, \ldots d_t] \f$. |
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| 18 | \li Bayesian Model is an object (class BM) performing Bayesian filtering, |
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| 19 | \li Result Logger is an object (class logger) dedicated to storing important data from the experiment. |
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| 20 | |
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| 21 | \section cmd Command-line usage |
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| 22 | Execute command: |
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| 23 | \code |
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| 24 | $> estimator config_file.cfg |
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| 25 | \endcode |
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| 26 | |
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| 27 | Full description of the experiment is in the file config_file.cfg which is expected to have the following structure: |
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| 28 | \code |
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| 29 | system = {type = "DS_offspring", ...}; // definition of a data source |
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| 30 | estimator = {type = "BM_offspring", ...}; // definition of an estimator |
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| 31 | logger = {type = "logger_type",...}; // definition of a logger |
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| 32 | experiment = {ndat = 11000; }; // definition of number of data records |
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| 33 | \endcode |
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| 34 | |
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| 35 | The above description must be specialized to specific classes. See, \subpage arx_ui how to do it for estimation of an ARX model. |
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| 36 | |
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| 37 | \section ex Matlab usage |
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| 38 | Execute command: |
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| 39 | \code |
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| 40 | >> estimator('config_file.cfg'); |
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| 41 | \endcode |
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| 42 | when using loggers storing results on hard drives, and |
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| 43 | \code |
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| 44 | >> Res=estimator('config_file.cfg'); |
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| 45 | \endcode |
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| 46 | when using logger of the type \c "mex_logger". The results will be stored in structure \c M. |
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| 47 | |
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| 48 | */ |
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| 49 | |
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| 50 | #include <estim/arx.h> |
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| 51 | #include <stat/emix.h> |
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| 52 | #include <base/datasources.h> |
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| 53 | #include <base/loggers.h> |
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| 54 | #include <estim/particles.h> |
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| 55 | #include <estim/kalman.h> |
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| 56 | |
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| 57 | //#include "mex_datasource.h" |
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| 58 | |
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| 59 | using namespace bdm; |
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| 60 | |
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| 61 | #ifdef MEX |
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| 62 | #include <itpp/itmex.h> |
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| 63 | #include <mex/mex_BM.h> |
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| 64 | #include <mex/mex_logger.h> |
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| 65 | #include <mex/mex_datasource.h> |
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| 66 | |
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| 67 | void mexFunction ( int n_output, mxArray *output[], int n_input, const mxArray *input[] ) { |
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| 68 | // Check the number of inputs and output arguments |
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| 69 | if ( n_input<2 ) mexErrMsgTxt ( "Usage:\n" |
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| 70 | "result=estimator(system, estimators, experiment, logger)\n" |
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| 71 | " system = struct('class','datasource',...); % Estimated system\n" |
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| 72 | " estimators = {struct('class','estimator',...), % Estimators\n" |
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| 73 | " struct('class','estimator',...),...} \n" |
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| 74 | " === optional ===" |
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| 75 | " experiment = struct('ndat',10); % number of data in experiment, full length of finite datasources, 10 otherwise \n" |
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| 76 | " logger = struct('class','mexlogger'); % How to store results, default=mexlog, i.e. matlab structure\n\n" |
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| 77 | "see documentation of classes datasource, BM, and mexlogger and their offsprings in BDM." ); |
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| 78 | |
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| 79 | RV::clear_all(); |
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| 80 | //CONFIG |
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| 81 | UImxArray Cfg; |
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| 82 | try { |
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| 83 | Cfg.addGroup ( input[0],"system" ); |
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| 84 | Cfg.addList ( input[1],"estimators" ); |
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| 85 | if ( n_input>2 ) { |
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| 86 | Cfg.addGroup ( input[2],"experiment" ); |
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| 87 | } |
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| 88 | if ( n_input>3 ) { |
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| 89 | Cfg.addGroup ( input[3],"logger" ); |
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| 90 | }/*else{ |
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| 91 | // define logger as mexlog |
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| 92 | Setting &S=Cfg.getRoot(); |
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| 93 | S.add("logger",Setting::TypeGroup); |
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| 94 | S["logger"].add("class",Setting::TypeString); |
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| 95 | S["logger"]["class"]="mexlog"; |
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| 96 | S["logger"].add("maxlen",Setting::TypeInt); |
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| 97 | int maxlen; |
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| 98 | S["experiment"].lookupValue("ndat",maxlen); |
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| 99 | S["logger"]["maxlen"]=maxlen; |
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| 100 | }*/ |
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| 101 | } catch ( SettingException e ) { |
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| 102 | it_error ( "error: "+string ( e.getPath() ) ); |
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| 103 | } |
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| 104 | |
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| 105 | //DBG |
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| 106 | Cfg.writeFile ( "estimator.cfg" ); |
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| 107 | |
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| 108 | #else |
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| 109 | int main ( int argc, char* argv[] ) { |
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| 110 | const char *fname; |
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| 111 | if ( argc>1 ) { |
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| 112 | fname = argv[1]; |
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| 113 | } else { |
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| 114 | fname="estimator.cfg"; |
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| 115 | } |
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| 116 | UIFile Cfg ( fname ); |
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| 117 | #endif |
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| 118 | |
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| 119 | shared_ptr<DS> Ds = UI::build<DS> ( Cfg, "system" ); |
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| 120 | Array<shared_ptr<BM> > Es; |
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| 121 | UI::get ( Es,Cfg, "estimators" ); |
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| 122 | int Ndat=10; |
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| 123 | if ( Cfg.exists ( "experiment" ) ) { |
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| 124 | if ( Cfg.getRoot().lookupValue ( "experiment.ndat",Ndat ) ) { |
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| 125 | bdm_assert ( Ndat<=Ds->max_length(), "Data source has less data then required" ); |
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| 126 | }; |
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| 127 | } else { |
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| 128 | if ( Ds->max_length() < std::numeric_limits< int >::max() ) { |
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| 129 | Ndat=Ds->max_length(); |
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| 130 | } |
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| 131 | ;// else Ndat=10; |
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| 132 | } |
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| 133 | shared_ptr<logger> L = UI::build<logger> ( Cfg, "logger",UI::optional ); |
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| 134 | if ( !L ) { |
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| 135 | #ifdef MEX |
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| 136 | //mex logger has only from_setting constructor - we have to fill it... |
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| 137 | L=new mexlog ( Ndat ); |
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| 138 | #else |
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| 139 | L=new stdlog(); |
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| 140 | #endif |
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| 141 | } |
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| 142 | |
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| 143 | Ds->log_register ( *L, "DS" ); |
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| 144 | string Ename; |
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| 145 | Setting &S=Cfg; |
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| 146 | for ( int i=0; i<Es.length(); i++ ) { |
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| 147 | if (!UI::get ( Ename, S["estimators"][i], "name" ,UI::optional)){ |
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| 148 | Ename="Est"+num2str ( i ); |
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| 149 | } |
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| 150 | |
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| 151 | Es ( i )->log_register ( *L,Ename ); // estimate |
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| 152 | } |
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| 153 | L->init(); |
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| 154 | |
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| 155 | vec dt=zeros ( Ds->_drv()._dsize() ); //data variable |
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| 156 | Array<datalink*> Dls ( Es.length() ); |
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| 157 | Array<datalink*> Dlsc ( Es.length() ); |
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| 158 | Array<datalink_buffered*> Dls_buf (0); |
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| 159 | for ( int i=0; i<Es.length(); i++ ) { |
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| 160 | //connect actual data |
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| 161 | Dls ( i ) = new datalink ( Es ( i )->_yrv(),Ds->_drv() ); //datalink between a datasource and estimator |
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| 162 | //connect data in condition |
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| 163 | if (Es ( i )->_rvc().mint()<0){ |
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| 164 | //delayed values are required |
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| 165 | |
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| 166 | //create delayed dl |
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| 167 | int ith_buf=Dls_buf.size(); |
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| 168 | Dls_buf.set_size( ith_buf + 1, true); |
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| 169 | Dls_buf(ith_buf) = new datalink_buffered(); |
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| 170 | //add dl to list of buffered DS |
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| 171 | Dlsc(i) = Dls_buf(ith_buf); |
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| 172 | Dlsc(i)->set_connection ( Es ( i )->_rvc(),Ds->_drv() ); //datalink between a datasource and estimator |
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| 173 | |
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| 174 | } else { |
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| 175 | Dlsc ( i ) = new datalink ( Es ( i )->_rvc(),Ds->_drv() ); //datalink between a datasource and estimator |
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| 176 | } |
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| 177 | } |
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| 178 | |
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| 179 | for ( int tK=0;tK<Ndat;tK++ ) { |
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| 180 | Ds->getdata ( dt ); // read data |
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| 181 | Ds->log_write ( ); |
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| 182 | |
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| 183 | for ( int i=0; i<Es.length(); i++ ) { |
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| 184 | Es ( i )->bayes ( Dls ( i )->pushdown ( dt ), Dlsc(i) ->pushdown(dt) ); // update estimates |
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| 185 | Es ( i )->log_write (); |
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| 186 | } |
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| 187 | |
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| 188 | L->step(); |
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| 189 | Ds->step(); // simulator step |
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| 190 | //update buffered fdat links |
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| 191 | for (int i=0; i<Dls_buf.length(); i++){ |
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| 192 | Dls_buf(i)->step(dt); |
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| 193 | } |
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| 194 | |
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| 195 | } |
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| 196 | |
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| 197 | L->finalize(); |
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| 198 | // ------------------ End of routine ----------------------------- |
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| 199 | |
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| 200 | #ifdef MEX |
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| 201 | mexlog* mL=dynamic_cast<mexlog*> ( L.get() ); |
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| 202 | |
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| 203 | if ( mL ) { // user wants output!! |
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| 204 | if ( n_output<1 ) mexErrMsgTxt ( "Wrong number of output variables!" ); |
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| 205 | output[0] = mL->toCell(); |
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| 206 | } |
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| 207 | #endif |
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| 208 | for (int i=0;i<Dls.length(); i++){delete Dls(i); delete Dlsc(i);} |
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| 209 | } |
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