Changeset 255 for doc/html/libKF_8h.html
- Timestamp:
- 01/28/09 10:01:09 (16 years ago)
- Files:
-
- 1 modified
Legend:
- Unmodified
- Added
- Removed
-
doc/html/libKF_8h.html
r234 r255 18 18 </div> 19 19 <div class="contents"> 20 <h1>work/git/mixpp/bdm/estim/libKF.h File Reference</h1>Bayesian Filtering for linear Gaussian models ( <a class="el" href="classKalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a>Filter) and extensions. <a href="#_details">More...</a>20 <h1>work/git/mixpp/bdm/estim/libKF.h File Reference</h1>Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions. <a href="#_details">More...</a> 21 21 <p> 22 22 <code>#include <itpp/itbase.h></code><br> … … 40 40 <p><center><img src="libKF_8h__dep__incl.png" border="0" usemap="#work/git/mixpp/bdm/estim/libKF.hdep_map" alt=""></center> 41 41 <map name="work/git/mixpp/bdm/estim/libKF.hdep_map"> 42 <area shape="rect" href="ekf__templ_8h.html" title="Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions." alt="" coords="557,84,821,111"><area shape="rect" href="mpf__load_8cpp.html" title="Simulation of disturbances in PMSM model, EKF runs with simulated covariances." alt="" coords="5,161,253,188"><area shape="rect" href="mpf__test_8cpp.html" title="TR 2525 file for testing Toy Problem of mpf for Covariance Estimation." alt="" coords="800,161,1045,188"><area shape="rect" href="mpf__u__delta__real_8cpp.html" title="TR 2525 file for testing Toy Problem of mpf for Covariance Estimation." alt="" coords="1069,161,1368,188"><area shape="rect" href="mpf__u__delta_8cpp.html" title="TR 2525 file for testing Toy Problem of mpf for Covariance Estimation." alt="" coords="989,84,1256,111"><area shape="rect" href="mpf__u__weight_8cpp.html" title="Voltage U is multiplied by an unknown weight w which is estimated by MPF." alt="" coords="1280,84,1557,111"><area shape="rect" href="pmsm__unkQpf_8cpp.html" title="A test for Kalman with unknown Q." alt="" coords="1581,84,1861,111"><area shape="rect" href="sim_ 8cpp.html" title="Simulation of disturbances in PMSM model, PWM and integration disturbances are distinguished..." alt="" coords="1885,84,2096,111"><area shape="rect" href="sim__var_8cpp.html" title="Simulation of disturbances in PMSM model, EKF runs with simulated covariances." alt="" coords="2120,84,2357,111"><area shape="rect" href="ekf__obj_8h.html" title="Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions." alt="" coords="2381,84,2803,111"><area shape="rect" href="k1_8cpp.html" title="Models for synchronous electric drive using IT++ and BDM." alt="" coords="560,161,776,188"><area shape="rect" href="pmsm__mix_8cpp.html" title="Models for synchronous electric drive using IT++ and BDM." alt="" coords="277,161,536,188"></map>42 <area shape="rect" href="ekf__templ_8h.html" title="Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions." alt="" coords="557,84,821,111"><area shape="rect" href="mpf__load_8cpp.html" title="Simulation of disturbances in PMSM model, EKF runs with simulated covariances." alt="" coords="5,161,253,188"><area shape="rect" href="mpf__test_8cpp.html" title="TR 2525 file for testing Toy Problem of mpf for Covariance Estimation." alt="" coords="800,161,1045,188"><area shape="rect" href="mpf__u__delta__real_8cpp.html" title="TR 2525 file for testing Toy Problem of mpf for Covariance Estimation." alt="" coords="1069,161,1368,188"><area shape="rect" href="mpf__u__delta_8cpp.html" title="TR 2525 file for testing Toy Problem of mpf for Covariance Estimation." alt="" coords="989,84,1256,111"><area shape="rect" href="mpf__u__weight_8cpp.html" title="Voltage U is multiplied by an unknown weight w which is estimated by MPF." alt="" coords="1280,84,1557,111"><area shape="rect" href="pmsm__unkQpf_8cpp.html" title="A test for Kalman with unknown Q." alt="" coords="1581,84,1861,111"><area shape="rect" href="sim__var_8cpp.html" title="Simulation of disturbances in PMSM model, EKF runs with simulated covariances." alt="" coords="1885,84,2123,111"><area shape="rect" href="ekf__obj_8h.html" title="Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions." alt="" coords="2147,84,2568,111"><area shape="rect" href="k1_8cpp.html" title="Models for synchronous electric drive using IT++ and BDM." alt="" coords="560,161,776,188"><area shape="rect" href="pmsm__mix_8cpp.html" title="Models for synchronous electric drive using IT++ and BDM." alt="" coords="277,161,536,188"></map> 43 43 </div> 44 44 … … 46 46 <a href="libKF_8h-source.html">Go to the source code of this file.</a><table border="0" cellpadding="0" cellspacing="0"> 47 47 <tr><td></td></tr> 48 <tr><td colspan="2"><br><h2>Namespaces</h2></td></tr> 49 <tr><td class="memItemLeft" nowrap align="right" valign="top">namespace </td><td class="memItemRight" valign="bottom"><b>bdm</b></td></tr> 50 48 51 <tr><td colspan="2"><br><h2>Classes</h2></td></tr> 49 <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="class KalmanFull.html">KalmanFull</a></td></tr>52 <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1KalmanFull.html">bdm::KalmanFull</a></td></tr> 50 53 51 <tr><td class="mdescLeft"> </td><td class="mdescRight">Basic <a class="el" href="class Kalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> filter with full matrices (education purpose only)! Will be deleted soon! <a href="classKalmanFull.html#_details">More...</a><br></td></tr>52 <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="class Kalman.html">Kalman< sq_T ></a></td></tr>54 <tr><td class="mdescLeft"> </td><td class="mdescRight">Basic <a class="el" href="classbdm_1_1Kalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> filter with full matrices (education purpose only)! Will be deleted soon! <a href="classbdm_1_1KalmanFull.html#_details">More...</a><br></td></tr> 55 <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1Kalman.html">bdm::Kalman< sq_T ></a></td></tr> 53 56 54 <tr><td class="mdescLeft"> </td><td class="mdescRight"><a class="el" href="class Kalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> filter with covariance matrices in square root form. <a href="classKalman.html#_details">More...</a><br></td></tr>55 <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="class KalmanCh.html">KalmanCh</a></td></tr>57 <tr><td class="mdescLeft"> </td><td class="mdescRight"><a class="el" href="classbdm_1_1Kalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> filter with covariance matrices in square root form. <a href="classbdm_1_1Kalman.html#_details">More...</a><br></td></tr> 58 <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1KalmanCh.html">bdm::KalmanCh</a></td></tr> 56 59 57 <tr><td class="mdescLeft"> </td><td class="mdescRight"><a class="el" href="class Kalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> filter in square root form. <a href="classKalmanCh.html#_details">More...</a><br></td></tr>58 <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="class EKFfull.html">EKFfull</a></td></tr>60 <tr><td class="mdescLeft"> </td><td class="mdescRight"><a class="el" href="classbdm_1_1Kalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> filter in square root form. <a href="classbdm_1_1KalmanCh.html#_details">More...</a><br></td></tr> 61 <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1EKFfull.html">bdm::EKFfull</a></td></tr> 59 62 60 <tr><td class="mdescLeft"> </td><td class="mdescRight">Extended <a class="el" href="class Kalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> Filter in full matrices. <a href="classEKFfull.html#_details">More...</a><br></td></tr>61 <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="class EKF.html">EKF< sq_T ></a></td></tr>63 <tr><td class="mdescLeft"> </td><td class="mdescRight">Extended <a class="el" href="classbdm_1_1Kalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> Filter in full matrices. <a href="classbdm_1_1EKFfull.html#_details">More...</a><br></td></tr> 64 <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1EKF.html">bdm::EKF< sq_T ></a></td></tr> 62 65 63 <tr><td class="mdescLeft"> </td><td class="mdescRight">Extended <a class="el" href="class Kalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> Filter. <a href="classEKF.html#_details">More...</a><br></td></tr>64 <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="class EKFCh.html">EKFCh</a></td></tr>66 <tr><td class="mdescLeft"> </td><td class="mdescRight">Extended <a class="el" href="classbdm_1_1Kalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> Filter. <a href="classbdm_1_1EKF.html#_details">More...</a><br></td></tr> 67 <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1EKFCh.html">bdm::EKFCh</a></td></tr> 65 68 66 <tr><td class="mdescLeft"> </td><td class="mdescRight">Extended <a class="el" href="class Kalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> Filter in Square root. <a href="classEKFCh.html#_details">More...</a><br></td></tr>67 <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="class KFcondQR.html">KFcondQR</a></td></tr>69 <tr><td class="mdescLeft"> </td><td class="mdescRight">Extended <a class="el" href="classbdm_1_1Kalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> Filter in Square root. <a href="classbdm_1_1EKFCh.html#_details">More...</a><br></td></tr> 70 <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1KFcondQR.html">bdm::KFcondQR</a></td></tr> 68 71 69 <tr><td class="mdescLeft"> </td><td class="mdescRight"><a class="el" href="class Kalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> Filter with conditional diagonal matrices R and Q. <a href="classKFcondQR.html#_details">More...</a><br></td></tr>70 <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="class KFcondR.html">KFcondR</a></td></tr>72 <tr><td class="mdescLeft"> </td><td class="mdescRight"><a class="el" href="classbdm_1_1Kalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> Filter with conditional diagonal matrices R and Q. <a href="classbdm_1_1KFcondQR.html#_details">More...</a><br></td></tr> 73 <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1KFcondR.html">bdm::KFcondR</a></td></tr> 71 74 72 <tr><td class="mdescLeft"> </td><td class="mdescRight"><a class="el" href="class Kalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> Filter with conditional diagonal matrices R and Q. <a href="classKFcondR.html#_details">More...</a><br></td></tr>75 <tr><td class="mdescLeft"> </td><td class="mdescRight"><a class="el" href="classbdm_1_1Kalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> Filter with conditional diagonal matrices R and Q. <a href="classbdm_1_1KFcondR.html#_details">More...</a><br></td></tr> 73 76 </table> 74 77 <hr><a name="_details"></a><h2>Detailed Description</h2> 75 Bayesian Filtering for linear Gaussian models ( <a class="el" href="classKalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a>Filter) and extensions.78 Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions. 76 79 <p> 77 80 <dl class="author" compact><dt><b>Author:</b></dt><dd>Vaclav Smidl.</dd></dl> 78 81 ----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty<p> 79 82 Using IT++ for numerical operations ----------------------------------- </div> 80 <hr size="1"><address style="text-align: right;"><small>Generated on T hu Jan 15 10:50:322009 for mixpp by 83 <hr size="1"><address style="text-align: right;"><small>Generated on Tue Jan 27 16:29:58 2009 for mixpp by 81 84 <a href="http://www.doxygen.org/index.html"> 82 85 <img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>