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01/15/09 10:54:16 (15 years ago)
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  • doc/html/ekf__templ_8h.html

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    3737<p><center><img src="ekf__templ_8h__dep__incl.png" border="0" usemap="#work/git/mixpp/bdm/estim/ekf_templ.hdep_map" alt=""></center> 
    3838<map name="work/git/mixpp/bdm/estim/ekf_templ.hdep_map"> 
    39 <area shape="rect" href="k1_8cpp.html" title="Models for synchronous electric drive using IT++ and BDM." alt="" coords="5,84,221,111"><area shape="rect" href="pmsm__mix_8cpp.html" title="Models for synchronous electric drive using IT++ and BDM." alt="" coords="245,84,504,111"></map> 
     39<area shape="rect" href="k1_8cpp.html" title="Models for synchronous electric drive using IT++ and BDM." alt="" coords="5,84,221,111"><area shape="rect" href="mpf__load_8cpp.html" title="Simulation of disturbances in PMSM model, EKF runs with simulated covariances." alt="" coords="245,84,493,111"><area shape="rect" href="mpf__test_8cpp.html" title="TR 2525 file for testing Toy Problem of mpf for Covariance Estimation." alt="" coords="517,84,763,111"><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="787,84,1085,111"><area shape="rect" href="pmsm__mix_8cpp.html" title="Models for synchronous electric drive using IT++ and BDM." alt="" coords="1109,84,1368,111"></map> 
    4040</div> 
    4141 
     
    4747 
    4848<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Extended <a class="el" href="classKalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> filter with unknown <code>Q</code> and <code>R</code>.  <a href="classEKFful__unQR.html#_details">More...</a><br></td></tr> 
     49<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEKFCh__unQ.html">EKFCh_unQ</a></td></tr> 
     50 
     51<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Extended <a class="el" href="classKalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> filter in Choleski form with unknown <code>Q</code>.  <a href="classEKFCh__unQ.html#_details">More...</a><br></td></tr> 
     52<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEKFCh__cond.html">EKFCh_cond</a></td></tr> 
     53 
     54<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Extended <a class="el" href="classKalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> filter with unknown parameters in <code>IM</code>.  <a href="classEKFCh__cond.html#_details">More...</a><br></td></tr> 
    4955</table> 
    5056<hr><a name="_details"></a><h2>Detailed Description</h2> 
     
    5460----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty<p> 
    5561Using IT++ for numerical operations ----------------------------------- </div> 
    56 <hr size="1"><address style="text-align: right;"><small>Generated on Mon Jan 5 19:29:11 2009 for mixpp by&nbsp; 
     62<hr size="1"><address style="text-align: right;"><small>Generated on Thu Jan 15 10:50:31 2009 for mixpp by&nbsp; 
    5763<a href="http://www.doxygen.org/index.html"> 
    5864<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>