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    3232<p><center><img src="ekf__obj_8h__incl.png" border="0" usemap="#work/mixpp/pmsm/simulator_zdenek/ekf_example/ekf_obj.h_map" alt=""></center> 
    3333<map name="work/mixpp/pmsm/simulator_zdenek/ekf_example/ekf_obj.h_map"> 
    34 <area shape="rect" href="libKF_8h.html" title="Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions." alt="" coords="67,81,163,105"><area shape="rect" href="fixed_8h&#45;source.html" title="fixed.h" alt="" coords="187,81,245,105"><area shape="rect" href="matrix_8h&#45;source.html" title="matrix.h" alt="" coords="269,81,336,105"><area shape="rect" href="reference_8h&#45;source.html" title="reference.h" alt="" coords="360,81,445,105"><area shape="rect" href="parametry__motoru_8h&#45;source.html" title="parametry_motoru.h" alt="" coords="469,81,605,105"><area shape="rect" href="libFN_8h&#45;source.html" title="../stat/libFN.h" alt="" coords="65,156,164,180"><area shape="rect" href="libEF_8h.html" title="Probability distributions for Exponential Family models." alt="" coords="188,156,287,180"><area shape="rect" href="chmat_8h.html" title="Matrices in decomposed forms (LDL&#39;, LU, UDU&#39;, etc)." alt="" coords="367,156,479,180"><area shape="rect" href="libBM_8h.html" title="Bayesian Models (bm) that use Bayes rule to learn from observations." alt="" coords="116,231,180,255"><area shape="rect" href="libDC_8h.html" title="Matrices in decomposed forms (LDL&#39;, LU, UDU&#39;, etc)." alt="" coords="369,231,476,255"><area shape="rect" href="itpp__ext_8h&#45;source.html" title="../itpp_ext.h" alt="" coords="255,231,345,255"></map> 
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    3535</div> 
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    4242 
    4343<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 full matrices.  <a href="classEKFfixed.html#_details">More...</a><br></td></tr> 
    44 <tr><td colspan="2"><br><h2>Defines</h2></td></tr> 
    45 <tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="0a424dd77d1d5c50047cfec9890df688"></a><!-- doxytag: member="ekf_obj.h::Ucmax_fault" ref="0a424dd77d1d5c50047cfec9890df688" args="" --> 
    46 #define&nbsp;</td><td class="memItemRight" valign="bottom"><b>Ucmax_fault</b>&nbsp;&nbsp;&nbsp;(650.0/Uref)</td></tr> 
    47  
    4844<tr><td colspan="2"><br><h2>Functions</h2></td></tr> 
    4945<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="20a104802ddcb544b8de3fe3e5e03253"></a><!-- doxytag: member="ekf_obj.h::minQ" ref="20a104802ddcb544b8de3fe3e5e03253" args="(double Q)" --> 
    … …  
    5753----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty<p> 
    5854Using IT++ for numerical operations ----------------------------------- </div> 
    59 <hr size="1"><address style="text-align: right;"><small>Generated on Tue Apr 29 20:46:32 2008 for mixpp by&nbsp; 
     55<hr size="1"><address style="text-align: right;"><small>Generated on Fri May 9 16:15:22 2008 for mixpp by&nbsp; 
    6056<a href="http://www.doxygen.org/index.html"> 
    6157<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.5 </small></address>