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65<h1>ekf_template.h</h1><a href="ekf__template_8h.html">Go to the documentation of this file.</a><div class="fragment"><pre class="fragment"><a name="l00001"></a>00001
66<a name="l00013"></a>00013 <span class="preprocessor">#ifndef EKF_TEMPLATE_H</span>
67<a name="l00014"></a>00014 <span class="preprocessor"></span><span class="preprocessor">#define EKF_TEMPLATE_H</span>
68<a name="l00015"></a>00015 <span class="preprocessor"></span>
69<a name="l00016"></a>00016 <span class="preprocessor">#include "<a class="code" href="kalman_8h.html" title="Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions.">kalman.h</a>"</span>
70<a name="l00017"></a>00017
71<a name="l00018"></a>00018 <span class="keyword">namespace </span>bdm{
72<a name="l00019"></a>00019
73<a name="l00021"></a><a class="code" href="classbdm_1_1EKFful__unQR.html">00021</a> <span class="keyword">class </span><a class="code" href="classbdm_1_1EKFful__unQR.html" title="Extended Kalman filter with unknown Q and R.">EKFful_unQR</a> : <span class="keyword">public</span> <a class="code" href="classbdm_1_1EKFfull.html" title="Extended Kalman Filter in full matrices.">EKFfull</a>  {
74<a name="l00022"></a>00022 <span class="keyword">public</span>:
75<a name="l00023"></a><a class="code" href="classbdm_1_1EKFful__unQR.html#17a98c06f5efe38e0da0beb96d6f9584">00023</a>         <span class="keywordtype">void</span> <a class="code" href="classbdm_1_1EKFful__unQR.html#17a98c06f5efe38e0da0beb96d6f9584" title="Substitute val for rvc.">condition</a> ( <span class="keyword">const</span> vec &amp;QR0 ) {
76<a name="l00024"></a>00024                 Q=diag(QR0(0,dimx-1));
77<a name="l00025"></a>00025                 R=diag(QR0(dimx,dimx+dimy-1));
78<a name="l00026"></a>00026         };
79<a name="l00027"></a>00027 };
80<a name="l00028"></a>00028
81<a name="l00030"></a><a class="code" href="classbdm_1_1EKFCh__dQ.html">00030</a> <span class="keyword">class </span><a class="code" href="classbdm_1_1EKFCh__dQ.html" title="Extended Kalman filter in Choleski form with unknown diagonal Q.">EKFCh_dQ</a> : <span class="keyword">public</span> <a class="code" href="classbdm_1_1EKFCh.html" title="Extended Kalman Filter in Square root.">EKFCh</a> {
82<a name="l00031"></a>00031 <span class="keyword">public</span>:
83<a name="l00032"></a><a class="code" href="classbdm_1_1EKFCh__dQ.html#b37b8ffb5699b4edd533fda4ffeaa916">00032</a>         <span class="keywordtype">void</span> <a class="code" href="classbdm_1_1EKFCh__dQ.html#b37b8ffb5699b4edd533fda4ffeaa916" title="Substitute val for rvc.">condition</a> ( <span class="keyword">const</span> vec &amp;Q0 ) {
84<a name="l00033"></a>00033                 <a class="code" href="classbdm_1_1Kalman.html#70f8bf19e81b532c60fd3a7a152425ee" title="Matrix Q in square-root form.">Q</a>.<a class="code" href="classchmat.html#a4fc7f9b0539b97c414442a22f3db6e8" title="Access functions.">setD</a> ( Q0,0 );
85<a name="l00034"></a>00034                 <span class="comment">//from EKF</span>
86<a name="l00035"></a>00035                 <a class="code" href="classbdm_1_1KalmanCh.html#48611c8582706cfa62e832be0972e75d" title="pre array (triangular matrix)">preA</a>.set_submatrix ( <a class="code" href="classbdm_1_1Kalman.html#d2c36ba01760bf207b985bf321b7817f" title="cache of rvy.count()">dimy</a>+<a class="code" href="classbdm_1_1Kalman.html#ba7699cdb3b1382a54d3e28b9b7517fa" title="cache of rv.count()">dimx</a>,<a class="code" href="classbdm_1_1Kalman.html#d2c36ba01760bf207b985bf321b7817f" title="cache of rvy.count()">dimy</a>,<a class="code" href="classbdm_1_1Kalman.html#70f8bf19e81b532c60fd3a7a152425ee" title="Matrix Q in square-root form.">Q</a>.<a class="code" href="classchmat.html#9c50d31c999d85d8e9d8cf2b69b6ac8c" title="Access function.">_Ch</a>() );
87<a name="l00036"></a>00036         };
88<a name="l00037"></a>00037 };
89<a name="l00038"></a>00038
90<a name="l00040"></a><a class="code" href="classbdm_1_1EKFCh__chQ.html">00040</a> <span class="keyword">class </span><a class="code" href="classbdm_1_1EKFCh__chQ.html" title="Extended Kalman filter in Choleski form with unknown Q.">EKFCh_chQ</a> : <span class="keyword">public</span> <a class="code" href="classbdm_1_1EKFCh.html" title="Extended Kalman Filter in Square root.">EKFCh</a> {
91<a name="l00041"></a>00041         <span class="keyword">public</span>:
92<a name="l00042"></a><a class="code" href="classbdm_1_1EKFCh__chQ.html#e663ea1b2e9ca242a932b837d99d9c6b">00042</a>                 <span class="keywordtype">void</span> <a class="code" href="classbdm_1_1EKFCh__chQ.html#e663ea1b2e9ca242a932b837d99d9c6b" title="Substitute val for rvc.">condition</a> ( <span class="keyword">const</span> vec &amp;chQ0 ) {
93<a name="l00043"></a>00043                         <a class="code" href="classbdm_1_1Kalman.html#70f8bf19e81b532c60fd3a7a152425ee" title="Matrix Q in square-root form.">Q</a>.<a class="code" href="classchmat.html#4c8b321967b14ed2616a2abb9498a979" title="Access functions.">setCh</a> ( chQ0);
94<a name="l00044"></a>00044                 <span class="comment">//from EKF</span>
95<a name="l00045"></a>00045                         <a class="code" href="classbdm_1_1KalmanCh.html#48611c8582706cfa62e832be0972e75d" title="pre array (triangular matrix)">preA</a>.set_submatrix ( <a class="code" href="classbdm_1_1Kalman.html#d2c36ba01760bf207b985bf321b7817f" title="cache of rvy.count()">dimy</a>+<a class="code" href="classbdm_1_1Kalman.html#ba7699cdb3b1382a54d3e28b9b7517fa" title="cache of rv.count()">dimx</a>,<a class="code" href="classbdm_1_1Kalman.html#d2c36ba01760bf207b985bf321b7817f" title="cache of rvy.count()">dimy</a>,<a class="code" href="classbdm_1_1Kalman.html#70f8bf19e81b532c60fd3a7a152425ee" title="Matrix Q in square-root form.">Q</a>.<a class="code" href="classchmat.html#9c50d31c999d85d8e9d8cf2b69b6ac8c" title="Access function.">_Ch</a>() );
96<a name="l00046"></a>00046                 };
97<a name="l00047"></a>00047 };
98<a name="l00048"></a>00048
99<a name="l00050"></a><a class="code" href="classbdm_1_1EKFCh__cond.html">00050</a> <span class="keyword">class </span><a class="code" href="classbdm_1_1EKFCh__cond.html" title="Extended Kalman filter with unknown parameters in IM.">EKFCh_cond</a> : <span class="keyword">public</span> <a class="code" href="classbdm_1_1EKFCh.html" title="Extended Kalman Filter in Square root.">EKFCh</a>  {
100<a name="l00051"></a>00051         <span class="keyword">public</span>:
101<a name="l00052"></a><a class="code" href="classbdm_1_1EKFCh__cond.html#8c792fe284f4a26e6af9de251323fc52">00052</a>                 <span class="keywordtype">void</span> <a class="code" href="classbdm_1_1EKFCh__cond.html#8c792fe284f4a26e6af9de251323fc52" title="Substitute val for rvc.">condition</a> ( <span class="keyword">const</span> vec &amp;val ) {
102<a name="l00053"></a>00053                         <a class="code" href="classbdm_1_1EKFCh.html#e1e895f994398a55bc425551fc275ba3" title="Internal Model f(x,u).">pfxu</a>-&gt;<a class="code" href="classbdm_1_1fnc.html#0786e40fade2663a70d654c1dda5d73e" title="function substitutes given value into an appropriate position">condition</a> ( val );
103<a name="l00054"></a>00054                 };
104<a name="l00055"></a>00055 };
105<a name="l00056"></a>00056
106<a name="l00057"></a>00057 }
107<a name="l00058"></a>00058 <span class="preprocessor">#endif //EKF_TEMP_H</span>
108</pre></div></div>
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