root/doc/xml/ekf__templ_8h.xml @ 235

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1<?xml version='1.0' encoding='UTF-8' standalone='no'?>
2<doxygen xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:noNamespaceSchemaLocation="compound.xsd" version="1.5.6">
3  <compounddef id="ekf__templ_8h" kind="file">
4    <compoundname>ekf_templ.h</compoundname>
5    <includes refid="libKF_8h" local="yes">libKF.h</includes>
6    <includedby refid="pmsm__mix_8cpp" local="no">work/git/mixpp/pmsm/pmsm_mix.cpp</includedby>
7    <incdepgraph>
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9        <label>libBM.h</label>
10        <link refid="libBM_8h"/>
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15        <label>work/git/mixpp/bdm/estim/ekf_templ.h</label>
16        <link refid="ekf_templ.h"/>
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18        </childnode>
19      </node>
20      <node id="220">
21        <label>../itpp_ext.h</label>
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24        </childnode>
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26      <node id="218">
27        <label>../stat/libEF.h</label>
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40        <link refid="libFN_8h-source"/>
41        <childnode refid="215" relation="include">
42        </childnode>
43        <childnode refid="217" relation="include">
44        </childnode>
45      </node>
46      <node id="215">
47        <label>itpp/itbase.h</label>
48      </node>
49      <node id="221">
50        <label>../math/chmat.h</label>
51        <link refid="chmat_8h"/>
52        <childnode refid="215" relation="include">
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56        <childnode refid="220" relation="include">
57        </childnode>
58      </node>
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60        <label>libKF.h</label>
61        <link refid="libKF_8h"/>
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63        </childnode>
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72        <label>../math/libDC.h</label>
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80        <label>work/git/mixpp/bdm/estim/ekf_templ.h</label>
81        <link refid="ekf_templ.h"/>
82        <childnode refid="223" relation="include">
83        </childnode>
84      </node>
85      <node id="223">
86        <label>work/git/mixpp/pmsm/pmsm_mix.cpp</label>
87        <link refid="pmsm__mix_8cpp"/>
88      </node>
89    </invincdepgraph>
90    <innerclass refid="classEKFful__unQR" prot="public">EKFful_unQR</innerclass>
91    <briefdescription>
92<para>Bayesian Filtering for linear Gaussian models (<ref refid="classKalman" kindref="compound">Kalman</ref> Filter) and extensions. </para>    </briefdescription>
93    <detaileddescription>
94<para><simplesect kind="author"><para>Vaclav Smidl.</para></simplesect>
95----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty</para><para>Using IT++ for numerical operations ----------------------------------- </para>    </detaileddescription>
96    <programlisting>
97<codeline lineno="1"></codeline>
98<codeline lineno="13"><highlight class="preprocessor">#ifndef<sp/>EKF_TEMP_H</highlight></codeline>
99<codeline lineno="14"><highlight class="preprocessor"></highlight><highlight class="preprocessor">#define<sp/>EKF_TEMP_H</highlight></codeline>
100<codeline lineno="15"><highlight class="preprocessor"></highlight><highlight class="normal"></highlight></codeline>
101<codeline lineno="16"><highlight class="normal"></highlight><highlight class="preprocessor">#include<sp/>&quot;<ref refid="libKF_8h" kindref="compound" tooltip="Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions.">libKF.h</ref>&quot;</highlight><highlight class="normal"></highlight></codeline>
102<codeline lineno="17"><highlight class="normal"></highlight></codeline>
103<codeline lineno="18"><highlight class="normal"></highlight><highlight class="keyword">using<sp/>namespace<sp/></highlight><highlight class="normal">itpp;</highlight></codeline>
104<codeline lineno="19"><highlight class="normal"></highlight></codeline>
105<codeline lineno="21" refid="classEKFful__unQR" refkind="compound"><highlight class="keyword">class<sp/></highlight><highlight class="normal"><ref refid="classEKFful__unQR" kindref="compound" tooltip="Extended Kalman filter with unknown Q and R.">EKFful_unQR</ref><sp/>:<sp/></highlight><highlight class="keyword">public</highlight><highlight class="normal"><sp/><ref refid="classEKFfull" kindref="compound" tooltip="Extended Kalman Filter in full matrices.">EKFfull</ref><sp/>,<sp/></highlight><highlight class="keyword">public</highlight><highlight class="normal"><sp/><ref refid="classBMcond" kindref="compound" tooltip="Conditional Bayesian Filter.">BMcond</ref><sp/>{</highlight></codeline>
106<codeline lineno="22"><highlight class="normal"></highlight><highlight class="keyword">public</highlight><highlight class="normal">:</highlight></codeline>
107<codeline lineno="24" refid="classEKFful__unQR_1873e3a72264f6e777c4443220db15d79" refkind="member"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><ref refid="classEKFful__unQR_1873e3a72264f6e777c4443220db15d79" kindref="member" tooltip="Default constructor.">EKFful_unQR</ref><sp/>(<sp/><ref refid="classRV" kindref="compound" tooltip="Class representing variables, most often random variables.">RV</ref><sp/>rx,<sp/><ref refid="classRV" kindref="compound" tooltip="Class representing variables, most often random variables.">RV</ref><sp/>ry,<ref refid="classRV" kindref="compound" tooltip="Class representing variables, most often random variables.">RV</ref><sp/>ru,<ref refid="classRV" kindref="compound" tooltip="Class representing variables, most often random variables.">RV</ref><sp/>rQR<sp/>)<sp/>:<ref refid="classEKFfull" kindref="compound" tooltip="Extended Kalman Filter in full matrices.">EKFfull</ref><sp/>(<sp/>rx,ry,ru<sp/>),<ref refid="classBMcond" kindref="compound" tooltip="Conditional Bayesian Filter.">BMcond</ref><sp/>(<sp/>rQR<sp/>)<sp/>{};</highlight></codeline>
108<codeline lineno="25" refid="classEKFful__unQR_1b586e534c8a8d219561b0c020329d412" refkind="member"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/></highlight><highlight class="keywordtype">void</highlight><highlight class="normal"><sp/><ref refid="classEKFful__unQR_1b586e534c8a8d219561b0c020329d412" kindref="member" tooltip="Substitute val for rvc.">condition</ref><sp/>(<sp/></highlight><highlight class="keyword">const</highlight><highlight class="normal"><sp/>vec<sp/>&amp;QR0<sp/>)<sp/>{</highlight></codeline>
109<codeline lineno="26"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>Q=diag(QR0(0,dimx-1));</highlight></codeline>
110<codeline lineno="27"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>R=diag(QR0(dimx,dimx+dimy-1));</highlight></codeline>
111<codeline lineno="28"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>};</highlight></codeline>
112<codeline lineno="29"><highlight class="normal">};</highlight></codeline>
113<codeline lineno="30"><highlight class="normal"></highlight></codeline>
114<codeline lineno="31"><highlight class="normal"></highlight></codeline>
115<codeline lineno="32"><highlight class="normal"></highlight><highlight class="preprocessor">#endif<sp/>//EKF_TEMP_H</highlight></codeline>
116    </programlisting>
117    <location file="/home/smidl/work/git/mixpp/bdm/estim/ekf_templ.h"/>
118  </compounddef>
119</doxygen>
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