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Oprava PF a MPF + jejich implementace pro pmsm system

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3<title>mixpp: EKF_unQ Class Reference</title>
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9  <ul>
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18    <li><a href="annotated.html"><span>Class&nbsp;List</span></a></li>
19    <li><a href="hierarchy.html"><span>Class&nbsp;Hierarchy</span></a></li>
20    <li><a href="functions.html"><span>Class&nbsp;Members</span></a></li>
21  </ul>
22</div>
23<h1>EKF_unQ Class Reference</h1><!-- doxytag: class="EKF_unQ" --><!-- doxytag: inherits="EKF&lt; ldmat &gt;,BMcond" -->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>. 
24<a href="#_details">More...</a>
25<p>
26<div class="dynheader">
27Inheritance diagram for EKF_unQ:</div>
28<div class="dynsection">
29<p><center><img src="classEKF__unQ__inherit__graph.png" border="0" usemap="#EKF__unQ__inherit__map" alt="Inheritance graph"></center>
30<map name="EKF__unQ__inherit__map">
31<area shape="rect" href="classEKF.html" title="EKF\&lt; ldmat \&gt;" alt="" coords="7,359,121,385"><area shape="rect" href="classKalman.html" title="Kalman\&lt; ldmat \&gt;" alt="" coords="5,183,141,209"><area shape="rect" href="classEKF.html" title="Extended Kalman Filter." alt="" coords="80,263,184,289"><area shape="rect" href="classBM.html" title="Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities." alt="" coords="64,7,107,33"><area shape="rect" href="classKalman.html" title="Kalman filter with covariance matrices in square root form." alt="" coords="89,87,217,113"><area shape="rect" title="\&lt; ldmat \&gt;" alt="" coords="137,111,145,119"><area shape="rect" title="\&lt; ldmat \&gt;" alt="" coords="80,179,88,187"><area shape="rect" title="\&lt; ldmat \&gt;" alt="" coords="117,287,125,295"><area shape="rect" title="\&lt; ldmat \&gt;" alt="" coords="69,355,77,363"><area shape="rect" href="classBMcond.html" title="Conditional Bayesian Filter." alt="" coords="145,359,217,385"></map>
32<center><font size="2">[<a href="graph_legend.html">legend</a>]</font></center></div>
33<div class="dynheader">
34Collaboration diagram for EKF_unQ:</div>
35<div class="dynsection">
36<p><center><img src="classEKF__unQ__coll__graph.png" border="0" usemap="#EKF__unQ__coll__map" alt="Collaboration graph"></center>
37<map name="EKF__unQ__coll__map">
38<area shape="rect" href="classEKF.html" title="EKF\&lt; ldmat \&gt;" alt="" coords="279,908,393,935"><area shape="rect" href="classKalman.html" title="Kalman\&lt; ldmat \&gt;" alt="" coords="312,695,448,721"><area shape="rect" href="classEKF.html" title="Extended Kalman Filter." alt="" coords="239,809,343,836"><area shape="rect" href="classBM.html" title="Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities." alt="" coords="432,215,475,241"><area shape="rect" href="classKalman.html" title="Kalman filter with covariance matrices in square root form." alt="" coords="448,396,576,423"><area shape="rect" href="classRV.html" title="Class representing variables, most often random variables." alt="" coords="465,7,503,33"><area shape="rect" title="rvu\nrvy" alt="" coords="500,21,508,29"><area shape="rect" title="rvu\nrvy" alt="" coords="445,691,453,699"><area shape="rect" title="rv" alt="" coords="477,31,485,39"><area shape="rect" title="rv" alt="" coords="452,211,460,219"><area shape="rect" href="classepdf.html" title="Probability density function with numerical statistics, e.g. posterior density." alt="" coords="275,103,325,129"><area shape="rect" title="rv" alt="" coords="461,25,469,33"><area shape="rect" title="rv" alt="" coords="321,99,329,107"><area shape="rect" title="rvu\nrvy" alt="" coords="484,31,492,39"><area shape="rect" title="rvu\nrvy" alt="" coords="508,392,516,400"><area shape="rect" href="classdiffbifn.html" title="Class representing a differentiable function of two variables $f(x,u)$." alt="" coords="75,695,141,721"><area shape="rect" title="rvu\nrvx" alt="" coords="461,16,469,24"><area shape="rect" title="rvu\nrvx" alt="" coords="100,691,108,699"><area shape="rect" href="classBMcond.html" title="Conditional Bayesian Filter." alt="" coords="633,159,705,185"><area shape="rect" title="rvc" alt="" coords="500,19,508,27"><area shape="rect" title="rvc" alt="" coords="664,155,672,163"><area shape="rect" href="classldmat.html" title="Matrix stored in LD form, (typically known as UD)." alt="" coords="315,396,373,423"><area shape="rect" title="_iP\n_P\nQ\nR\n_iRy\n_Ry" alt="" coords="341,420,349,428"><area shape="rect" title="_iP\n_P\nQ\nR\n_iRy\n_Ry" alt="" coords="373,691,381,699"><area shape="rect" href="classenorm.html" title="enorm\&lt; ldmat \&gt;" alt="" coords="159,545,289,572"><area shape="rect" title="_iR\nR" alt="" coords="327,420,335,428"><area shape="rect" title="_iR\nR" alt="" coords="231,541,239,549"><area shape="rect" href="classsqmat.html" title="Virtual class for representation of double symmetric matrices in square&#45;root form..." alt="" coords="331,215,392,241"><area shape="rect" title="est\nfy" alt="" coords="228,569,236,577"><area shape="rect" title="est\nfy" alt="" coords="344,691,352,699"><area shape="rect" href="classeEF.html" title="General conjugate exponential family posterior density." alt="" coords="189,215,235,241"><area shape="rect" href="classenorm.html" title="Gaussian density with positive definite (decomposed) covariance matrix." alt="" coords="171,396,291,423"><area shape="rect" title="\&lt; ldmat \&gt;" alt="" coords="217,420,225,428"><area shape="rect" title="\&lt; ldmat \&gt;" alt="" coords="216,541,224,549"><area shape="rect" title="_iR\nR" alt="" coords="271,239,279,247"><area shape="rect" title="_iR\nR" alt="" coords="229,392,237,400"><area shape="rect" title="_iP\n_P\nQ\nR\n_iRy\n_Ry" alt="" coords="291,239,299,247"><area shape="rect" title="_iP\n_P\nQ\nR\n_iRy\n_Ry" alt="" coords="472,392,480,400"><area shape="rect" title="\&lt; ldmat \&gt;" alt="" coords="507,420,515,428"><area shape="rect" title="\&lt; ldmat \&gt;" alt="" coords="400,691,408,699"><area shape="rect" title="pfxu\nphxu" alt="" coords="111,719,119,727"><area shape="rect" title="pfxu\nphxu" alt="" coords="299,904,307,912"><area shape="rect" title="pfxu\nphxu" alt="" coords="131,719,139,727"><area shape="rect" title="pfxu\nphxu" alt="" coords="267,805,275,813"><area shape="rect" href="classfnc.html" title="Class representing function $f(x)$ of variable $x$ represented by rv." alt="" coords="5,545,45,572"><area shape="rect" title="\&lt; ldmat \&gt;" alt="" coords="284,833,292,841"><area shape="rect" title="\&lt; ldmat \&gt;" alt="" coords="311,904,319,912"></map>
39<center><font size="2">[<a href="graph_legend.html">legend</a>]</font></center></div>
40
41<p>
42<a href="classEKF__unQ-members.html">List of all members.</a><table border="0" cellpadding="0" cellspacing="0">
43<tr><td></td></tr>
44<tr><td colspan="2"><br><h2>Public Member Functions</h2></td></tr>
45<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="159eaaa5a05c5ceecdaa20956a307244"></a><!-- doxytag: member="EKF_unQ::EKF_unQ" ref="159eaaa5a05c5ceecdaa20956a307244" args="(RV rx, RV ry, RV ru, RV rQ)" -->
46&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEKF__unQ.html#159eaaa5a05c5ceecdaa20956a307244">EKF_unQ</a> (<a class="el" href="classRV.html">RV</a> rx, <a class="el" href="classRV.html">RV</a> ry, <a class="el" href="classRV.html">RV</a> ru, <a class="el" href="classRV.html">RV</a> rQ)</td></tr>
47
48<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Default constructor. <br></td></tr>
49<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="cd06a8c662da244cf61bb5bd39688c99"></a><!-- doxytag: member="EKF_unQ::condition" ref="cd06a8c662da244cf61bb5bd39688c99" args="(const vec &amp;Q0)" -->
50void&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEKF__unQ.html#cd06a8c662da244cf61bb5bd39688c99">condition</a> (const vec &amp;Q0)</td></tr>
51
52<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Substitute <code>val</code> for <code>rvc</code>. <br></td></tr>
53<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="28d058ae4d24d992d2f055419a06ee66"></a><!-- doxytag: member="EKF_unQ::set_parameters" ref="28d058ae4d24d992d2f055419a06ee66" args="(diffbifn *pfxu, diffbifn *phxu, const ldmatQ0, const ldmatR0)" -->
54void&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEKF.html#28d058ae4d24d992d2f055419a06ee66">set_parameters</a> (<a class="el" href="classdiffbifn.html">diffbifn</a> *pfxu, <a class="el" href="classdiffbifn.html">diffbifn</a> *phxu, const ldmatQ0, const ldmatR0)</td></tr>
55
56<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Set nonlinear functions for mean values and covariance matrices. <br></td></tr>
57<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="239b28a0380946f5749b2f8d2807f93a"></a><!-- doxytag: member="EKF_unQ::set_parameters" ref="239b28a0380946f5749b2f8d2807f93a" args="(const mat &amp;A0, const mat &amp;B0, const mat &amp;C0, const mat &amp;D0, const ldmat &amp;R0, const ldmat &amp;Q0)" -->
58void&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#239b28a0380946f5749b2f8d2807f93a">set_parameters</a> (const mat &amp;A0, const mat &amp;B0, const mat &amp;C0, const mat &amp;D0, const <a class="el" href="classldmat.html">ldmat</a> &amp;R0, const <a class="el" href="classldmat.html">ldmat</a> &amp;Q0)</td></tr>
59
60<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Set parameters with check of relevance. <br></td></tr>
61<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="c79c62c9b3e0b56b3aaa1b6f1d9a7af7"></a><!-- doxytag: member="EKF_unQ::bayes" ref="c79c62c9b3e0b56b3aaa1b6f1d9a7af7" args="(const vec &amp;dt)" -->
62void&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEKF.html#c79c62c9b3e0b56b3aaa1b6f1d9a7af7">bayes</a> (const vec &amp;dt)</td></tr>
63
64<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Here dt = [yt;ut] of appropriate dimensions. <br></td></tr>
65<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="87b07867fd4c133aa89a18543f68d9f9"></a><!-- doxytag: member="EKF_unQ::bayes" ref="87b07867fd4c133aa89a18543f68d9f9" args="(mat Dt)" -->
66void&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html#87b07867fd4c133aa89a18543f68d9f9">bayes</a> (mat Dt)</td></tr>
67
68<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Batch Bayes rule (columns of Dt are observations). <br></td></tr>
69<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="80bcf29466d9a9dd2b8f74699807d0c0"></a><!-- doxytag: member="EKF_unQ::set_est" ref="80bcf29466d9a9dd2b8f74699807d0c0" args="(const vec &amp;mu0, const ldmat &amp;P0)" -->
70void&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#80bcf29466d9a9dd2b8f74699807d0c0">set_est</a> (const vec &amp;mu0, const <a class="el" href="classldmat.html">ldmat</a> &amp;P0)</td></tr>
71
72<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Set estimate values, used e.g. in initialization. <br></td></tr>
73<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="a213c57aef55b2645e550bed81cfc0d4"></a><!-- doxytag: member="EKF_unQ::_epdf" ref="a213c57aef55b2645e550bed81cfc0d4" args="()" -->
74<a class="el" href="classepdf.html">epdf</a> &amp;&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#a213c57aef55b2645e550bed81cfc0d4">_epdf</a> ()</td></tr>
75
76<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">access function <br></td></tr>
77<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="126bd2595c48e311fc2a7ab72876092a"></a><!-- doxytag: member="EKF_unQ::_rv" ref="126bd2595c48e311fc2a7ab72876092a" args="() const " -->
78const <a class="el" href="classRV.html">RV</a> &amp;&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html#126bd2595c48e311fc2a7ab72876092a">_rv</a> () const </td></tr>
79
80<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">access function <br></td></tr>
81<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="87f4a547d2c29180be88175e5eab9c88"></a><!-- doxytag: member="EKF_unQ::_ll" ref="87f4a547d2c29180be88175e5eab9c88" args="() const " -->
82double&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html#87f4a547d2c29180be88175e5eab9c88">_ll</a> () const </td></tr>
83
84<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">access function <br></td></tr>
85<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="3fa60348b2da6b4208bb95b8d146900a"></a><!-- doxytag: member="EKF_unQ::_rvc" ref="3fa60348b2da6b4208bb95b8d146900a" args="() const " -->
86const <a class="el" href="classRV.html">RV</a> &amp;&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classBMcond.html#3fa60348b2da6b4208bb95b8d146900a">_rvc</a> () const </td></tr>
87
88<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">access function <br></td></tr>
89<tr><td colspan="2"><br><h2>Protected Attributes</h2></td></tr>
90<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="7501230c2fafa3655887d2da23b3184c"></a><!-- doxytag: member="EKF_unQ::rvy" ref="7501230c2fafa3655887d2da23b3184c" args="" -->
91<a class="el" href="classRV.html">RV</a>&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#7501230c2fafa3655887d2da23b3184c">rvy</a></td></tr>
92
93<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Indetifier of output rv. <br></td></tr>
94<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="44a16ffd5ac1e6e39bae34fea9e1e498"></a><!-- doxytag: member="EKF_unQ::rvu" ref="44a16ffd5ac1e6e39bae34fea9e1e498" args="" -->
95<a class="el" href="classRV.html">RV</a>&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#44a16ffd5ac1e6e39bae34fea9e1e498">rvu</a></td></tr>
96
97<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Indetifier of exogeneous rv. <br></td></tr>
98<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="39c8c403b46fa3b8c7da77cb2e3729eb"></a><!-- doxytag: member="EKF_unQ::dimx" ref="39c8c403b46fa3b8c7da77cb2e3729eb" args="" -->
99int&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#39c8c403b46fa3b8c7da77cb2e3729eb">dimx</a></td></tr>
100
101<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">cache of rv.count() <br></td></tr>
102<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="ba17b956df1e38b31fbbc299c8213b6a"></a><!-- doxytag: member="EKF_unQ::dimy" ref="ba17b956df1e38b31fbbc299c8213b6a" args="" -->
103int&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#ba17b956df1e38b31fbbc299c8213b6a">dimy</a></td></tr>
104
105<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">cache of rvy.count() <br></td></tr>
106<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="b0153795a1444b6968a86409c778d9ce"></a><!-- doxytag: member="EKF_unQ::dimu" ref="b0153795a1444b6968a86409c778d9ce" args="" -->
107int&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#b0153795a1444b6968a86409c778d9ce">dimu</a></td></tr>
108
109<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">cache of rvu.count() <br></td></tr>
110<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="5e02efe86ee91e9c74b93b425fe060b9"></a><!-- doxytag: member="EKF_unQ::A" ref="5e02efe86ee91e9c74b93b425fe060b9" args="" -->
111mat&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#5e02efe86ee91e9c74b93b425fe060b9">A</a></td></tr>
112
113<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Matrix A. <br></td></tr>
114<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="dc87704284a6c0bca13bf51f4345a50a"></a><!-- doxytag: member="EKF_unQ::B" ref="dc87704284a6c0bca13bf51f4345a50a" args="" -->
115mat&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#dc87704284a6c0bca13bf51f4345a50a">B</a></td></tr>
116
117<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Matrix B. <br></td></tr>
118<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="86a805cd6515872d1132ad0d6eb5dc13"></a><!-- doxytag: member="EKF_unQ::C" ref="86a805cd6515872d1132ad0d6eb5dc13" args="" -->
119mat&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#86a805cd6515872d1132ad0d6eb5dc13">C</a></td></tr>
120
121<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Matrix C. <br></td></tr>
122<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="d69f774ba3335c970c1c5b1d182f4dd1"></a><!-- doxytag: member="EKF_unQ::D" ref="d69f774ba3335c970c1c5b1d182f4dd1" args="" -->
123mat&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#d69f774ba3335c970c1c5b1d182f4dd1">D</a></td></tr>
124
125<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Matrix D. <br></td></tr>
126<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="9b69015c800eb93f3ee49da23a6f55d9"></a><!-- doxytag: member="EKF_unQ::Q" ref="9b69015c800eb93f3ee49da23a6f55d9" args="" -->
127<a class="el" href="classldmat.html">ldmat</a>&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#9b69015c800eb93f3ee49da23a6f55d9">Q</a></td></tr>
128
129<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Matrix Q in square-root form. <br></td></tr>
130<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="11d171dc0e0ab111c56a70f98b97b3ec"></a><!-- doxytag: member="EKF_unQ::R" ref="11d171dc0e0ab111c56a70f98b97b3ec" args="" -->
131<a class="el" href="classldmat.html">ldmat</a>&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#11d171dc0e0ab111c56a70f98b97b3ec">R</a></td></tr>
132
133<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Matrix R in square-root form. <br></td></tr>
134<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="5568c74bac67ae6d3b1061dba60c9424"></a><!-- doxytag: member="EKF_unQ::est" ref="5568c74bac67ae6d3b1061dba60c9424" args="" -->
135<a class="el" href="classenorm.html">enorm</a>&lt; <a class="el" href="classldmat.html">ldmat</a> &gt;&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#5568c74bac67ae6d3b1061dba60c9424">est</a></td></tr>
136
137<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">posterior density on $x_t$ <br></td></tr>
138<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="e580ab06483952bd03f2e651763e184f"></a><!-- doxytag: member="EKF_unQ::fy" ref="e580ab06483952bd03f2e651763e184f" args="" -->
139<a class="el" href="classenorm.html">enorm</a>&lt; <a class="el" href="classldmat.html">ldmat</a> &gt;&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#e580ab06483952bd03f2e651763e184f">fy</a></td></tr>
140
141<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">preditive density on $y_t$ <br></td></tr>
142<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="d422f51467c7a06174af2476d2826132"></a><!-- doxytag: member="EKF_unQ::_K" ref="d422f51467c7a06174af2476d2826132" args="" -->
143mat&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#d422f51467c7a06174af2476d2826132">_K</a></td></tr>
144
145<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">placeholder for <a class="el" href="classKalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> gain <br></td></tr>
146<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="5188eb0329f8561f0b357af329769bf8"></a><!-- doxytag: member="EKF_unQ::_yp" ref="5188eb0329f8561f0b357af329769bf8" args="" -->
147vec *&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#5188eb0329f8561f0b357af329769bf8">_yp</a></td></tr>
148
149<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">cache of fy.mu <br></td></tr>
150<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="e17dd745daa8a958035a334a56fa4674"></a><!-- doxytag: member="EKF_unQ::_Ry" ref="e17dd745daa8a958035a334a56fa4674" args="" -->
151<a class="el" href="classldmat.html">ldmat</a> *&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#e17dd745daa8a958035a334a56fa4674">_Ry</a></td></tr>
152
153<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">cache of fy.R <br></td></tr>
154<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="8a35bd14afa5a2d9bbd23ad333bec874"></a><!-- doxytag: member="EKF_unQ::_iRy" ref="8a35bd14afa5a2d9bbd23ad333bec874" args="" -->
155<a class="el" href="classldmat.html">ldmat</a> *&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#8a35bd14afa5a2d9bbd23ad333bec874">_iRy</a></td></tr>
156
157<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">cache of fy.iR <br></td></tr>
158<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="d1f669b5b3421a070cc75d77b55ba734"></a><!-- doxytag: member="EKF_unQ::_mu" ref="d1f669b5b3421a070cc75d77b55ba734" args="" -->
159vec *&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#d1f669b5b3421a070cc75d77b55ba734">_mu</a></td></tr>
160
161<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">cache of est.mu <br></td></tr>
162<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="b3388218567128a797e69b109138271d"></a><!-- doxytag: member="EKF_unQ::_P" ref="b3388218567128a797e69b109138271d" args="" -->
163<a class="el" href="classldmat.html">ldmat</a> *&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#b3388218567128a797e69b109138271d">_P</a></td></tr>
164
165<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">cache of est.R <br></td></tr>
166<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="13fec2c93d8a132201e28b70270acf5c"></a><!-- doxytag: member="EKF_unQ::_iP" ref="13fec2c93d8a132201e28b70270acf5c" args="" -->
167<a class="el" href="classldmat.html">ldmat</a> *&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#13fec2c93d8a132201e28b70270acf5c">_iP</a></td></tr>
168
169<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">cache of est.iR <br></td></tr>
170<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="af00f0612fabe66241dd507188cdbf88"></a><!-- doxytag: member="EKF_unQ::rv" ref="af00f0612fabe66241dd507188cdbf88" args="" -->
171<a class="el" href="classRV.html">RV</a>&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html#af00f0612fabe66241dd507188cdbf88">rv</a></td></tr>
172
173<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Random variable of the posterior. <br></td></tr>
174<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="5623fef6572a08c2b53b8c87b82dc979"></a><!-- doxytag: member="EKF_unQ::ll" ref="5623fef6572a08c2b53b8c87b82dc979" args="" -->
175double&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html#5623fef6572a08c2b53b8c87b82dc979">ll</a></td></tr>
176
177<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Logarithm of marginalized data likelihood. <br></td></tr>
178<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="bf6fb59b30141074f8ee1e2f43d03129"></a><!-- doxytag: member="EKF_unQ::evalll" ref="bf6fb59b30141074f8ee1e2f43d03129" args="" -->
179bool&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html#bf6fb59b30141074f8ee1e2f43d03129">evalll</a></td></tr>
180
181<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">If true, the filter will compute likelihood of the data record and store it in <code>ll</code> . Set to false if you want to save time. <br></td></tr>
182<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="9ba793c8ec453f04d372d17195ed8dec"></a><!-- doxytag: member="EKF_unQ::rvc" ref="9ba793c8ec453f04d372d17195ed8dec" args="" -->
183<a class="el" href="classRV.html">RV</a>&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classBMcond.html#9ba793c8ec453f04d372d17195ed8dec">rvc</a></td></tr>
184
185<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Identificator of the conditioning variable. <br></td></tr>
186</table>
187<hr><a name="_details"></a><h2>Detailed Description</h2>
188Extended <a class="el" href="classKalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> filter with unknown <code>Q</code>. <hr>The documentation for this class was generated from the following file:<ul>
189<li>work/mixpp/tests/pmsm_unkQpf.cpp</ul>
190<hr size="1"><address style="text-align: right;"><small>Generated on Wed Mar 5 15:40:05 2008 for mixpp by&nbsp;
191<a href="http://www.doxygen.org/index.html">
192<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.3 </small></address>
193</body>
194</html>
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