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Oprava PF a MPF + jejich implementace pro pmsm system

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[3]1\section{mixpp Class List}
2Here are the classes, structs, unions and interfaces with brief descriptions:\begin{CompactList}
[22]3\item\contentsline{section}{{\bf bilinfn} (Class representing function \$f(x,u) = Ax+Bu\$ )}{\pageref{classbilinfn}}{}
[4]4\item\contentsline{section}{{\bf BM} (Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities )}{\pageref{classBM}}{}
[32]5\item\contentsline{section}{{\bf BMcond} (Conditional Bayesian Filter )}{\pageref{classBMcond}}{}
[22]6\item\contentsline{section}{{\bf constfn} (Class representing function \$f(x) = a\$, here rv is empty )}{\pageref{classconstfn}}{}
7\item\contentsline{section}{{\bf diffbifn} (Class representing a differentiable function of two variables \$f(x,u)\$ )}{\pageref{classdiffbifn}}{}
[19]8\item\contentsline{section}{{\bf DS} (Abstract class for discrete-time sources of data )}{\pageref{classDS}}{}
[8]9\item\contentsline{section}{{\bf eEF} (General conjugate exponential family posterior density )}{\pageref{classeEF}}{}
[32]10\item\contentsline{section}{{\bf eEmp} (Weighted empirical density )}{\pageref{classeEmp}}{}
11\item\contentsline{section}{{\bf egamma} (Gamma posterior density )}{\pageref{classegamma}}{}
[22]12\item\contentsline{section}{{\bf EKF$<$ sq\_\-T $>$} (Extended \doxyref{Kalman}{p.}{classKalman} Filter )}{\pageref{classEKF}}{}
[33]13\item\contentsline{section}{{\bf EKF\_\-unQ} (Extended \doxyref{Kalman}{p.}{classKalman} filter with unknown {\tt Q} )}{\pageref{classEKF__unQ}}{}
[22]14\item\contentsline{section}{{\bf enorm$<$ sq\_\-T $>$} (Gaussian density with positive definite (decomposed) covariance matrix )}{\pageref{classenorm}}{}
[4]15\item\contentsline{section}{{\bf epdf} (Probability density function with numerical statistics, e.g. posterior density )}{\pageref{classepdf}}{}
[32]16\item\contentsline{section}{{\bf euni} (Uniform distributed density on a rectangular support )}{\pageref{classeuni}}{}
[22]17\item\contentsline{section}{{\bf fnc} (Class representing function \$f(x)\$ of variable \$x\$ represented by {\tt rv} )}{\pageref{classfnc}}{}
[8]18\item\contentsline{section}{{\bf fsqmat} (Fake \doxyref{sqmat}{p.}{classsqmat}. This class maps \doxyref{sqmat}{p.}{classsqmat} operations to operations on full matrix )}{\pageref{classfsqmat}}{}
[32]19\item\contentsline{section}{{\bf itpp::Gamma\_\-RNG} (Gamma distribution )}{\pageref{classitpp_1_1Gamma__RNG}}{}
[33]20\item\contentsline{section}{{\bf IMpmsm} (State evolution model for a PMSM drive and its derivative with respect to \$x\$ )}{\pageref{classIMpmsm}}{}
[22]21\item\contentsline{section}{{\bf Kalman$<$ sq\_\-T $>$} (\doxyref{Kalman}{p.}{classKalman} filter with covariance matrices in square root form )}{\pageref{classKalman}}{}
[8]22\item\contentsline{section}{{\bf KalmanFull} (Basic \doxyref{Kalman}{p.}{classKalman} filter with full matrices (education purpose only)! Will be deleted soon! )}{\pageref{classKalmanFull}}{}
[32]23\item\contentsline{section}{{\bf KFcondQR} (\doxyref{Kalman}{p.}{classKalman} Filter with conditional diagonal matrices R and Q )}{\pageref{classKFcondQR}}{}
[33]24\item\contentsline{section}{{\bf KFcondR} (\doxyref{Kalman}{p.}{classKalman} Filter with conditional diagonal matrices R and Q )}{\pageref{classKFcondR}}{}
25\item\contentsline{section}{{\bf ldmat} (Matrix stored in LD form, (typically known as UD) )}{\pageref{classldmat}}{}
[22]26\item\contentsline{section}{{\bf linfn} (Class representing function \$f(x) = Ax+B\$ )}{\pageref{classlinfn}}{}
[33]27\item\contentsline{section}{{\bf mEF} (Exponential family model )}{\pageref{classmEF}}{}
[19]28\item\contentsline{section}{{\bf MemDS} (Class representing off-line data stored in memory )}{\pageref{classMemDS}}{}
[32]29\item\contentsline{section}{{\bf mgamma} (Gamma random walk )}{\pageref{classmgamma}}{}
30\item\contentsline{section}{{\bf mlnorm$<$ sq\_\-T $>$} (Normal distributed linear function with linear function of mean value; )}{\pageref{classmlnorm}}{}
[4]31\item\contentsline{section}{{\bf mpdf} (Conditional probability density, e.g. modeling some dependencies )}{\pageref{classmpdf}}{}
[32]32\item\contentsline{section}{{\bf MPF$<$ BM\_\-T $>$} (Marginalized Particle filter )}{\pageref{classMPF}}{}
[33]33\item\contentsline{section}{{\bf OMpmsm} (Observation model for PMSM drive and its derivative with respect to \$x\$ )}{\pageref{classOMpmsm}}{}
[32]34\item\contentsline{section}{{\bf PF} (Trivial particle filter with proposal density equal to parameter evolution model )}{\pageref{classPF}}{}
[4]35\item\contentsline{section}{{\bf RV} (Class representing variables, most often random variables )}{\pageref{classRV}}{}
[8]36\item\contentsline{section}{{\bf sqmat} (Virtual class for representation of double symmetric matrices in square-root form )}{\pageref{classsqmat}}{}
[3]37\end{CompactList}
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