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| 1 | \section{work/mixpp/pmsm/simulator\_\-zdenek/ekf\_\-example/ekf\_\-obj.h File Reference} |
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| 2 | \label{ekf__obj_8h}\index{work/mixpp/pmsm/simulator\_\-zdenek/ekf\_\-example/ekf\_\-obj.h@{work/mixpp/pmsm/simulator\_\-zdenek/ekf\_\-example/ekf\_\-obj.h}} |
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| 3 | Bayesian Filtering for linear Gaussian models (\doxyref{Kalman}{p.}{classKalman} Filter) and extensions. |
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| 4 | |
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| 5 | {\tt \#include $<$itpp/itbase.h$>$}\par |
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| 6 | {\tt \#include $<$estim/libKF.h$>$}\par |
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| 7 | {\tt \#include \char`\"{}fixed.h\char`\"{}}\par |
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| 8 | {\tt \#include \char`\"{}matrix.h\char`\"{}}\par |
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| 9 | {\tt \#include \char`\"{}reference.h\char`\"{}}\par |
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| 10 | {\tt \#include \char`\"{}parametry\_\-motoru.h\char`\"{}}\par |
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| 11 | |
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| 12 | |
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| 13 | Include dependency graph for ekf\_\-obj.h:\nopagebreak |
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| 14 | \begin{figure}[H] |
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| 15 | \begin{center} |
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| 16 | \leavevmode |
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| 17 | \includegraphics[width=298pt]{ekf__obj_8h__incl} |
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| 18 | \end{center} |
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| 19 | \end{figure} |
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| 20 | \subsection*{Classes} |
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| 21 | \begin{CompactItemize} |
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| 22 | \item |
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| 23 | class {\bf EKFfixed} |
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| 24 | \begin{CompactList}\small\item\em Extended \doxyref{Kalman}{p.}{classKalman} Filter in full matrices. \item\end{CompactList}\end{CompactItemize} |
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| 25 | \subsection*{Functions} |
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| 26 | \begin{CompactItemize} |
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| 27 | \item |
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| 28 | double \textbf{minQ} (double Q)\label{ekf__obj_8h_20a104802ddcb544b8de3fe3e5e03253} |
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| 29 | |
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| 30 | \end{CompactItemize} |
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| 31 | |
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| 32 | |
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| 33 | \subsection{Detailed Description} |
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| 34 | Bayesian Filtering for linear Gaussian models (\doxyref{Kalman}{p.}{classKalman} Filter) and extensions. |
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| 35 | |
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| 36 | \begin{Desc} |
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| 37 | \item[Author:]Vaclav Smidl.\end{Desc} |
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| 38 | ----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty |
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| 39 | |
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| 40 | Using IT++ for numerical operations ----------------------------------- |
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