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4 | <compoundname>pmsm_sim.cpp</compoundname> |
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5 | <includes local="no">itpp/itbase.h</includes> |
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6 | <includes refid="libKF_8h" local="no">estim/libKF.h</includes> |
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7 | <includes refid="libPF_8h" local="no">estim/libPF.h</includes> |
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8 | <includes refid="libFN_8h" local="no">stat/libFN.h</includes> |
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9 | <includes refid="pmsm_8h" local="yes">pmsm.h</includes> |
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10 | <includes refid="simulator_8h" local="yes">simulator.h</includes> |
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26 | </childnode> |
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57 | <label>../stat/libFN.h</label> |
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90 | <label>../math/libDC.h</label> |
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93 | </childnode> |
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94 | </node> |
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95 | <node id="584"> |
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96 | <label>work/git/mixpp/pmsm/pmsm_sim.cpp</label> |
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97 | <link refid="pmsm_sim.cpp"/> |
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111 | </incdepgraph> |
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112 | <innerclass refid="classEKF__unQ" prot="public">EKF_unQ</innerclass> |
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113 | <sectiondef kind="func"> |
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114 | <memberdef kind="function" id="pmsm__sim_8cpp_1e66f6b31b5ad750f1fe042a706a4e3d4" prot="public" static="no" const="no" explicit="no" inline="no" virt="non-virtual"> |
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115 | <type>int</type> |
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116 | <definition>int main</definition> |
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117 | <argsstring>()</argsstring> |
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118 | <name>main</name> |
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119 | <briefdescription> |
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120 | </briefdescription> |
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121 | <detaileddescription> |
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122 | </detaileddescription> |
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123 | <inbodydescription> |
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124 | </inbodydescription> |
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125 | <location file="/home/smidl/work/git/mixpp/pmsm/pmsm_sim.cpp" line="35" bodyfile="/home/smidl/work/git/mixpp/pmsm/pmsm_sim.cpp" bodystart="35" bodyend="129"/> |
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126 | </memberdef> |
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127 | </sectiondef> |
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128 | <briefdescription> |
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129 | </briefdescription> |
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130 | <detaileddescription> |
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131 | </detaileddescription> |
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132 | <programlisting> |
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133 | <codeline lineno="1"><highlight class="comment">/*</highlight></codeline> |
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134 | <codeline lineno="2"><highlight class="comment"><sp/><sp/>\file</highlight></codeline> |
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135 | <codeline lineno="3"><highlight class="comment"><sp/><sp/>\brief<sp/>Models<sp/>for<sp/>synchronous<sp/>electric<sp/>drive<sp/>using<sp/>IT++<sp/>and<sp/>BDM</highlight></codeline> |
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136 | <codeline lineno="4"><highlight class="comment"><sp/><sp/>\author<sp/>Vaclav<sp/>Smidl.</highlight></codeline> |
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137 | <codeline lineno="5"><highlight class="comment"></highlight></codeline> |
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138 | <codeline lineno="6"><highlight class="comment"><sp/><sp/>-----------------------------------</highlight></codeline> |
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139 | <codeline lineno="7"><highlight class="comment"><sp/><sp/>BDM++<sp/>-<sp/>C++<sp/>library<sp/>for<sp/>Bayesian<sp/>Decision<sp/>Making<sp/>under<sp/>Uncertainty</highlight></codeline> |
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140 | <codeline lineno="8"><highlight class="comment"></highlight></codeline> |
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141 | <codeline lineno="9"><highlight class="comment"><sp/><sp/>Using<sp/>IT++<sp/>for<sp/>numerical<sp/>operations</highlight></codeline> |
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142 | <codeline lineno="10"><highlight class="comment"><sp/><sp/>-----------------------------------</highlight></codeline> |
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143 | <codeline lineno="11"><highlight class="comment">*/</highlight><highlight class="normal"></highlight></codeline> |
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144 | <codeline lineno="12"><highlight class="normal"></highlight></codeline> |
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145 | <codeline lineno="13"><highlight class="normal"></highlight><highlight class="preprocessor">#include<sp/><itpp/itbase.h></highlight><highlight class="normal"></highlight></codeline> |
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146 | <codeline lineno="14"><highlight class="normal"></highlight><highlight class="preprocessor">#include<sp/><<ref refid="libKF_8h" kindref="compound" tooltip="Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions.">estim/libKF.h</ref>></highlight><highlight class="normal"></highlight></codeline> |
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147 | <codeline lineno="15"><highlight class="normal"></highlight><highlight class="preprocessor">#include<sp/><<ref refid="libPF_8h" kindref="compound" tooltip="Bayesian Filtering using stochastic sampling (Particle Filters).">estim/libPF.h</ref>></highlight><highlight class="normal"></highlight></codeline> |
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148 | <codeline lineno="16"><highlight class="normal"></highlight><highlight class="preprocessor">#include<sp/><stat/libFN.h></highlight><highlight class="normal"></highlight></codeline> |
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149 | <codeline lineno="17"><highlight class="normal"></highlight></codeline> |
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150 | <codeline lineno="18"><highlight class="normal"></highlight><highlight class="preprocessor">#include<sp/>"pmsm.h"</highlight><highlight class="normal"></highlight></codeline> |
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151 | <codeline lineno="19"><highlight class="normal"></highlight><highlight class="preprocessor">#include<sp/>"simulator.h"</highlight><highlight class="normal"></highlight></codeline> |
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152 | <codeline lineno="20"><highlight class="normal"></highlight></codeline> |
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153 | <codeline lineno="21"><highlight class="normal"></highlight><highlight class="keyword">using<sp/>namespace<sp/></highlight><highlight class="normal">itpp;</highlight></codeline> |
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154 | <codeline lineno="23" refid="classEKF__unQ" refkind="compound"><highlight class="keyword">class<sp/></highlight><highlight class="normal"><ref refid="classEKF__unQ" kindref="compound" tooltip="Extended Kalman filter with unknown Q.">EKF_unQ</ref><sp/>:<sp/></highlight><highlight class="keyword">public</highlight><highlight class="normal"><sp/><ref refid="classEKFCh" kindref="compound" tooltip="Extended Kalman Filter in Square root.">EKFCh</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> |
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155 | <codeline lineno="24"><highlight class="normal"></highlight><highlight class="keyword">public</highlight><highlight class="normal">:</highlight></codeline> |
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156 | <codeline lineno="26" refid="classEKF__unQ_1159eaaa5a05c5ceecdaa20956a307244" refkind="member"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><ref refid="classEKF__unQ_1159eaaa5a05c5ceecdaa20956a307244" kindref="member" tooltip="Default constructor.">EKF_unQ</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/>rQ<sp/>)<sp/>:<ref refid="classEKFCh" kindref="compound" tooltip="Extended Kalman Filter in Square root.">EKFCh</ref><sp/>(<sp/>rx,ry,ru<sp/>),<ref refid="classBMcond" kindref="compound" tooltip="Conditional Bayesian Filter.">BMcond</ref><sp/>(<sp/>rQ<sp/>)<sp/>{};</highlight></codeline> |
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157 | <codeline lineno="27" refid="classEKF__unQ_1cd06a8c662da244cf61bb5bd39688c99" 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="classEKF__unQ_1cd06a8c662da244cf61bb5bd39688c99" kindref="member" tooltip="Substitute val for rvc.">condition</ref><sp/>(<sp/></highlight><highlight class="keyword">const</highlight><highlight class="normal"><sp/>vec<sp/>&Q0<sp/>)<sp/>{</highlight></codeline> |
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158 | <codeline lineno="28"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><ref refid="classKalman_19b69015c800eb93f3ee49da23a6f55d9" kindref="member" tooltip="Matrix Q in square-root form.">Q</ref>.<ref refid="classchmat_1a4fc7f9b0539b97c414442a22f3db6e8" kindref="member" tooltip="Access functions.">setD</ref><sp/>(<sp/>Q0,0<sp/>);</highlight></codeline> |
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159 | <codeline lineno="29"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/></highlight><highlight class="comment">//from<sp/>EKF</highlight><highlight class="normal"></highlight></codeline> |
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160 | <codeline lineno="30"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><ref refid="classKalmanCh_194ee9da75b0e0f632e4a354988ca3798" kindref="member" tooltip="pre array (triangular matrix)">preA</ref>.set_submatrix<sp/>(<sp/><ref refid="classKalman_1ba17b956df1e38b31fbbc299c8213b6a" kindref="member" tooltip="cache of rvy.count()">dimy</ref>+<ref refid="classKalman_139c8c403b46fa3b8c7da77cb2e3729eb" kindref="member" tooltip="cache of rv.count()">dimx</ref>,<ref refid="classKalman_1ba17b956df1e38b31fbbc299c8213b6a" kindref="member" tooltip="cache of rvy.count()">dimy</ref>,<ref refid="classKalman_19b69015c800eb93f3ee49da23a6f55d9" kindref="member" tooltip="Matrix Q in square-root form.">Q</ref>.<ref refid="classchmat_19c50d31c999d85d8e9d8cf2b69b6ac8c" kindref="member" tooltip="Access function.">_Ch</ref>()<sp/>);</highlight></codeline> |
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161 | <codeline lineno="31"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>};</highlight></codeline> |
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162 | <codeline lineno="32"><highlight class="normal">};</highlight></codeline> |
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163 | <codeline lineno="33"><highlight class="normal"></highlight></codeline> |
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164 | <codeline lineno="34"><highlight class="normal"></highlight></codeline> |
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165 | <codeline lineno="35"><highlight class="normal"></highlight><highlight class="keywordtype">int</highlight><highlight class="normal"><sp/><ref refid="sim__var_8cpp_1e66f6b31b5ad750f1fe042a706a4e3d4" kindref="member" tooltip="Extended Kalman filter with unknown Q.">main</ref>()<sp/>{</highlight></codeline> |
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166 | <codeline lineno="36"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/></highlight><highlight class="comment">//<sp/>Kalman<sp/>filter</highlight><highlight class="normal"></highlight></codeline> |
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167 | <codeline lineno="37"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/></highlight><highlight class="keywordtype">int</highlight><highlight class="normal"><sp/>Ndat<sp/>=<sp/>30000;</highlight></codeline> |
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168 | <codeline lineno="38"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/></highlight><highlight class="keywordtype">double</highlight><highlight class="normal"><sp/>h<sp/>=<sp/>1e-6;</highlight></codeline> |
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169 | <codeline lineno="39"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/></highlight><highlight class="keywordtype">int</highlight><highlight class="normal"><sp/>Nsimstep<sp/>=<sp/>125;</highlight></codeline> |
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170 | <codeline lineno="40"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/></highlight><highlight class="keywordtype">int</highlight><highlight class="normal"><sp/>Npart<sp/>=<sp/>1000;</highlight></codeline> |
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171 | <codeline lineno="41"><highlight class="normal"></highlight></codeline> |
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172 | <codeline lineno="42"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/></highlight><highlight class="comment">//<sp/>internal<sp/>model</highlight><highlight class="normal"></highlight></codeline> |
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173 | <codeline lineno="43"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><ref refid="classIMpmsm" kindref="compound" tooltip="State evolution model for a PMSM drive and its derivative with respect to $.">IMpmsm</ref><sp/>fxu;</highlight></codeline> |
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174 | <codeline lineno="44"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/></highlight><highlight class="comment">//<sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>Rs<sp/><sp/><sp/><sp/>Ls<sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>dt<sp/><sp/><sp/><sp/><sp/><sp/><sp/>Fmag(Ypm)<sp/>kp<sp/><sp/><sp/>p<sp/><sp/><sp/><sp/>J<sp/><sp/><sp/><sp/><sp/>Bf(Mz)</highlight><highlight class="normal"></highlight></codeline> |
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175 | <codeline lineno="45"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>fxu.<ref refid="classIMpmsm_142818f3426d99fecb7e97be8ffe2e228" kindref="member" tooltip="Set mechanical and electrical variables.">set_parameters</ref><sp/>(<sp/>0.28,<sp/>0.003465,<sp/>Nsimstep*h,<sp/>0.1989,<sp/><sp/><sp/>1.5<sp/>,4.0,<sp/>0.04,<sp/>0.0<sp/>);</highlight></codeline> |
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176 | <codeline lineno="46"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/></highlight><highlight class="comment">//<sp/>observation<sp/>model</highlight><highlight class="normal"></highlight></codeline> |
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177 | <codeline lineno="47"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><ref refid="classOMpmsm" kindref="compound" tooltip="Observation model for PMSM drive and its derivative with respect to .">OMpmsm</ref><sp/>hxu;</highlight></codeline> |
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178 | <codeline lineno="48"><highlight class="normal"></highlight></codeline> |
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179 | <codeline lineno="49"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>vec<sp/>mu0=<sp/></highlight><highlight class="stringliteral">"0.0<sp/>0.0<sp/>0.0<sp/>0.0"</highlight><highlight class="normal">;</highlight></codeline> |
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180 | <codeline lineno="50"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>vec<sp/>Qdiag<sp/>(<sp/></highlight><highlight class="stringliteral">"0.01<sp/>0.01<sp/>0.00001<sp/>0.00001"</highlight><highlight class="normal"><sp/>);<sp/></highlight><highlight class="comment">//zdenek:<sp/>0.01<sp/>0.01<sp/>0.0001<sp/>0.0001</highlight><highlight class="normal"></highlight></codeline> |
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181 | <codeline lineno="51"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>vec<sp/>Rdiag<sp/>(<sp/></highlight><highlight class="stringliteral">"0.0005<sp/>0.0005"</highlight><highlight class="normal"><sp/>);<sp/></highlight><highlight class="comment">//var(diff(xth))<sp/>=<sp/>"0.034<sp/>0.034"</highlight><highlight class="normal"></highlight></codeline> |
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182 | <codeline lineno="52"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><ref refid="classchmat" kindref="compound" tooltip="Symmetric matrix stored in square root decomposition using upper cholesky.">chmat</ref><sp/>Q<sp/>(<sp/>Qdiag<sp/>);</highlight></codeline> |
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183 | <codeline lineno="53"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><ref refid="classchmat" kindref="compound" tooltip="Symmetric matrix stored in square root decomposition using upper cholesky.">chmat</ref><sp/>R<sp/>(<sp/>Rdiag<sp/>);</highlight></codeline> |
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184 | <codeline lineno="54"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><ref refid="classEKFCh" kindref="compound" tooltip="Extended Kalman Filter in Square root.">EKFCh</ref><sp/>KFE<sp/>(<sp/>rx,ry,ru<sp/>);</highlight></codeline> |
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185 | <codeline lineno="55"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>KFE.set_parameters<sp/>(<sp/>&fxu,&hxu,Q,R<sp/>);</highlight></codeline> |
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186 | <codeline lineno="56"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>KFE.set_est<sp/>(<sp/>mu0,<sp/><ref refid="classchmat" kindref="compound" tooltip="Symmetric matrix stored in square root decomposition using upper cholesky.">chmat</ref><sp/>(<sp/>1*ones<sp/>(<sp/>4<sp/>)<sp/>)<sp/>);</highlight></codeline> |
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187 | <codeline lineno="57"><highlight class="normal"></highlight></codeline> |
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188 | <codeline lineno="58"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><ref refid="classRV" kindref="compound" tooltip="Class representing variables, most often random variables.">RV</ref><sp/>rQ<sp/>(<sp/></highlight><highlight class="stringliteral">"{Q<sp/>}"</highlight><highlight class="normal">,</highlight><highlight class="stringliteral">"2"</highlight><highlight class="normal"><sp/>);</highlight></codeline> |
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189 | <codeline lineno="59"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><ref refid="classEKF__unQ" kindref="compound" tooltip="Extended Kalman filter with unknown Q.">EKF_unQ</ref><sp/>KFEp<sp/>(<sp/>rx,ry,ru,rQ<sp/>);</highlight></codeline> |
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190 | <codeline lineno="60"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>KFEp.set_parameters<sp/>(<sp/>&fxu,&hxu,Q,R<sp/>);</highlight></codeline> |
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191 | <codeline lineno="61"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>KFEp.set_est<sp/>(<sp/>mu0,<sp/><ref refid="classchmat" kindref="compound" tooltip="Symmetric matrix stored in square root decomposition using upper cholesky.">chmat</ref><sp/>(<sp/>1*ones<sp/>(<sp/>4<sp/>)<sp/>)<sp/>);</highlight></codeline> |
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192 | <codeline lineno="62"><highlight class="normal"></highlight></codeline> |
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193 | <codeline lineno="63"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><ref refid="classmgamma" kindref="compound" tooltip="Gamma random walk.">mgamma</ref><sp/>evolQ<sp/>(<sp/>rQ,rQ<sp/>);</highlight></codeline> |
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194 | <codeline lineno="64"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><ref refid="classMPF" kindref="compound" tooltip="Marginalized Particle filter.">MPF<EKF_unQ></ref><sp/>M<sp/>(<sp/>rx,rQ,evolQ,evolQ,Npart,KFEp<sp/>);</highlight></codeline> |
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195 | <codeline lineno="65"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/></highlight><highlight class="comment">//<sp/>initialize</highlight><highlight class="normal"></highlight></codeline> |
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196 | <codeline lineno="66"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>evolQ.set_parameters<sp/>(<sp/>100.0<sp/>);<sp/></highlight><highlight class="comment">//sigma<sp/>=<sp/>1/10<sp/>mu</highlight><highlight class="normal"></highlight></codeline> |
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197 | <codeline lineno="67"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>evolQ.condition<sp/>(<sp/></highlight><highlight class="stringliteral">"0.01<sp/>0.01"</highlight><highlight class="normal"><sp/>);<sp/></highlight><highlight class="comment">//Zdenek<sp/>default</highlight><highlight class="normal"></highlight></codeline> |
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198 | <codeline lineno="68"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><ref refid="classepdf" kindref="compound" tooltip="Probability density function with numerical statistics, e.g. posterior density.">epdf</ref>&<sp/>pfinit=evolQ._epdf();</highlight></codeline> |
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199 | <codeline lineno="69"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>M.set_est<sp/>(<sp/>pfinit<sp/>);</highlight></codeline> |
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200 | <codeline lineno="70"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>evolQ.set_parameters<sp/>(<sp/>1000.0<sp/>);</highlight></codeline> |
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201 | <codeline lineno="71"><highlight class="normal"></highlight></codeline> |
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202 | <codeline lineno="72"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/></highlight><highlight class="comment">//</highlight><highlight class="normal"></highlight></codeline> |
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203 | <codeline lineno="73"><highlight class="normal"></highlight></codeline> |
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204 | <codeline lineno="74"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><ref refid="classepdf" kindref="compound" tooltip="Probability density function with numerical statistics, e.g. posterior density.">epdf</ref>&<sp/>KFEep<sp/>=<sp/>KFE._epdf();</highlight></codeline> |
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205 | <codeline lineno="75"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><ref refid="classepdf" kindref="compound" tooltip="Probability density function with numerical statistics, e.g. posterior density.">epdf</ref>&<sp/>Mep<sp/>=<sp/>M._epdf();</highlight></codeline> |
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206 | <codeline lineno="76"><highlight class="normal"></highlight></codeline> |
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207 | <codeline lineno="77"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>mat<sp/>Xt=zeros<sp/>(<sp/>Ndat<sp/>,9<sp/>);<sp/></highlight><highlight class="comment">//true<sp/>state<sp/>from<sp/>simulator</highlight><highlight class="normal"></highlight></codeline> |
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208 | <codeline lineno="78"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>mat<sp/>Dt=zeros<sp/>(<sp/>Ndat,4+2<sp/>);<sp/></highlight><highlight class="comment">//observation</highlight><highlight class="normal"></highlight></codeline> |
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209 | <codeline lineno="79"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>mat<sp/>XtE=zeros<sp/>(<sp/>Ndat,<sp/>4<sp/>);</highlight></codeline> |
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210 | <codeline lineno="80"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>mat<sp/>XtM=zeros<sp/>(<sp/>Ndat,6<sp/>);<sp/></highlight><highlight class="comment">//Q<sp/>+<sp/>x</highlight><highlight class="normal"></highlight></codeline> |
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211 | <codeline lineno="81"><highlight class="normal"></highlight></codeline> |
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212 | <codeline lineno="82"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/></highlight><highlight class="comment">//<sp/>SET<sp/>SIMULATOR</highlight><highlight class="normal"></highlight></codeline> |
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213 | <codeline lineno="83"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>pmsmsim_set_parameters<sp/>(<sp/>0.28,0.003465,0.1989,0.0,4,1.5,0.04,<sp/>200.,<sp/>3e-6,<sp/>h<sp/>);</highlight></codeline> |
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214 | <codeline lineno="84"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/></highlight><highlight class="keywordtype">double</highlight><highlight class="normal"><sp/>Ww=0.0;</highlight></codeline> |
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215 | <codeline lineno="85"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/></highlight><highlight class="keyword">static</highlight><highlight class="normal"><sp/></highlight><highlight class="keywordtype">int</highlight><highlight class="normal"><sp/>k_rampa=1;</highlight></codeline> |
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216 | <codeline lineno="86"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/></highlight><highlight class="keyword">static</highlight><highlight class="normal"><sp/></highlight><highlight class="keywordtype">long</highlight><highlight class="normal"><sp/>k_rampa_tmp=0;</highlight></codeline> |
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217 | <codeline lineno="87"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>vec<sp/>dt<sp/>(<sp/>2<sp/>);</highlight></codeline> |
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218 | <codeline lineno="88"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>vec<sp/>ut<sp/>(<sp/>2<sp/>);</highlight></codeline> |
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219 | <codeline lineno="89"><highlight class="normal"></highlight></codeline> |
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220 | <codeline lineno="90"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/></highlight><highlight class="keywordflow">for</highlight><highlight class="normal"><sp/>(<sp/></highlight><highlight class="keywordtype">int</highlight><highlight class="normal"><sp/>tK=1;tK<Ndat;tK++<sp/>)<sp/>{</highlight></codeline> |
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221 | <codeline lineno="91"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/></highlight><highlight class="comment">//Number<sp/>of<sp/>steps<sp/>of<sp/>a<sp/>simulator<sp/>for<sp/>one<sp/>step<sp/>of<sp/>Kalman</highlight><highlight class="normal"></highlight></codeline> |
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222 | <codeline lineno="92"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/></highlight><highlight class="keywordflow">for</highlight><highlight class="normal"><sp/>(<sp/></highlight><highlight class="keywordtype">int</highlight><highlight class="normal"><sp/>ii=0;<sp/>ii<Nsimstep;ii++<sp/>)<sp/>{</highlight></codeline> |
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223 | <codeline lineno="93"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/></highlight><highlight class="comment">//simulator</highlight><highlight class="normal"></highlight></codeline> |
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224 | <codeline lineno="94"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>Ww+=k_rampa*2.*M_PI*2e-4;<sp/><sp/><sp/><sp/></highlight><highlight class="comment">//1000Hz/s</highlight><highlight class="normal"></highlight></codeline> |
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225 | <codeline lineno="95"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/></highlight><highlight class="keywordflow">if</highlight><highlight class="normal"><sp/>(<sp/>Ww>2.*M_PI*150.<sp/>)<sp/>{</highlight></codeline> |
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226 | <codeline lineno="96"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>Ww=2.*M_PI*150.;</highlight></codeline> |
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227 | <codeline lineno="97"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/></highlight><highlight class="keywordflow">if</highlight><highlight class="normal"><sp/>(<sp/>k_rampa_tmp<500000<sp/>)<sp/>k_rampa_tmp++;</highlight></codeline> |
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228 | <codeline lineno="98"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/></highlight><highlight class="keywordflow">else</highlight><highlight class="normal"><sp/>{k_rampa=-1;k_rampa_tmp=0;}</highlight></codeline> |
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229 | <codeline lineno="99"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>};</highlight></codeline> |
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230 | <codeline lineno="100"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/></highlight><highlight class="keywordflow">if</highlight><highlight class="normal"><sp/>(<sp/>Ww<-2.*M_PI*150.<sp/>)<sp/>Ww=-2.*M_PI*150.;<sp/></highlight><highlight class="comment">/*<sp/>*/</highlight><highlight class="normal"></highlight></codeline> |
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231 | <codeline lineno="101"><highlight class="normal"></highlight></codeline> |
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232 | <codeline lineno="102"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>pmsmsim_step<sp/>(<sp/>Ww<sp/>);</highlight></codeline> |
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233 | <codeline lineno="103"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>};</highlight></codeline> |
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234 | <codeline lineno="104"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/></highlight><highlight class="comment">//<sp/>collect<sp/>data</highlight><highlight class="normal"></highlight></codeline> |
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235 | <codeline lineno="105"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>ut<sp/>(<sp/>0<sp/>)<sp/>=<sp/>KalmanObs[0];</highlight></codeline> |
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236 | <codeline lineno="106"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>ut<sp/>(<sp/>1<sp/>)<sp/>=<sp/>KalmanObs[1];</highlight></codeline> |
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237 | <codeline lineno="107"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>dt<sp/>(<sp/>0<sp/>)<sp/>=<sp/>KalmanObs[2];</highlight></codeline> |
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238 | <codeline lineno="108"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>dt<sp/>(<sp/>1<sp/>)<sp/>=<sp/>KalmanObs[3];</highlight></codeline> |
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239 | <codeline lineno="109"><highlight class="normal"></highlight></codeline> |
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240 | <codeline lineno="110"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/></highlight><highlight class="comment">//estimator</highlight><highlight class="normal"></highlight></codeline> |
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241 | <codeline lineno="111"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>KFE.bayes<sp/>(<sp/>concat<sp/>(<sp/>dt,ut<sp/>)<sp/>);</highlight></codeline> |
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242 | <codeline lineno="112"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>M.bayes<sp/>(<sp/>concat<sp/>(<sp/>dt,ut<sp/>)<sp/>);</highlight></codeline> |
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243 | <codeline lineno="113"><highlight class="normal"></highlight></codeline> |
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244 | <codeline lineno="114"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>Xt.set_row<sp/>(<sp/>tK,vec<sp/>(<sp/>x,9<sp/>)<sp/>);<sp/></highlight><highlight class="comment">//vec<sp/>from<sp/>C-array</highlight><highlight class="normal"></highlight></codeline> |
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245 | <codeline lineno="115"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>Dt.set_row<sp/>(<sp/>tK,<sp/>concat<sp/>(<sp/>dt,ut,vec_1(sqrt(pow(ut(0),2)+pow(ut(1),2))),<sp/>vec_1(sqrt(pow(dt(0),2)+pow(dt(1),2)))<sp/>)<sp/>);</highlight></codeline> |
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246 | <codeline lineno="116"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>XtE.set_row<sp/>(<sp/>tK,KFEep.<ref refid="classepdf_1bf0a070a8f3e67a93604ca724638b870" kindref="member" tooltip="return expected value">mean</ref>()<sp/>);</highlight></codeline> |
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247 | <codeline lineno="117"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>XtM.set_row<sp/>(<sp/>tK,Mep.<ref refid="classepdf_1bf0a070a8f3e67a93604ca724638b870" kindref="member" tooltip="return expected value">mean</ref>()<sp/>);</highlight></codeline> |
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248 | <codeline lineno="118"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>}</highlight></codeline> |
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249 | <codeline lineno="119"><highlight class="normal"></highlight></codeline> |
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250 | <codeline lineno="120"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>it_file<sp/>fou<sp/>(<sp/></highlight><highlight class="stringliteral">"pmsm_sim.it"</highlight><highlight class="normal"><sp/>);</highlight></codeline> |
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251 | <codeline lineno="121"><highlight class="normal"></highlight></codeline> |
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252 | <codeline lineno="122"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>fou<sp/><<<sp/>Name<sp/>(<sp/></highlight><highlight class="stringliteral">"xth"</highlight><highlight class="normal"><sp/>)<sp/><<<sp/>Xt;</highlight></codeline> |
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253 | <codeline lineno="123"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>fou<sp/><<<sp/>Name<sp/>(<sp/></highlight><highlight class="stringliteral">"Dt"</highlight><highlight class="normal"><sp/>)<sp/><<<sp/>Dt;</highlight></codeline> |
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254 | <codeline lineno="124"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>fou<sp/><<<sp/>Name<sp/>(<sp/></highlight><highlight class="stringliteral">"xthE"</highlight><highlight class="normal"><sp/>)<sp/><<<sp/>XtE;</highlight></codeline> |
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255 | <codeline lineno="125"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/>fou<sp/><<<sp/>Name<sp/>(<sp/></highlight><highlight class="stringliteral">"xthM"</highlight><highlight class="normal"><sp/>)<sp/><<<sp/>XtM;</highlight></codeline> |
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256 | <codeline lineno="126"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/></highlight><highlight class="comment">//Exit<sp/>program:</highlight><highlight class="normal"></highlight></codeline> |
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257 | <codeline lineno="127"><highlight class="normal"></highlight></codeline> |
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258 | <codeline lineno="128"><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/><sp/><sp/></highlight><highlight class="keywordflow">return</highlight><highlight class="normal"><sp/>0;</highlight></codeline> |
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259 | <codeline lineno="129"><highlight class="normal">}</highlight></codeline> |
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260 | <codeline lineno="130"><highlight class="normal"></highlight></codeline> |
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261 | </programlisting> |
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262 | <location file="/home/smidl/work/git/mixpp/pmsm/pmsm_sim.cpp"/> |
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263 | </compounddef> |
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264 | </doxygen> |
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