Changeset 145 for pmsm

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Timestamp:
08/20/08 15:41:21 (16 years ago)
Author:
smidl
Message:

Oprava dokumentace

Location:
pmsm
Files:
3 modified

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  • pmsm/pmsm.h

    r128 r145  
    1313// }; 
    1414 
    15 //! State evolution model for a PMSM drive and its derivative with respect to \$x\$ 
     15//! State evolution model for a PMSM drive and its derivative with respect to \f$x\f$$ 
    1616class IMpmsm : public diffbifn { 
    1717protected: 
    … …  
    7070}; 
    7171 
     72//! State evolution model for a PMSM drive and its derivative with respect to \f$x\f$, equation for \f$\omega\f$ is omitted.$ 
    7273class IMpmsmStat : public IMpmsm { 
    7374        IMpmsmStat() :IMpmsm() {}; 
    … …  
    120121}; 
    121122 
    122 //! Observation model for PMSM drive and its derivative with respect to \$x\$ 
     123//! Observation model for PMSM drive and its derivative with respect to \f$x\f$ 
    123124class OMpmsm: public diffbifn { 
    124125public: 

  • pmsm/pmsm_mix.cpp

    r131 r145  
    7979//      cout << Eevol.sample() <<endl; 
    8080 
    81         mepdf evolQR(rQR,rQR,&Eevol); 
     81        mepdf evolQR(Eevol); 
    8282        MPF<EKFful_unQR> M ( rx,rQR, evolQR, evolQR, Npar, EKU ); 
    8383        M.set_est ( evolQR._epdf() ); 

  • pmsm/simulator_zdenek/ekf_example/ekf_obj.h

    r61 r145  
    2626 
    2727/*! 
    28 \brief Extended Kalman Filter in full matrices 
     28\brief Extended Kalman Filter with full matrices in fixed point arithmetic 
    2929 
    3030An approximation of the exact Bayesian filter with Gaussian noices and non-linear evolutions of their mean.