13#include <yarp/math/Math.h> 
   14#include <yarp/math/SVD.h> 
   18using namespace yarp::sig;
 
   19using namespace yarp::math;
 
   34    P.resize(
n,
n); 
P.zero();
 
   35    K.resize(
n,
m); 
K.zero();
 
   36    S.resize(
m,
m); 
S.zero();
 
 
   42Kalman::Kalman(
const Matrix &_A, 
const Matrix &_H, 
const Matrix &_Q,
 
   43               const Matrix &_R) : 
A(_A), 
H(_H), Q(_Q), R(_R)
 
   46    B.resize(
n,
n); 
B.zero();
 
   51Kalman::Kalman(
const Matrix &_A, 
const Matrix &_B, 
const Matrix &_H,
 
   52               const Matrix &_Q, 
const Matrix &_R) : 
A(_A), B(_B), 
H(_H), Q(_Q), R(_R)
 
   61    if ((_x0.length()==
x.length()) && (_P0.rows()==
P.rows()) && (_P0.cols()==
P.cols()))
 
 
  115    return filt(Vector(
n,0.0),
z);
 
  129    if ((_A.cols()==
A.cols()) && (_A.rows()==
A.rows()))
 
 
  143    if ((_B.cols()==
B.cols()) && (_B.rows()==
B.rows()))
 
 
  156    if ((_H.cols()==
H.cols()) && (_H.rows()==
H.rows()))
 
 
  170    if ((_Q.cols()==
Q.cols()) && (_Q.rows()==
Q.rows()))
 
 
  183    if ((_R.cols()==
R.cols()) && (_R.rows()==
R.rows()))
 
 
bool set_Q(const yarp::sig::Matrix &_Q)
Returns the process noise covariance matrix.
 
bool set_R(const yarp::sig::Matrix &_R)
Returns the measurement noise covariance matrix.
 
bool init(const yarp::sig::Vector &_x0, const yarp::sig::Matrix &_P0)
Set initial state and error covariance.
 
bool set_A(const yarp::sig::Matrix &_A)
Returns the state transition matrix.
 
yarp::sig::Vector get_y() const
Returns the estimated output.
 
bool set_B(const yarp::sig::Matrix &_B)
Returns the input matrix.
 
const yarp::sig::Vector & predict()
Predicts the next state vector.
 
const yarp::sig::Vector & correct(const yarp::sig::Vector &z)
Corrects the current estimation of the state vector given the current measurement.
 
const yarp::sig::Vector & filt(const yarp::sig::Vector &u, const yarp::sig::Vector &z)
Returns the estimated state vector given the current input and the current measurement by performing ...
 
bool set_H(const yarp::sig::Matrix &_H)
Returns the measurement transition matrix.