Kalman filter for modeling linear dynamical systems
A model for a linear systems
User function which calculates the Moore-Penrose pseudo inverse of a
0D MatrixField
on the CPU
A simple 2D motion model in which the state is: x = {rowPos, colPos, rowVel, colVel} The state evolves as pos_(t+1) = pos_t + dt * vel_t The position is directly measured by a single sensor