O'Reilly refining a book on a 2D linear system

Oreilly's book, Learning OpenCV, states on page 356:

Quote

Before we get completely lost, consider a specific realistic measurement situation on a car driving in a parking lot. We can imagine that the state of the car can be summed up by two position variables x and y and two speeds vx and vy. These four variables would be the elements of the state vector xk. Th assumes that the correct form for F is:

x = [ x; 
      y;
      vx;
      vy; ]k

F = [ 1, 0, dt, 0;  
      0, 1, 0,  dt;
      0, 0, 1,  0;
      0, 0, 0,  1; ]

      

It seems natural to only put 'dt' in matrix F, but I just don't understand why. What if I have an n state system, how would I spray some "dt" in the matrix F?

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dt

- speed ratios with corresponding provisions. If you write your state update after the time has expired dt

:

x(t+dt) = x(t) + dt * vx(t)
y(t+dt) = y(t) + dt * vy(t)
vx(t+dt) = vx(t)
vy(t+dt) = vy(t)

      



You can easily read F

from these equations.

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