The differential equations which represent a double integrator are:
where both q ( t ) , u ( t ) ∈ R {\displaystyle q(t),u(t)\in \mathbb {R} } Let us now represent this in state space form with the vector x(t) = [ q q ˙ ] {\displaystyle {\textbf {x(t)}}={\begin{bmatrix}q\\{\dot {q}}\\\end{bmatrix}}}
In this representation, it is clear that the control input u {\displaystyle {\textbf {u}}} is the second derivative of the output x {\displaystyle {\textbf {x}}} . In the scalar form, the control input is the second derivative of the output q {\displaystyle q} .
The normalized state space model of a double integrator takes the form
According to this model, the input u {\displaystyle {\textbf {u}}} is the second derivative of the output y {\displaystyle {\textbf {y}}} , hence the name double integrator.
Taking the Laplace transform of the state space input-output equation, we see that the transfer function of the double integrator is given by
Using the differential equations dependent on q ( t ) , y ( t ) , u ( t ) {\displaystyle q(t),y(t),u(t)} and x(t) {\displaystyle {\textbf {x(t)}}} , and the state space representation:
Venkatesh G. Rao and Dennis S. Bernstein (2001). "Naive control of the double integrator" (PDF). IEEE Control Systems Magazine. Retrieved 2012-03-04. http://www-personal.umich.edu/~dsbaero/others/25-DoubleIntegrator.pdf ↩