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In systems and control theory, the double integrator is a canonical example of a second-order control system. It models the dynamics of a simple mass in one-dimensional space under the effect of a time-varying force input \textbf.


Differential equations

The differential equations which represent a double integrator are: :\ddot = u(t) :y = q(t) where both q(t), u(t) \in \mathbb Let us now represent this in state space form with the vector \textbf = \begin q\\ \dot\\ \end : \dot(t)= \frac = \begin \dot\\ \ddot\\ \end In this representation, it is clear that the control input \textbf is the second derivative of the output \textbf. In the scalar form, the control input is the second derivative of the output q.


State space representation

The normalized state space model of a double integrator takes the form :\dot(t) = \begin 0& 1\\ 0& 0\\ \end\textbf(t) + \begin 0\\ 1\end\textbf(t) : \textbf(t) = \begin 1& 0\end\textbf(t). According to this model, the input \textbf is the second derivative of the output \textbf, hence the name double integrator.


Transfer function representation

Taking the
Laplace transform In mathematics, the Laplace transform, named after its discoverer Pierre-Simon Laplace (), is an integral transform that converts a function of a real variable (usually t, in the ''time domain'') to a function of a complex variable s (in the ...
of the state space input-output equation, we see that the
transfer function In engineering, a transfer function (also known as system function or network function) of a system, sub-system, or component is a mathematical function that theoretically models the system's output for each possible input. They are widely used ...
of the double integrator is given by :\frac = \frac. Using the differential equations dependent on q(t), y(t), u(t) and \textbf, and the state space representation:


References

{{Reflist Control theory