# Closed-loop transfer function

A closed-loop transfer function in control theory is a mathematical expression (algorithm) describing the net result of the effects of a closed (feedback) loop on the input signal to the plant under control.

## Overview

The closed-loop transfer function is measured at the output. The output signal can be calculated from the closed-loop transfer function and the input signal. Signals may be waveforms, images, or other types of data streams.

An example of a closed-loop transfer function is shown below:

The summing node and the G(s) and H(s) blocks can all be combined into one block, which would have the following transfer function:

${\dfrac {Y(s)}{X(s)}}={\dfrac {G(s)}{1+G(s)H(s)}}$ $G(s)$ is called feedforward transfer function, $H(s)$ is called feedback transfer function, and their product $G(s)H(s)$ is called the Open loop transfer function.

## Derivation

We define an intermediate signal Z (also known as error signal) shown as follows:

Using this figure we write:

$Y(s)=G(s)Z(s)$ $Z(s)=X(s)-H(s)Y(s)$ Now, plug the second equation into the first to eliminate Z(s):

$Y(s)=G(s)[X(s)-H(s)Y(s)]$ Move all the terms with Y(s) to the left hand side, and keep the term with X(s) on the right hand side:

$Y(s)+G(s)H(s)Y(s)=G(s)X(s)$ Therefore,

$Y(s)(1+G(s)H(s))=G(s)X(s)$ $\Rightarrow {\dfrac {Y(s)}{X(s)}}={\dfrac {G(s)}{1+G(s)H(s)}}$ 