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Feedback connection of two LTI models
sys = feedback(sys1,sys2)
sys = feedback(sys1,sys2) returns an LTI model sys for the negative feedback interconnection.

The closed-loop model sys has
as input vector and
as output vector.
The LTI models sys1 and sys2 must be both continuous or both discrete with identical sample times.
Precedence rules are used to determine the resulting model type (see Precedence Rules).
To apply positive feedback, use the syntax
sys = feedback(sys1,sys2,+1)
By default, feedback(sys1,sys2) assumes negative feedback and is equivalent to feedback(sys1,sys2,-1).
Finally,
sys = feedback(sys1,sys2,feedin,feedout)
computes a closed-loop model sys for the more general feedback loop.

The vector feedin contains indices into the
input vector of sys1 and specifies which inputs
are involved in the feedback loop.
Similarly, feedout specifies which outputs
of sys1 are used for feedback. The resulting
LTI model sys has the same inputs and outputs as sys1 (with their order preserved). As before, negative
feedback is applied by default and you must use
sys = feedback(sys1,sys2,feedin,feedout,+1)
to apply positive feedback.
For more complicated feedback structures, use append and connect.
You can specify static gains as regular matrices, for example,
sys = feedback(sys1,2)
However, at least one of the two arguments sys1 and sys2 should be an LTI object. For feedback loops involving two static gains k1 and k2, use the syntax
sys = feedback(tf(k1),k2)

To connect the plant
![]()
with the controller
![]()
using negative feedback, type
G = tf([2 5 1],[1 2 3],'inputname','torque',...
'outputname','velocity');
H = zpk(-2,-10,5)
Cloop = feedback(G,H)
These commands produce the following result.
Zero/pole/gain from input "torque" to output "velocity": 0.18182 (s+10) (s+2.281) (s+0.2192) ----------------------------------- (s+3.419) (s^2 + 1.763s + 1.064)
The result is a zero-pole-gain model as expected from the precedence rules. Note that Cloop inherited the input and output names from G.
Consider a state-space plant P with five inputs and four outputs and a state-space feedback controller K with three inputs and two outputs. To connect outputs 1, 3, and 4 of the plant to the controller inputs, and the controller outputs to inputs 4 and 2 of the plant, use
feedin = [4 2]; feedout = [1 3 4]; Cloop = feedback(P,K,feedin,feedout)
You can form the following negative-feedback loops

by
Cloop = feedback(G,1) % left diagram Cloop = feedback(1,G) % right diagram
The feedback connection should be free of algebraic loop. If
and
are the feedthrough
matrices of sys1 and sys2, this
condition is equivalent to:
nonsingular when using negative
feedback
nonsingular when using positive
feedback.
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