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sysr = minreal(sys)
sysr = minreal(sys,tol)
[sysr,u] = minreal(sys,tol)
sysr = minreal(sys) eliminates uncontrollable or unobservable state in state-space models, or cancels pole-zero pairs in transfer functions or zero-pole-gain models. The output sysr has minimal order and the same response characteristics as the original model sys.
sysr = minreal(sys,tol) specifies the tolerance used for state elimination or pole-zero cancellation. The default value is tol = sqrt(eps) and increasing this tolerance forces additional cancellations.
[sysr,u] = minreal(sys,tol) returns, for state-space model sys, an orthogonal matrix U such that (U*A*U',U*B,C*U') is a Kalman decomposition of (A,B,C)
The commands
g = zpk([],1,1) h = tf([2 1],[1 0]) cloop = inv(1+g*h) * g
produce the nonminimal zero-pole-gain model by typing cloop.
Zero/pole/gain:
s (s-1)
-------------------
(s-1) (s^2 + s + 1)
To cancel the pole-zero pair at
, type
cloop = minreal(cloop)
This command produces the following result.
Zero/pole/gain:
s
-------------
(s^2 + s + 1)
Pole-zero cancellation is a straightforward search through the poles and zeros looking for matches that are within tolerance. Transfer functions are first converted to zero-pole-gain form.
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