Specifications
Table Of Contents
- Introduction
- LTI Models
- Operations on LTI Models
- Model Analysis Tools
- Arrays of LTI Models
- Customization
- Setting Toolbox Preferences
- Setting Tool Preferences
- Customizing Response Plot Properties
- Design Case Studies
- Reliable Computations
- GUI Reference
- SISO Design Tool Reference
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- Root Locus Right-Click Menus
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- Function Reference
- Functions by Category
- acker
- allmargin
- append
- augstate
- balreal
- bode
- bodemag
- c2d
- canon
- care
- chgunits
- connect
- covar
- ctrb
- ctrbf
- d2c
- d2d
- damp
- dare
- dcgain
- delay2z
- dlqr
- dlyap
- drss
- dsort
- dss
- dssdata
- esort
- estim
- evalfr
- feedback
- filt
- frd
- frdata
- freqresp
- gensig
- get
- gram
- hasdelay
- impulse
- initial
- interp
- inv
- isct, isdt
- isempty
- isproper
- issiso
- kalman
- kalmd
- lft
- lqgreg
- lqr
- lqrd
- lqry
- lsim
- ltimodels
- ltiprops
- ltiview
- lyap
- margin
- minreal
- modred
- ndims
- ngrid
- nichols
- norm
- nyquist
- obsv
- obsvf
- ord2
- pade
- parallel
- place
- pole
- pzmap
- reg
- reshape
- rlocus
- rss
- series
- set
- sgrid
- sigma
- sisotool
- size
- sminreal
- ss
- ss2ss
- ssbal
- ssdata
- stack
- step
- tf
- tfdata
- totaldelay
- zero
- zgrid
- zpk
- zpkdata
- Index

minreal
16-140
16minreal
Purpose Minimal realization or pole-zero cancellation
Syntax sysr = minreal(sys)
sysr = minreal(sys,tol)
[sysr,u] = minreal(sys,tol)
Description 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 thetolerance usedforstateelimination 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)
Example 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)
and MATLAB returns
Zero/pole/gain:
s
-------------
(s^2 + s + 1)
s 1=