User`s guide
Table Of Contents
- Preface
- Quick Start
- LTI Models
- Introduction
- Creating LTI Models
- LTI Properties
- Model Conversion
- Time Delays
- Simulink Block for LTI Systems
- References
- Operations on LTI Models
- Arrays of LTI Models
- Model Analysis Tools
- The LTI Viewer
- Introduction
- Getting Started Using the LTI Viewer: An Example
- The LTI Viewer Menus
- The Right-Click Menus
- The LTI Viewer Tools Menu
- Simulink LTI Viewer
- Control Design Tools
- The Root Locus Design GUI
- Introduction
- A Servomechanism Example
- Controller Design Using the Root Locus Design GUI
- Additional Root Locus Design GUI Features
- References
- Design Case Studies
- Reliable Computations
- Reference
- Category Tables
- acker
- append
- augstate
- balreal
- bode
- c2d
- canon
- care
- chgunits
- connect
- covar
- ctrb
- ctrbf
- d2c
- d2d
- damp
- dare
- dcgain
- delay2z
- dlqr
- dlyap
- drmodel, drss
- dsort
- dss
- dssdata
- esort
- estim
- evalfr
- feedback
- filt
- frd
- frdata
- freqresp
- gensig
- get
- gram
- hasdelay
- impulse
- initial
- inv
- isct, isdt
- isempty
- isproper
- issiso
- kalman
- kalmd
- lft
- lqgreg
- lqr
- lqrd
- lqry
- lsim
- ltiview
- lyap
- margin
- minreal
- modred
- ndims
- ngrid
- nichols
- norm
- nyquist
- obsv
- obsvf
- ord2
- pade
- parallel
- place
- pole
- pzmap
- reg
- reshape
- rlocfind
- rlocus
- rltool
- rmodel, rss
- series
- set
- sgrid
- sigma
- size
- sminreal
- ss
- ss2ss
- ssbal
- ssdata
- stack
- step
- tf
- tfdata
- totaldelay
- zero
- zgrid
- zpk
- zpkdata
- Index

3 Operations on LTI Models
3-14
The resulting inverse model is of the same type as sys. Related operations
include:
• Left division
sys1\sys2, which is equivalent to inv(sys1)*sys2
• Right division sys1/sys2, which is equivalent to sys1*inv(sys2)
For a state-space model sys with data , inv(sys) is defined only
when is a square invertible matrix, in which case its state-space data is
Transposition
You can transpose an LTI model sys using
sys.'
This is a literal operation with the following effect:
• For TF models (with input arguments,
num and den), the cell arrays num and
den are transposed.
• For ZPK models (with input arguments,
z, p,andk), the cell arrays, z and p,
and the matrix
k are t ransposed.
• For S S models (with model data ), transposition produces the
state-space model A
T
, C
T
,B
T
,D
T
.
•For FRD models (with complex frequency response matrix
Response), the
matrix of frequency response data at each frequency is transposed.
Pertransposition
For a continuous-time system with transfer function , the pertransposed
system has the transfer function
The discrete-time counterpart is
Pertransposition of an LTI model
sys is performed using
sys'
ABCD
,,,
D
ABD
1
–
C,– BD
1
–
, D–
1
–
C , D
1
–
ABCD
,,,
Hs
()
Gs() Hs–()[]
T
=
Gz() Hz
1
–
()[]
T
=