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

ss
11-211
11ss
Purpose Specify state-space models or convert an LTI model to state space
Syntax sys = ss(a,b,c,d)
sys = ss(a,b,c,d,Ts)
sys = ss(d)
sys = ss(a,b,c,d,ltisys)
sys = ss(a,b,c,d,'Property1',Value1,...,'PropertyN',ValueN)
sys = ss(a,b,c,d,Ts,'Property1',Value1,...,'PropertyN',ValueN)
sys_ss = ss(sys)
sys_ss = ss(sys,'minimal')
Description ss is used to create real-valued state-space models (SS objects) or to convert
transfer function or zero-pole-gain models to state space.
Creation of State-Space Models
sys = ss(a,b,c,d) creates the continuous-time state-space model
For a model with
Nx states, Ny outputs, and Nu inputs:
•
a is an Nx-by-Nx real-value d matrix.
•
b is an Nx-by-Nu real-v alued matrix.
•
c is an Ny-by-Nx real-v alued matrix.
•
d is an Ny-by-Nu real-v alued matrix.
The output
sys is an SS model that s tores the model data (see “State-Space
Models” on page 2-14). If , you can simply set
d to the scalar 0 (zero),
regardless of the dimension.
sys = ss(a,b,c,d,Ts) creates the discrete-time model
x
·
Ax Bu+=
yCxDu+=
D0
=
xn 1
+[]
Ax n
[]
Bu n
[]+=
yn[] Cx n[] Du n[]+=