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

estim
11-70
11estim
Purpose Form state estimator given estimator gain
Syntax est = estim(sys,L)
est = estim(sys,L,sensors,known)
Description est = estim(sys,L) produces a state/output estimator est given the plant
state-space model
sys and the estimator gain L. All inputs of sys are
assumed stochastic (process and/or measurement noise), and all outputs are
measured. The estimator
est is returned in state- sp ace form (SS obj ect ). For a
continuous-time plant
sys with equations
estim gene rates plant output and st at e es timate s and as given by the
followi ng m ode l.
The discre te-t ime e stimato r has similar equat ions.
est = estim(sys,L,sensors,known) handles more general plants sys with
both known i nputs a nd stochastic inputs , and both measured outputs
and nonmeasured outputs .
The index vectors
sensors and known specify which outputs are measured
and which i nput s are know n. T he res ulting estimator
est uses both and
to pro duc e th e output a nd state estim at es .
w
y
x
·
Ax Bw+=
yCxDw+=
y
ˆ
x
ˆ
x
ˆ
·
Ax
ˆ
Ly Cx
ˆ
–()+=
y
ˆ
x
ˆ
C
I
x
ˆ
=
u
w
y
z
x
·
Ax B
1
wB
2
u++=
z
y
C
1
C
2
x
D
11
D
21
w
D
12
D
22
u++=
y
u
u
y