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

lqgreg
11-117
11lqgreg
Purpose Form LQG regulator given state-feedback gain and Kalman estimator
Syntax rlqg = lqgreg(kest,k)
rlqg = lqgreg(kest,k,'current') % discrete-time only
rlqg = lqgreg(kest,k,controls)
Description lqgreg formstheLQG regulatorbyconnecting theKalman estimatordesigned
with
kalman and the optimal state-feedback gain designed with lqr, dlqr,or
lqry. The LQG regulator minimizes some quadratic cost function that trades
off regulation performance and control effort. This regulator is dynamic and
reliesonnoisyoutputmeasurementstogeneratetheregulatingcommands(see
“LQG Regulator” on page 7-10 for details).
In continuous time, the LQG regulator generates t he commands
where is the Kalman state estimate. The regulator state-space equations are
where is the vector of plant output measurements (see
kalman for
background and notation). The diagram belowshows this dynamic regulator in
relation to the plant.
uKx
ˆ
–=
x
ˆ
x
ˆ
·
ALC– BLD–()K–
x
ˆ
Ly
v
+=
uKx
ˆ
–=
y
v