PresentationIsabelleLaureyns

Presentationisabellelaureyns

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Unformatted text preview: By
Isabelle
Andrea
Gabrielle
Laureyns
 Introduc)on
   Fuzzy
controllers
   Performed
in
an
ad
hoc
manner
   Not
clear
how
to
justify
the
choices
of
many
parameters
   The
fuzzy
controller
constructed
for
the
nominal
plant
 may
later
perform
inadequately
due
changes
of
the
 plant,
environment
disturbances
   A
“learning”
algorithm
is
needed
to
resolve
these
 fuzzy
controller
design
issues
 Introduc)on
   FMRLC
   Employs
a
reference
model
   To
provide
a
closed‐loop
performance
feedback
for
 synthesizing
   Tuning
a
fuzzy
controller’s
knowledge‐base
   How
to
improve
Procyk
and
Mamdani’s
linguistic
self‐ organizing
controller
   By
utilizing
certain
general
ideas
in
conventional
adaptive
 control
(MRAC)
   Incorporates
a
capability
for
accurately
quantifying
virtually
 any
form
of
desired
performance
(disadvantages:
large
 memory
,
long
computation
time)
 FMRLC
‐
Architecture
 Parameters
   c(t)
:
velocity...
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This note was uploaded on 12/29/2011 for the course ME 680 taught by Professor Na during the Fall '10 term at Purdue.

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