文档介绍：Optimisation
of
a
Fuzzy
Logic
Controller
Using
ic
Algorithms
Project
Report
Summer
2002
Student
Name:
Joseph
Foran
Student
ID:
51161001
Acknowledgements
I
would
like
to
thank
my
supervisor
Ms.
Jennifer
Bruton
for
her
help,
guidance
and
support
throughout
the
duration
of
the
project.
I
would
also
like
to
thank
my
fiancée,
family
and
friends
for
providing
support
and
the
occasional
e
distraction
while
I
worked
on
this
project.
Declaration
I
hereby
declare
that,
except
where
otherwise
indicated,
this
document
is
entirely
my
own
work
and
has
not
been
submitted
in
whole
or
in
part
to
any
other
university.
Signed:
......................................................................Date:
...............................
Abstract
Many
non-linear,
inherently
unstable
systems
exist
whose
control
using
conventional
methods
is
both
difficult
to
design
and
unsatisfactory
in
implementation.
Fuzzy
Logic
Controllers
are
a
class
of
non-linear
controllers
that
make
use
of
human
expert
knowledge
and
an
implicit
imprecision
to
apply
control
to
such
systems.
The
construction
of
these
controllers
can
be
quick
and
effective
in
the
presence
of
expert
knowledge;
conversely,
in
the
absence
of
such
knowledge,
their
design
can
be
slow
and
based
on
trial-and-error
rather
than
a
guided
approach.
ic
Algorithms
provide
a
way
of
surmounting
this
ing.
These
algorithms
use
some
of
the
concepts
of
evolutionary
theory,
and
provide
an
effective
way
of
searching
a
large
and
complex
solution
space
to
give
close
to
optimal
solutions
in
much
faster
times
than
random
trial-and-error.
They
are
also
generally
more
effective
at
avoiding
local
minima
than
differentiatio