<s>
Intelligent	B-General_Concept
control	I-General_Concept
is	O
a	O
class	O
of	O
control	O
techniques	O
that	O
use	O
various	O
artificial	B-Application
intelligence	I-Application
computing	O
approaches	O
like	O
neural	B-Architecture
networks	I-Architecture
,	O
Bayesian	O
probability	O
,	O
fuzzy	O
logic	O
,	O
machine	O
learning	O
,	O
reinforcement	O
learning	O
,	O
evolutionary	O
computation	O
and	O
genetic	B-Algorithm
algorithms	I-Algorithm
.	O
</s>
<s>
Intelligent	B-General_Concept
control	I-General_Concept
can	O
be	O
divided	O
into	O
the	O
following	O
major	O
sub-domains	O
:	O
</s>
<s>
Neural	B-Architecture
networks	I-Architecture
have	O
been	O
used	O
to	O
solve	O
problems	O
in	O
almost	O
all	O
spheres	O
of	O
science	O
and	O
technology	O
.	O
</s>
<s>
Neural	B-Architecture
network	I-Architecture
control	O
basically	O
involves	O
two	O
steps	O
:	O
</s>
<s>
It	O
has	O
been	O
shown	O
that	O
a	O
feedforward	O
network	O
with	O
nonlinear	O
,	O
continuous	O
and	O
differentiable	O
activation	O
functions	O
have	O
universal	B-Algorithm
approximation	I-Algorithm
capability	O
.	O
</s>
<s>
Recurrent	B-Algorithm
networks	O
have	O
also	O
been	O
used	O
for	O
system	O
identification	O
.	O
</s>
<s>
The	O
Kalman	O
filter	O
and	O
the	O
Particle	B-Algorithm
filter	I-Algorithm
are	O
two	O
examples	O
of	O
popular	O
Bayesian	O
control	O
components	O
.	O
</s>
