Intelligent control is a class of control techniques that use various artificial intelligence computing approaches like neural networks, fuzzy logic, and genetic algorithms. Intelligent controllers
are envisioned emulating human mental faculties such as adaptation and learning,
planning under large uncertainty , coping with large amounts of data etc in
order to effectively control complex processes.”Intelligent control”is only a
name that appears to be useful today. In the same way the “modern control” of
the 60’s has now become “conventional control”. What is called ”Intelligent
control” today maybe called just ”control” in the not so distant future.
In the following,
several alternative definitions and certain essential characteristic of
intelligent system.
INTELLIGENT
SYSTEM
An intelligent system
has the abiliity to act appropriately in an unertain environment, where an
appropriate action is that which increase the probability of succes, and succes
is the achievment of behavioral subgoals that support the system’s ultimate
goal.
CONTROL
AND INTELLIGENT SYSTEM
Control system consists
of data structures or objects (the plant models and the control goals) and
processing unit or methods (the conrol laws):
An intellegent control
system is designed so that it can autonomously achive a high level goal, while
its components,control goals,plan model,and control laws are not completely
defined, either because they were not known at the designed time or because
they changed unexpectedly
The concepts
intelligent and control are closely related and the term “intelligent control”
has a unique and distinguishable meaning. An intelligent system must define and
use goals. Control is then required to move the system to these goals and to
define such goals.
POINTS OF VIEW OF
INTELLIGENT CONTROL (On Autonomy and Intelligence in Control by P.J. Antsaklis)
In the design of
controllers for complex dynamical systems there are needs today that cannot be
succesfully addresed by the existing cocnventional control Theory. They mainly
pertain to the areal of uncertanty. Heuristic methods may be needed to tune the
parameters of an adaptive control law. New control laws to perfform novel
control functions to meet new objective should be designed while the system is
in operation. Learning from past
experience and planning control actions may be necessary. Failure detection and
identification is needed.
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