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Summary: Autonomous control systems are designed
to perform well under significantuncertainties
in the system and environment for extended
periods of time, and they must be able to
compensate for significant system failures
without external intervention. Intelligent
autonomous control systems use techniques
from the field of artificial intelligence (AI) to
achieve this autonomy. Such control systems
evolve from conventional control systems by
adding intelligent components, and their
development requires interdisciplinary re-
search. Here, we provide an introductionto the
area of intelligent autonomous control. The
fundamental issues in autonomous control
system modeling and analysis are discussed,
with emphasis on mathematical modeling.
Some recent results in relevant research areas
are summarized.
Introduction
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