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28th Annual Conference on Current
Trends in Theory and Practice of Informatics
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November 24 - December 1, 2001
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Knowledge-based Control Systems
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by Simon Lambert
The monitoring and control of industrial devices, systems and installations
has attracted attention from the field of knowledge-based systems for a
number of reasons. The problem is intrinsically knowledge-intensive,
needing awareness of the behaviour and interactions of physical components;
there are complexities such as time constraints, partial and qualitative
information, and possibly a need for adaptation over time; and in many cases
there is a need for a degree of human understandability in performance.
Many techniques have been applied to aspects of monitoring and control,
including rule-based, model-based and case-based reasoning. At a higher
level, architectural issues also arise, including the use of agents,
customisability of tools across applications or sites, and remote diagnosis
over the Internet. There are general issues of combining the
knowledge-based approaches with numerical ones, and, in the opposite
direction, cooperating effectively with human operators.
This talk will survey the background, problems and approaches to
knowledge-based control systems, and will describe work done in a variety of
applications, and particularly work in progress on the development of an
adaptive and customisable control system for anaerobic waste treatment
plants.
Department of Computer Science,
Faculty of Mathematics, Physics, and Informatics, Comenius University, Bratislava
All rights reserved. © 2000, 2001
Last modified: May 25, 2001