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Second Call for Papers:
WORLD MULTICONFERENCE ON
SYSTEMICS, CYBERNETICS AND INFORMATICS (SCI'97)
Caracas, Venezuela
July 7-11, 1997
Special Session on Learning Control
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OVERVIEW
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SCI'97 is a truly multi-disciplinary conference, covering intelligent
computing, information theory, cybernetics, social and biological
systems, psychology, and applications. General information about the
conference is listed below or can be found at the website
SCI'97 is an ideal platform for a special session on "Learning Control",
an emerging discipline which is receiving more and more attention from
both the academic and industrial controls community, due to the increasing
complexity of (technical) systems.
LEARNING CONTROL
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"Learning Control" is a term attributed to a broad class of self-tuning
processes, where the performance of the controlled system with respect
to a particular task is self-improved based on the performance for
previous identical tasks. The idea of self-learning control systems is
aesthetically appealing and represents a fundamental step towards fully
autonomous systems. This is of advantage when dealing with uncertain or
changing systems.
The major difference between adaptive and learning control is sometimes
characterized in terms of 'local' and 'global' learning. An adaptive
systems continuously adapts to changes in environment and system para-
meters (local), whereas a learning systems memorizes and recognizes
previously experienced situations (global). The classification of
learning control will be one of many topics at this SCI'97 session. We
invite you to present your recent research results, learn about current
avenues in the field, and to meet interesting people.
TOPICS
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The Learning Control Session will include, but is not limited, to the
following topics (further suggestions are encouraged):
* Classification of learning control systems.
* Mathematical learning theory in a controls context.
* Biological or social self-learning control mechanisms and
their extension to technical systems.
* Human operator modeling.
Human operators are (currently) the ultimate learning controller
for complex systems.
* Neurocontrol, using biological or artificial neural networks.
* Fuzzy logic and learning.
* Optimal Control type learning algorithms (adaptive critics,
Q-learning, etc.).
* Variable structure learning of controllers and its
variants, e.g. reconfigurable and reparameterizable controllers.
* Stability of learning control systems (important!).
* Hardware implementations.
* Applications and case studies which exceed the usual benchmark
problems towards real-world complex systems.
Questions about, or contributions to this special session can be
e-mailed to Karl Mathia at
karl@mathia.com
or
kmathia@accurate-automation.com
PAPER SUBMISSION
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Please mail three (3) hardcopies of your abstract or draft (1-2 pages)
to:
Dr. Karl Mathia
Accurate Automation Corporation
7001 Shallowford Road Phone: (423) 894-4646
Chattanooga, TN 37421 Fax: (423) 894-4645
USA
Full-size papers (max. 8 pages, single spaced) may be submitted by
authors after the notification of acceptance.
Please note the deadline of May 12, 1997.
DEADLINES
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March 15, 1997 Submission of 1-2 page abstracts or drafts.
March 31, 1997 Acceptance notifications.
May 12, 1997 Submission of camera ready papers (max. 8 pages,
single spaced).
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