From: Karl Mathia Subject: CFP: Learning Control at SCI'97 Date: Thu, 30 Jan 1997 10:28:06 -0500 (EST) *********************************************************************** Second Call for Papers: WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS (SCI'97) Caracas, Venezuela July 7-11, 1997 Special Session on Learning Control ----------------------------------- *********************************************************************** OVERVIEW -------- 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 http://www.iiis.org/ 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 ---------------- "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 ------ 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 ---------------- 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 --------- 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). ***********************************************************************