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Proceedings Paper

On The Theory Of Intelligent Controls
Author(s): George N. Saridis; Kimon P. Valavanis
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Paper Abstract

The recent need of generating machines with enough intelligence to perform autonomously in uncertain environments has imposed new demands on the design of control systems. The new discipline draws its ideas not only from Control Systems Theory but from Artificial Intelligence and Operations Research, as well, in order to meet the needs of intelligent operation with similarities to human behavior. Even though several approaches have been proposed, this paper will deal with the evolution of control theory that leads into the definition of Hierarchically Intelligent Control and the Principle of Decreasing Precision with Increasing Intelligence. A three-level structure representing Organization, Coordination and Execution will be developed as a probabilistic model of such a system and the approaches necessary to implement each one of them will be discussed. Finally, Entropy will be proposed as a common measure of all three levels and the problem of Intelligent Control will be cast as the mathematical programming solution that minimizes the total entropy.

Paper Details

Date Published: 19 February 1988
PDF: 8 pages
Proc. SPIE 0848, Intelligent Robots and Computer Vision VI, (19 February 1988); doi: 10.1117/12.942789
Show Author Affiliations
George N. Saridis, Rensselaer Polytechnic Institute (United States)
Kimon P. Valavanis, Northeastern University (United States)

Published in SPIE Proceedings Vol. 0848:
Intelligent Robots and Computer Vision VI
David P. Casasent; Ernest L. Hall, Editor(s)

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