DocumentCode
3320997
Title
Supervisory control of discrete-event systems: neural representation
Author
Hafez, Wassim Aly
Author_Institution
Dept. of Syst. Eng., Case Western Reserve Univ., Cleveland, OH, USA
fYear
1989
fDate
25-26 Sep 1989
Firstpage
408
Lastpage
412
Abstract
The author studies the feasibility of solving a class of planning problems of discrete-event systems using neural (parallel) computation. Specifically, he presents a neural representation of supervisory controllers of discrete-event systems. An example is given to illustrate the application of the proposed representation to the problem of planning sensorless object manipulation strategies
Keywords
control engineering computing; discrete time systems; neural nets; discrete-event systems; neural representation; planning problems; sensorless object manipulation; supervisory control; supervisory controllers; Artificial neural networks; Automata; Automatic control; Computer aided software engineering; Discrete event systems; Job shop scheduling; Robotic assembly; Strategic planning; Supervisory control; Systems engineering and theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control, 1989. Proceedings., IEEE International Symposium on
Conference_Location
Albany, NY
ISSN
2158-9860
Print_ISBN
0-8186-1987-2
Type
conf
DOI
10.1109/ISIC.1989.238666
Filename
238666
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