Article (Scientific journals)
Design of an Algebraic Neural Operating System in Programmable Logical Controller for Simulation and Execution of Sequential Operations
Dubois, Daniel; Mascia, Antonio
2010In International Journal of Computing Anticipatory Systems, 25, p. 3-20
Peer reviewed
 

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Keywords :
control systems; computer systems; neural networks; logical controller
Abstract :
[en] This paper deals with a general method for the analysis and the logical generation of discrete systems in Programmable Logical Controller (PLC). The Boolean operators are implemented with a generic and unique algebraic model as event-dependent discrete equations, which can be executed in a sequential order. With this method, a generator of sequential logical tables can be designed, simulated and executed for implementing discrete dynamical systems. Two applications are studied. The first application deals with the industrial automation of a water supply for a factory. From the logical table of the events, an algebraic model is designed with a set of discrete equations. From these digital equations, a neural network of the water supply is built. The second application deals with an industrial traveling wagon.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Dubois, Daniel ;  Université de Liège - ULiège > HEC-Ecole de gestion : UER > UER Opérations
Mascia, Antonio
Language :
English
Title :
Design of an Algebraic Neural Operating System in Programmable Logical Controller for Simulation and Execution of Sequential Operations
Publication date :
2010
Journal title :
International Journal of Computing Anticipatory Systems
ISSN :
1373-5411
Publisher :
CHAOS, Liège, Belgium
Special issue title :
Evolution of Living Systems and Biophysics, Risk Management, Optimization, and Control; 7th BCSCMsG International Symposium.
Volume :
25
Pages :
3-20
Peer reviewed :
Peer reviewed
Available on ORBi :
since 15 April 2011

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