Embedding objects into Matlab/Simulink for process supervision

This paper introduces how artificial intelligence technologies can be integrated into a known computer aided control system design (CACSD) framework, Matlab/Simulink, using an object oriented approach. The aim is to build a framework to aid supervisory systems analysis, design and implementation. Th...

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Bibliographic Details
Published in:1996 IEEE International Symposium on Computer-Aided Control System Design pp. 20 - 25
Main Authors: Melendez, J., Colomer, J., de la Rosa, J.L., Aguilar-Martin, J., Vehi, J.
Format: Conference Proceeding Journal Article
Language:English
Published: IEEE 1996
Subjects:
Artificial intelligence
Automatic control
Computer programs
Control intel·ligent
Control systems
Design engineering
Expert systems
Intelligent control systems
Intel·ligència artificial
Libraries
Mathematical model
MATLAB
Matlab (Computer programs)
Matlab (Programes d'ordinador)
Object oriented modeling
Object-oriented programming
Programació orientada a l'objecte (Informàtica)
Programes d'ordinador
SIMULINK (Computer programs)
SIMULINK (Programes d'ordinador)
Systems engineering and theory
ISBN:0780330323, 9780780330320
Online Access:Get full text
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Summary:This paper introduces how artificial intelligence technologies can be integrated into a known computer aided control system design (CACSD) framework, Matlab/Simulink, using an object oriented approach. The aim is to build a framework to aid supervisory systems analysis, design and implementation. The idea is to take advantage of an existing CACSD framework, Matlab/Simulink, so that engineers can proceed: first to design a control system, and then to design a straightforward supervisory system of the control system in the same framework. Thus, expert systems and qualitative reasoning tools are incorporated into this popular CACSD framework to develop a computer aided supervisory system design (CASSD) framework. Object-variables an introduced into Matlab/Simulink for sharing information between tools.
ISBN:0780330323
9780780330320
DOI:10.1109/CACSD.1996.555191