Title :
Computational intelligence in process control
Author :
Sanz, R. ; Galán, R. ; Jiménez, A. ; Matía, F. ; Velasco, J.R. ; Martínez, G.
Author_Institution :
Dept. de Automatica, Ingenieria Electron. e Inf. Ind., Univ. Politecnica de Madrid, Spain
fDate :
27 Jun-2 Jul 1994
Abstract :
In the past years, the Intelligent Control Group at the Universidad Politecnica de Madrid has been developing architectures and applications for complex process control based on artificial intelligence technologies. We present some results obtained and comments about the work under development. The most active issues in these days are the specification of an intelligent control system design methodology based on a task-technology map and the integration of specific technologies to obtain synergistic effects. We study the application and integration of the following technologies: fuzzy control and validation, neurocontrol, neuromodelling and genetic algorithms for optimization and control adaptation
Keywords :
control engineering; factory automation; fuzzy control; genetic algorithms; intelligent control; neurocontrollers; process control; Universidad Politecnica de Madrid; artificial intelligence; computational intelligence; fuzzy control; genetic algorithms; intelligent control system; neurocontrol; neuromodelling; process control; task-technology map; Application software; Artificial intelligence; Computational intelligence; Control systems; Fuzzy control; Genetic algorithms; Information processing; Intelligent control; Intelligent sensors; Process control;
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
DOI :
10.1109/ICNN.1994.374558
