Authors:
Asier Ibeas
and
Manuel de la Sen
Affiliation:
Instituto de Investigación y Desarrollo de Procesos, Facultad de Ciencia y Tecnología, Universidad del País Vasco, Spain
Keyword(s):
Multimodel control, artificial intelligence, neural networks, genetic algorithms, fuzzy logic, switching.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computational Intelligence
;
Enterprise Information Systems
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Methodologies and Methods
;
Neural Network Software and Applications
;
Neural Networks
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Sensor Networks
;
Signal Processing
;
Soft Computing
;
Theory and Methods
;
Verification and Validation of Knowledge-Based Systems
Abstract:
This paper develops a representation of multi-model based controllers by using artificial intelligence typical structures. These structures will be neural networks, genetic algorithms and fuzzy logic. The interpretation of multimodel controllers in an artificial intelligence frame will allow the application of each specific technique to the design of multimodel based controllers. A method for synthesizing multimodel based neural network controllers from already designed single model based ones is presented. Some applications of the genetic algorithms and fuzzy logic to multimodel controller design are also proposed.