ARTIFICIAL INTELLIGENCE REPRESENTATIONS OF MULTIMODEL BASED CONTROLLERS

摘要

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.