Fuzzy Modeling and Control Based on Cell Structures: An Expert System for Modeling and Control

摘要

The research carried out in artificial intelligence can be roughly divided into two approaches: (1) the research on the organization of the brain of humans and animals, and the realization of similar kinds of cell structures with computers; (2) the research on computer programs which in some way reflect a behavior which would generally be recognized as intelligent behavior. The purpose of the thesis is the development of a concept for modeling and control, based on a fuzzy reasoning method. Because of the enormous mental flexibility of man, the fuzzy reasoning method is based on some ideas of human brain function. These ideas are illustrated in the chapter by means of some examples. The concept is related to the second approach and includes the organization of knowledge in a structure built up with simple basic units which are called cells. These cells are far simpler than the neurons of the brain. The algorithms of the model and the controller will be based on a simultaneous usage of the contents of these cells. This can be compared with the parallel functioning of the neurons of the brain. The thesis concludes with a suggestion as to how the concept could be extended to obtain a fuzzy model and a fuzzy controller based on a concept of communicating cells.