The Evolutionary Programming in the Identification of Discreet Events Dynamic Systems

The present work evaluates the use of the evolutionary programming in problems of Industrial Automation. It is well known that technical of the evolutionary calculation as the Genetic Algorithms have provided satisfactory results when facing problems of automatic control, especially of continuous type, while the study of discrete dynamic have been relegated a little. In this work an identification technique is implemented based on the evolutionary programming for Discrete Events Dynamic Systems (DEDS), using finite state machines (like the machines of Mealy). This way, the identification of systems is approached, but whose dynamics are governed by discrete events. Also, we build a system based on the evolutionary programming to design finite state machines.