Analysis of the performance of different fuzzy system controllers

  • Authors:

  • Patrick B. Moratori;Adriano J. O. Cruz;Laci Mary B. Manhães;Emília B. Ferreira;Márcia V. Pedro;Cabral Lima;Leila C. V. Andrade

  • Affiliations:

  • Instituto de Matemática / NCE, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brasil;Instituto de Matemática / NCE, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brasil;,Instituto de Matemática / NCE, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brasil;Instituto de Matemática / NCE, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brasil;Instituto de Matemática / NCE, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brasil;Instituto de Matemática / NCE, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brasil;,Instituto de Matemática / NCE, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brasil

  • Venue:
  • MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence
  • Year:
  • 2005

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Abstract

The main goal of this work is to study the reliability of fuzzy logic based systems. Three different configurations were compared to support this research. The context used was to guide a simulated robot through a virtual world populated with obstacles. In the first configuration, the system controls only the rotation angle of the robot. In the second one, there is an additional output that controls its step. In the third one, improvements were included in the decision process that controls the step and the rotation angle. In order to compare the performance of these approaches, we studied the controller stability based on the removal of rules. We measured two parameters: processing time and the amount of step necessary to reach the goal. This research shows that simplicity and easiness of the design of fuzzy controllers don't compromise its efficiency. Our experiments confirm that fuzzy logic based systems can properly perform under adverse conditions.