Hierarchical Fuzzy Logic Control

Masoud Mohammadian, Russel Stonier

Research output: A Conference proceeding or a Chapter in BookChapterpeer-review

Abstract

In this paper a method for designing a three level, hierarchical, self-learning fuzzy logic control systems based on the integration of evolutionary algorithms and fuzzy logic is given to provide an integrated knowledge base for intelligent control of mobile robots for collision-avoidance in a common workspace. The robots are considered as point masses in the simulation study. Evolutionary algorithms are employed as the adaptive method for learning the fuzzy rules of the control systems as well as learning, the mapping, and interaction between fuzzy knowledge bases of different fuzzy logic systems.
Original languageEnglish
Title of host publicationWorld Scientific
EditorsB Bouchon-Meunier, R.R. Yager, L.A. Zadeh
Place of PublicationUSA
PublisherWorld Scientific Publishing
Pages119-130
Number of pages12
Volume20
ISBN (Electronic)9789814492744
ISBN (Print)9789810243647
DOIs
Publication statusPublished - 1 Sep 2000

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