This paper addresses the problem of tuning fuzzy logic controllers. In this paper we presents a new technique called a genetic based fuzzy logic controller (GBFLC). The proposed technique is used to iteratively tune the set of fuzzy logic controller parameters such as membership functions and scaling factors. The proposed technique is also used to reduce the number of fuzzy rules. Computer simulations are performed on a wall-following mobile robot and the results show the usefulness of the proposed technique.
2009 American Control Conference, ACC 2009
Department of Systems and Computer Engineering

Desouky, S.F. (Sameh F.), & Schwartz, H.M. (2009). Genetic based fuzzy logic controller for a wall-following mobile robot. In Proceedings of the American Control Conference (pp. 3555–3560). doi:10.1109/ACC.2009.5159805