Mohammed Mahdi Ali  , 
    Design with Simulation of an Iterative Fuzzy Logic Controller (IFLC),
    Asian Journal of Information Technology,
    Volume 5,Issue 1,
    2006,
    Pages 34-37,
    ISSN 1682-3915,
    ajit.2006.34.37,
    (https://makhillpublications.co/view-article.php?doi=ajit.2006.34.37)
    Abstract: As the need for control is extended to systems of increasing complexity which is also often highly non-linear, rule-based fuzzy logic control was one of the successful solutions. An Iterative Fuzzy Logic Controller (IFLC) is designed based on finding the best input-output scale factors settings that are found during iterations to give an acceptable controlled behaviour. To verify the ability of the proposed IFLC, a promising simulation study on different kinds of control systems has been pointed out.
    Keywords: Iterative Fuzzy Logic Controller (IFLC);Fuzzy Production Rules (FPRs);Input-Output scale factors (Ge; Gce and Gu)