@article{MAKHILLAJIT2006515046,
    title = {Design with Simulation of an Iterative Fuzzy Logic Controller (IFLC)},
    journal = {Asian Journal of Information Technology},
    volume = {5},
    number = {1},
    pages = {34-37},
    year = {2006},
    issn = {1682-3915},
    doi = {ajit.2006.34.37},
    url = {https://makhillpublications.co/view-article.php?issn=1682-3915&doi=ajit.2006.34.37},
    author = {Mohammed Mahdi Ali},
    keywords = {Iterative Fuzzy Logic Controller (IFLC),Fuzzy Production Rules (FPRs),Input-Output scale factors (Ge, Gce and Gu)},
    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.}
    }