TY  - JOUR
T1  - Design with Simulation of an Iterative Fuzzy Logic Controller (IFLC)
AU - , Mohammed Mahdi Ali 
JO  - Asian Journal of Information Technology
VL  - 5
IS  - 1
SP  - 34
EP  - 37
PY  - 2006
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2006.34.37
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2006.34.37
KW  - Iterative Fuzzy Logic Controller (IFLC)
KW  -Fuzzy Production Rules (FPRs)
KW  -Input-Output scale factors (Ge
KW  - Gce and Gu)
AB  - 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.
ER  -