A composite self tuning strategy for fuzzy control of dynamic systems
Charles Shieh, Satish Sasidharan Nair · NASA STI Repository (National Aeronautics and Space Administration) · 1992
The feature of self learning makes fuzzy logic controllers attractive in control applications. This paper proposes a strategy to tune the fuzzy logic controller on-line by tuning the data base as well as the rule base. The structure of the controller is outlined and preliminary results are presented using simulation studies.