Self Tuning Fuzzy controller of nonlinear systems
Sahraoui Mustapha, Mohammed Salem, Mohamed Fayçal Khelfi · 2012
The present paper is dedicated for the presentation and implementation of an optimized technique allowing an online adjustment of the fuzzy controller parameters. Indeed, we have obtained an on-line optimized zero order Takagi-Sugeno type FIS. This method is simple and safe since, it leads to very quick and efficient optimization technique. A comparison between the STFIS (Self Tuning Fuzzy Inference System) and PID controller's gives the improvement of the ability in sense of adaptation among the presence of noise of neuro-fuzzy controller.