Adaptive TSK Fuzzy Control Design Using Scaling Gain Adaptation for Nonlinear Systems

This paper proposes a Takagi-Sugeno-Kang (TSK) fuzzy controller design using scaling gain adaptation. The proposed adaptation law for the TSK fuzzy controller resulting from the direct adaptive approach is used to appropriately determine the control signal of the controller. In this study, we first organize the TSK fuzzy controller without any specific experience information about the controlled system. Then, the proposed adaptation law is used to adapt the controller´s output scaling gain so that the satisfactory system performance of the closed-loop control system can be achieved. Finally, we use the proposed fuzzy controllers to control a nonlinear system, verifying its effectiveness.