Taylor Series-Based Fuzzy Model Predictive Control for Wheeled Robots

In this paper, a new hybrid method for controlling wheeled robot is introduced. Model predictive control (MPC) the main controller and fuzzy used as compensator. The nonlinear, multi-input–multi-output system that requires combined methods precise control. order to stabilize appropriate input set, at same time, attention paid reference signal tracking. simulation section, several different scenarios are applied parameter uncertainties their effects on controller’s performance evaluated. results show success efficiency of proposed method.