Dynamic Event-Based Model Predictive Control of IT2 T–S Fuzzy System

For interval type-2 Takagi-Sugano (IT2 T-S) fuzzy systems, the model predictive control (MPC) synthesis is concerned under an improved dynamic event-triggered mechanism (DETM). The main point is an exponential decay term added in the error part. And then a more compact DETM-MPC algorithm is given for the MPC optimization problem with less data releases and signal updates. Moreover, the recursive feasibility of MPC optimization method is demonstrated and the asymptotic stability of the control system is proved, respectively. Finally, the effectiveness of the proposed method is verified by numerical simulations.