Adaptive Event-Triggered Output Feedback Predictive Control for Nonlinear Network Systems Represented by Interval Type-2 T-S Fuzzy Model

Aiming at the existence of bounded disturbance and data loss, a comprehensive algorithm of adaptive event-triggered model predictive control based on state observer and adaptive event-triggered scheme is proposed in this paper. Firstly, the mathematical model of nonlinear network control system is established by using interval Type-2 Takagi-Sugeno (T-S) fuzzy model. Then, the system observer is established to predict the state of the system, and the adaptive event-triggered scheme is addressed to avoid wasting network resources; A model predictive controller is proposed by optimizing the infinite horizon objective function which considers data loss and bounded disturbance via the S-procedure and LMI techniques. Finally, simulation results verify the effectiveness of the proposed control algorithm.