Prescribed Performance Based Adaptive Event-Triggered Fuzzy Tracking Control for Uncertain Nonlinear Systems

This study reports the prescribed performance based adaptive event-triggered fuzzy tracking control problem for uncertain nonlinear systems. An adaptive event-triggered fuzzy tracking controller is constructed under the framework of backstepping design, and the command filtered technique is used to avoid the problem of the explosion of complexity. The prescribed performance function is introduced to ensure the transient and steady state performance simultaneously, which greatly improves the control performance of the system. With the help of event-triggered mechanism, the proposed method can reduce computing burden and save communication resources. In addition, the proposed control scheme ensures that the tracking error converges asymptotically to zero but does not exceed the prescribed boundary, and all signals of the system are bounded. Finally, the simulation result verifies the effectiveness of the proposed control strategy.