Event- Triggered Adaptive Prescribed Performance Control for a Class of Uncertain Nonlinear Systems

In this work, we present a new approach to design event-triggered adaptive control for a class of uncertain nonlinear systems with guaranteed performance. A prescribed performance function, which is characterized with the convergence rate, maximum overshoot, and steady error, is utilized to convert the original tracking error into a new error variable, resulting in a transformed error dynamic model. By designing event-triggered control for the transformed error dynamic model, the corresponding control scheme is able to ensure prescribed performance and reduce communication burden simultaneously. Simulation verification also confirms the effectiveness of the proposed approach.