System-Identification-Based Dynamic Event-Triggered Critic Control for Non-Affine Disturbed Systems

This paper develops a novel dynamic event-triggered control method for nonlinear non-affine disturbed continuous-time systems. The established approach is constructed based on the system identification and addresses the robust-optimal control transformation problem by modifying the cost function to account for the disturbances. Specifically, we employ a recurrent neural network to approximate the non-affine plant as an affine dynamic system, and introduce an internal dynamic variable to design a dynamic event-triggered controller based on the critic network. In the simulation section, we show the effectiveness of the developed method.