Bio-Motivated Two-Level Event-Triggered Controller for Nonlinear Systems

In this article, a biologically motivated two-level event-triggered mechanism is proposed to design a neuroadaptive controller with exponential convergence property. Specifically, an exponential adaptive neural network controller is designed, and a two-level event-triggered mechanism is developed for a class of nonlinear systems. The two-level event-triggered mechanism, which incorporates both static and dynamic event-triggered features, is motivated by the biological response to low- and high-speed changes in the environment. We also introduce a method in which time-varying control gain is used to achieve exponential convergence of the plant state. The effectiveness of the proposed control scheme is validated by numerical simulations. The minimal interevent time internal is lower bounded by a positive number, so no Zeno behavior occurs.