Data-Driven Finite-Time Control for Nonlinear Systems With Event-Triggered Output

This paper concentrates on output event-triggered data-driven finite-time control of nonlinear systems. Under the compact form data model, system inputs and outputs are employed to construct a finite-time controller. Resorting to the Lyapunov method, a triggering rule is derived to reduce communication transmissions. Sufficient conditions are presented to ensure the finite-time convergence of the resultant tracking error system. An example is provided to validate the presented approach.