Event-Triggered Model-Free Adaptive Sliding Mode Control for a Class of Nonlinear Systems

This work proposes an event-triggered model-free adaptive sliding mode control (SMC) strategy for a class of discrete-time nonlinear networked control systems. Under the data-driven framework, a nonlinear dynamic linearization model is obtained via the time-varying pseudo-partial derivative (PPD). Then, an event-triggered mechanism is designed to reduce the transmission of system signal without relying on any model information. In addition, based on the tracking error, an event-triggered sliding mode controller is designed to drive systems state into a specified sliding surface and achieve the output track objective. Finally, the availability of the proposed data-driven event-triggered SMC scheme is verified by a numerical simulation.