This study focuses on event-triggered control of nonlinear discrete-time systems with time delays. Based a Lyapunov-Krasovskii type input-to-state stability result, we propose novel algorithm that works as follows. The inputs are updated only when certain measurement error surpasses dynamical threshold depending both the system states and evolution time. Sufficient conditions established to ens...

This work provides a framework for data-driven control of discrete-time systems with unknown dynamics and outputs controllable by the inputs. leads to stable robust real-time such that feasible output trajectory can be tracked. is made possible Hölder-continuous learning schemes act as uncertainty observers. These observers learn from prior input-output history ensure finite-time convergence es...

This article is a brief exposure of the process approach to a newly emerging area called "discrete event systems" in control theory and summarizes some of the recent developments in this area. Discrete event systems is an area of research that is developing within the interstices of computer, control and communication sciences. The basic direction of research addresses issues in the analysis an...