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...

Abstract This paper proposes a technique to identify nonlinear dynamical systems with time delay. The sparse optimization algorithm is extended proposed combines cross-validation techniques from machine learning for automatic model selection and an algebraic operation preprocessing signals filter the noise removing dependence on initial conditions. We further integrate bootstrapping resampling ...