Abstract: This paper studies the data-driven adaptive iterative learning control (DDAILC) problem for nonlinear stochastic systems. First, the DDAILC framework for nonlinear stochastic systems is ...

Background While the incidence of hospital adverse events appeared to be declining before 2019, the COVID-19 pandemic may ...

Abstract: Aiming to solve issues of limited resources in topology network communication, unavailability of the mathematical models, direct controller design without considering system dynamical ...