Abstract In recent years, Economic Model Predictive Control (EMPC) has received
considerable attention of many research groups. The present tutorial survey summarizes …

This article studies Lyapunov-like conditions to ensure a class of dynamical systems to
exhibit predefined-time stability. The origin of a dynamical system is predefined-time stable if …

In a pedagogical but exhaustive manner, this survey reviews the main results on input-to-
state stability (ISS) for infinite-dimensional systems. This property allows for the estimation of …

Lyapunov functions are an essential tool in the stability analysis of dynamical systems, both
in theory and applications. They provide sufficient conditions for the stability of equilibria or …

Today's control engineering problems exhibit an unprecedented complexity, with examples
including the reliable integration of renewable energy sources into power grids, safe …

Balancing safety and performance is one of the predominant challenges in modern control
system design. Moreover, it is crucial to robustly ensure safety without inducing unnecessary …

A data-driven adaptive tracking control approach is proposed for a class of continuous-time
nonlinear systems using a recent developed goal representation heuristic dynamic …

We develop a versatile deep neural network architecture, called Lyapunov-Net, to
approximate Lyapunov functions of dynamical systems in high dimensions. Lyapunov-Net …

This paper investigates the relations between three different properties, which are of
importance in optimal control problems: dissipativity of the underlying dynamics with respect …

This paper proposes a unifying design framework for dynamic feedback controllers that track
solution trajectories of time-varying generalized equations, such as local minimizers of …