Virtual Power Plants (VPPs) have emerged as a modern real-time energy management
architecture that seeks to synergistically coordinate an aggregation of renewable and non …

Multi-time scale techniques based on singular perturbations and averaging theory are
among the most powerful tools developed for the synthesis and analysis of feedback control …

The need for greener and cleaner aviation has accelerated the transition towards more
electric systems on the More Electric Aircraft. One of the key challenges related to the …

Control barrier functions are a popular method for encoding safety specifications for
dynamical systems. In this paper, a notion of control barrier function is defined that permits …

Reinforcement learning has been established over the past decade as an effective tool to
find optimal control policies for dynamical systems, with recent focus on approaches that …

This paper is about the construction of a family of centrally synergistic potential functions
from a single modified trace function on SO (3). First, we demonstrate that it is possible to …

Given a linear input/output relationship involving unknown parameters, we propose a hybrid
gradient descent algorithm to estimate the unknown parameters when the inputs and the …

This paper proposes a general framework for state estimation of systems modeled as hybrid
dynamical systems with jumps occurring at (approximately) known times. A candidate …

The current paper proposes a cascade structure controller for use with finite-order input-
affine nonlinear sys-tems with polytopic linear time-invariant (LTI) bounds. The controller is …

Abstract The Hybrid Event-B framework was introduced to add continuously varying
behaviour to the discrete changes of state characteristic of the well established Event-B …