This work presents a passivity-based stability guarantee for the decentralized control of
nonlinear power flow systems. This class of systems is characterized using a graph-based …

This dissertation presents a hierarchical control framework for vehicle energy management.
As a result of increasing electrification, legacy integration and control approaches for vehicle …

In this paper, we propose distributed feedback control that steers a dynamical network to a
prescribed equilibrium corresponding to the so-called Cournot-Nash equilibrium. The …

This paper investigates the control of flow networks, where the control objective is to
regulate the measured output (eg storage levels) towards a desired value. We present a …

A robust hierarchical model predictive control framework is presented for controlling a linear
system of dynamically coupled subsystems. A graph-based modeling framework captures …

Feedback is both a pillar of control theory and a pervasive principle of nature. For this
reason, control-theoretic methods are powerful to analyse the dynamic behaviour of …

We propose a Markovian stochastic approach to model the spread of a SARS-CoV-2-like
infection within a closed group of humans. The model takes the form of a Partially …

The problem of synthesizing network-decentralized observers arises when several agents,
corresponding to the nodes of a network, exchange information about local measurements …

A dynamical network is comprised of a finite number of subsystems, each having its own
dynamics, which interact according to a given interconnection topology. Dynamical networks …

We proposed network-decentralized control strategies, in which each actuator can
exclusively rely on local information, without knowing the network topology and the external …