In this work, we explore distributed optimization problems, as they are often stated in energy
and resource optimization. More precisely, we consider systems consisting of a number of …

This work presents a novel fault-tolerant control scheme based on active inference.
Specifically, a new formulation of active inference which, unlike previous solutions, provides …

In this article two limitations in current distributed model based approaches for anomaly
detection in large-scale uncertain nonlinear systems are addressed. The first limitation …

Detecting anomalies in large-scale distributed systems, such as cyber-attacks launched
against intelligent transportation systems and other critical infrastructures, or epidemics …

Releasing state samples generated by a dynamical system model, for data aggregation
purposes, can allow an adversary to perform reverse engineering and estimate sensitive …

Dans cette thèse de doctorat, nous étudions le problème de conception d'estimateur et de
commande préservant la confidentialité de données dans un système multi-algent composé …

Large-scale monitoring and control systems enabling a more intelligent infrastructure
increasingly rely on sensitive data obtained from private agents, eg, location traces collected …

Due to recent advances in technology and irreversible societal trends many applications in
control engineering become increasingly complex and interconnected. In addition to the …

Releasing state samples generated by a dynamical system model, for data aggregation
purposes, can allow an adversary to perform reverse engineering and estimate sensitive …