Graph theory is now becoming a standard tool in system-level neuroscience. However,
endowing observed brain anatomy and dynamics with a complex network structure does not …

Graph theory is now becoming a standard tool in system‐level neuroscience. However,
endowing observed brain anatomy and dynamics with a complex network representation …

The quantitative understanding and precise control of complex dynamical systems can only
be achieved by observing their internal states via measurement and/or estimation. In large …

This paper aims to provide a comprehensive critical overview on how entities and their
interactions in Complex Networked Systems (CNS) are modelled across disciplines as they …

Observability is a property of a dynamical system that defines whether or not it is possible to
reconstruct the trajectory temporal evolution of the internal states of a system from a given …

Surgical interventions in epileptic patients aimed at the removal of the epileptogenic zone
have success rates at only 60-70%. This failure can be partly attributed to the insufficient …

Smart grids are becoming more common due to their capacity to accommodate secondary
sources, like green energies from solar panels or wind farms. However, the attack surface …

We consider a scenario where a team of robots with heterogeneous sensors must track a set
of targets or hazards which may induce sensory failures on the robots. In particular, the …

This work addresses the challenge of providing precise runway-relative position, velocity
and orientation reference to a landing aircraft based on monocular camera and low-cost …

Controlling chaotic systems is very often investigated by using empirical laws, without taking
advantage of the structure of the governing equations. There are two concepts, observability …