In the last two decades, network science has blossomed and influenced various fields, such
as statistical physics, computer science, biology and sociology, from the perspective of the …

Real-world networks often consist of millions of heterogenous elements that interact at
multiple timescales and length scales. The fields of statistical physics and control theory both …

A reflection of our ultimate understanding of a complex system is our ability to control its
behavior. Typically, control has multiple prerequisites: it requires an accurate map of the …

Given a linear system, we consider the problem of finding a small set of variables to affect
with an input so that the resulting system is controllable. We show that this problem is NP …

Recent studies have made important advances in identifying sensor or driver nodes, through
which we can observe or control a complex system. But the observational uncertainty …

Complex networks have, in recent years, brought many innovative impacts to large-scale
systems. However, great challenges also come forth due to distinct complex situations and …

An increasing number of complex systems are now modeled as networks of coupled
dynamical entities. Nonlinearity and high-dimensionality are hallmarks of the dynamics of …

This article reviews different kinds of models for the electric power grid that can be used to
understand the modern power system, the smart grid. From the physical network to abstract …

Targeted immunization of centralized nodes in large-scale networks has attracted significant
attention. However, in real-world scenarios, knowledge and observations of the network may …

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 …