Our ability to manipulate the behavior of complex networks depends on the design of
efficient control algorithms and, critically, on the availability of an accurate and tractable …

To control complex networks in practice, recent work has focused on the control energy
required to drive the associated system from an initial state to any final state within finite time …

In this paper, the finite-time (FT) optimal feedback control problems of knowledge
transmission processes in complex networks via model predictive control (MPC) have been …

Controlling complex networks has received much attention in the past two decades. In order
to control complex networks in practice, recent progress is mainly focused on the control …

The minimum number of inputs needed to control a network is frequently used to quantify its
controllability. Control of linear dynamics through a minimum set of inputs, however, often …

The network control theory framework holds great potential to inform neurostimulation
experiments aimed at inducing desired activity states in the brain. However, the current …

The Internet is transforming our society, necessitating a quantitative understanding of
Internet traffic. Our team collects and curates the largest publicly available Internet traffic …

In this paper we consider the problem of controlling a limited number of target nodes of a
network. Equivalently, we can see this problem as controlling the target variables of a …

Ease of control of complex networks has been assessed extensively in terms of structural
controllability and observability, and minimum control energy criteria. Here we adopt a …

Because of their higher aerodynamic efficiency and lighter structural weight, thin composite
wings with large aspect ratios are increasingly being used for civil transport aircraft wing …