Oscillatory networks subjected to noise are broadly used to model physical and
technological systems. Due to their nonlinear coupling, such networks typically have …

Swarming patterns that emerge from the interaction of many mobile agents are a subject of
great interest in fields ranging from biology to physics and robotics. In some application …

Swarming is central to many problems in physics, biology, and engineering where collective
motion and cooperation emerge through interactions of many agents. As a result, inferring …

Utilizing a paradigmatic model for the motion of interacting self-propelled particles, we
demonstrate that local accelerations at the level of individual particles can drive transitions …

In this paper we present an n-node flexible active matter model to study the collective motion
due to the flocking of individual achiral agents on a two-dimensional surface. By introducing …

Collections of autonomously behaving systems, or swarms, are predicted to be an important
component of the US DoD strategy. Therefore, research into how to create swarms with …

While multi-agent systems or swarm systems interacting under potential-based systems in
an ideal all-to-all communication scenario have been well understood, swarm behavior in …

We solve the problem of predicting and controlling nonlinear dynamical networks under
random perturbations and targeted attacks, with applications to general communication …