This paper presents a review and critical analysis on the modeling of the dynamics of
vehicular traffic, human crowds and swarms seen as living and, hence, complex systems. It …

A tensor decomposition approach for the solution of high-dimensional, fully nonlinear
Hamilton--Jacobi--Bellman equations arising in optimal feedback control of nonlinear …

Digital communication has made the public discourse considerably more complex, and new
actors and strategies have emerged as a result of this seismic shift. Aside from the often …

This review aims to present recent developments in modeling and control of multiagent
systems. A particular focus is set on crowd dynamics characterized by complex interactions …

We investigate the implementation of a new stochastic Kuramoto-Vicsek-type model for
global optimization of nonconvex functions on the sphere. This model belongs to the class of …

We address the numerical approximation of mean field games with local couplings. For
power-like Hamiltonians, we consider a stationary system and also a system involving …

We address the design of decentralized feedback control laws inducing consensus and
prescribed spatial patterns over a singular interacting particle system of Cucker--Smale type …

In this work, we propose and investigate a strategy to prevent consensus in kinetic models
for opinion formation. We consider a large interacting agent system and assume that agent …

This paper focuses on the role of a government of a large population of interacting agents as
a meanfield optimal control problem derived from deterministic finite agent dynamics. The …

A sparse regression approach for the computation of high-dimensional optimal feedback
laws arising in deterministic nonlinear control is proposed. The approach exploits the control …