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 …

In this article, we propose a general framework for the study of differential inclusions in the
Wasserstein space of probability measures. Based on earlier geometric insights on the …

We derive novel algorithms for optimization problems constrained by partial differential
equations describing multiscale particle dynamics, including non-local integral terms …

We propose a multi-swarm approach to approximate the Pareto front of general multi-
objective optimization problems that is based on the consensus-based optimization method …

The synthesis of control laws for interacting agent-based dynamics and their mean-field limit
is studied. A linearization-based approach is used for the computation of suboptimal …

In this article, we derive conditions for the existence of solutions to state-constrained
continuity inclusions in Wasserstein spaces whose right-hand sides may be discontinuous in …

We analyze the problem of controlling a multiagent system with additive white noise through
parsimonious interventions on a selected subset of the agents (leaders). For such a …

In this article, we investigate some of the fine properties of the value function associated with
an optimal control problem in the Wasserstein space of probability measures. Building on …

In this article an anisotropic interaction model avoiding collisions is proposed. Starting point
is a general isotropic interacting particle system, as used for swarming or follower-leader …

Motivated by the applications in leader-follower multi-agent dynamics, a class of optimal
control problems is investigated, where the goal is to influence the behavior of a given …