We present feedback control methodologies for the stabilization of nonlinear collective
dynamics. The proposed controllers circumvent the curse of dimensionality associated to …

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 …

A multi-agent system consisting of heterogeneous agents, described by nonlinear dynamics
and with inter-agent communication characterised by a directed acyclic graph, is considered …

We consider the problem of safely coordinating ensembles of identical autonomous agents
to conduct complex missions with conflicting safety requirements and under noisy control …

We study the numerical realisation of optimal consensus control laws for agent-based
models. For a nonlinear multi-agent system of Cucker-Smale type, consensus control is cast …

We study interacting particle systems driven by noise, modeling phenomena such as
opinion dynamics. We are interested in systems that exhibit phase transitions ie non …

Due to advances in embedded computational resources over the last several years, a
considerable research effort has been devoted to the control of networks and control over …

This paper focuses on a model for opinion dynamics, where the influence weights of agents
evolve in time. We formulate a control problem of consensus type, in which the objective is to …

We present an optimal cooperative control method for a distance-based, leader-following
formation control of multi-agent systems with energy constraints. In order to develop a …

Modeling and control of agent-based models is twice cursed by the dimensionality of the
problem, as both the number of agents and their state space dimension can be large. Even …