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 …

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 …

Self-organization and control around flocks and mills is studied for second-order swarming
systems involving self-propulsion and potential terms. It is shown that through the action of …

The synthesis of suboptimal feedback laws for controlling nonlinear dynamics arising from
semi-discretized PDEs is studied. An approach based on the State-dependent Riccati …

Feedback control synthesis for large-scale particle systems is reviewed in the framework of
model predictive control (MPC). The high-dimensional character of collective dynamics …

An optimized variant of the State Dependent Riccati Equations (SDREs) approach for
nonlinear optimal feedback stabilization is presented. The proposed method is based on the …

In this paper we propose a novel control approach for opinion dynamics on evolving
networks. The controls modify the strength of connections in the network, rather than …

We deal with a new maximum principle‐based stochastic control model for river
management through operating a dam and reservoir system. The model is based on …

A decentralized feedback controller for multi-agent systems, inspired by vehicle platooning,
is proposed. The closed-loop resulting from the decentralized control action has three …

The main topic of the thesis is the synthesis of control laws for interacting agent-based
dynamics and their mean-field limit. In particular, after a general introduction, in the second …