3 citations · 3 across the 7 of their papers we have counts for
6 papers · 1 filter
Robust feedback stabilization of interacting multi-agent systems under uncertainty
Giacomo Albi, Michael Herty, Chiara Segala
We consider control strategies for large-scale interacting agent systems under uncertainty. The particular focus is on the design of robust controls that allow to bound the varianc…
Optimized leaders strategies for crowd evacuation in unknown environments with multiple exits
Giacomo Albi, Federica Ferrarese, Chiara Segala
In this chapter, we discuss the mathematical modeling of egressing pedestrians in an unknown environment with multiple exits. We investigate different control problems to enhance t…
Mean-field selective optimal control via transient leadership
Giacomo Albi, Stefano Almi, Marco Morandotti +1
A mean-field selective optimal control problem of multipopulation dynamics via transient leadership is considered. The agents in the system are described by their spatial position…
Gradient-augmented Supervised Learning of Optimal Feedback Laws Using State-dependent Riccati Equations
Giacomo Albi, Sara Bicego, Dante Kalise
A supervised learning approach for the solution of large-scale nonlinear stabilization problems is presented. A stabilizing feedback law is trained from a dataset generated from St…
Moment-Driven Predictive Control of Mean-Field Collective Dynamics
G. Albi, M. Herty, D. Kalise +1
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 sub-optimal…
Boltzmann games in heterogeneous consensus dynamics
Giacomo Albi, Lorenzo Pareschi, Mattia Zanella
We consider a constrained hierarchical opinion dynamics in the case of leaders' competition and with complete information among leaders. Each leaders' group tries to drive the foll…