8 citations · 22 across the 23 of their papers we have counts for
30 papers · 1 filter
Data-Driven Optimal Distributed Controller Synthesis via Spatial Regret
Vaibhav Gupta, Daniele Martinelli, Giancarlo Ferrari-Trecate +2
In this paper, we present a novel method for synthesising an optimal distributed spatial regret controller using experimentally obtained frequency-response data. Spatial regret pro…
Stability-Preserving Online Adaptation of Neural Closed-loop Maps
Danilo Saccani, Luca Furieri, Giancarlo Ferrari-Trecate
The growing complexity of modern control tasks calls for controllers that can react online as objectives and disturbances change, while preserving closed-loop stability. Recent app…
Safety-Aware Performance Boosting for Constrained Nonlinear Systems
Danilo Saccani, Haoming Shen, Luca Furieri +1
We study a control architecture for nonlinear constrained systems that integrates a performance-boosting (PB) controller with a scheduled Predictive Safety Filter (PSF). The PSF ac…
Characterizing all locally exponentially stabilizing controllers as a linear feedback plus learnable nonlinear Youla dynamics
Luca Furieri
We derive a state-space characterization of all dynamic state-feedback controllers that make an equilibrium of a nonlinear input-affine continuous-time system locally exponentially…
Distributed Control of Network Systems in the Space of Stabilizing Graph Neural Network Policies
John Cao, Luca Furieri
We study distributed control of networked systems through reinforcement learning, where neural policies must be simultaneously scalable, expressive and stabilizing. We introduce a…
A graph-informed regret metric for optimal distributed control
Daniele Martinelli, Andrea Martin, Giancarlo Ferrari-Trecate +1
We consider the optimal control of large-scale systems using distributed controllers whose network topology mirrors the coupling graph between subsystems. In this work, we introduc…