3 papers
math.OC2025
Distributed Constraint-Coupled Optimization: Harnessing ADMM-consensus for robustness
Mohamed Abdelmouamin Messilem, Guido Carnevale, Ruggero Carli
In this paper, we consider a network of agents that jointly aim to minimise the sum of local functions subject to coupling constraints involving all local variables. To solve this…
eess.SY2025
On Sufficient Richness for Linear Time-Invariant Systems
Marco Borghesi, Simone Baroncini, Guido Carnevale +2
Persistent excitation (PE) is a necessary and sufficient condition for uniform exponential parameter convergence in several adaptive, identification, and learning schemes. In this…
cs.RO2024
Multi-Robot Target Monitoring and Encirclement via Triggered Distributed Feedback Optimization
Lorenzo Pichierri, Guido Carnevale, Lorenzo Sforni +1
We design a distributed feedback optimization strategy, embedded into a modular ROS 2 control architecture, which allows a team of heterogeneous robots to cooperatively monitor and…