6 papers
Model-Based Detection of Anomalous Events in Submarine Cables Using Distributed Deformation Sensing and Kalman Filtering
Camilla Fioravanti, Bianca Mazza, Marta Menci +2
Submarine power and telecommunication cables constitute critical global infrastructure, yet they remain vulnerable to mechanical damage caused by maritime activities and intentiona…
Distributed Containment of a Compromised Agent through Repulsive Cages
Luigi Petruzziello, Camilla Fioravanti, Gabriele Oliva
UAV swarms and cyber-physical multi-agent systems are increasingly deployed in safety-critical missions that require coordinated motion, distributed decision making, and autonomy.…
Average Consensus with Dynamic Quantization Framing and Finite-Time Termination over Limited-Bandwidth Directed Networks
Evagoras Makridis, Gabriele Oliva, Apostolos I. Rikos +1
This paper proposes a deterministic distributed algorithm, referred to as PP-ACDC, that achieves exact average consensus over possibly unbalanced directed graphs using only a fixed…
Multi-cluster distributed optimization in open multi-agent systems over directed graphs with acknowledgement messages
Evagoras Makridis, Gabriele Oliva, Themistoklis Charalambous
In this paper, we tackle the problem of distributed optimization over directed networks in open multi-agent systems (OMAS), where agents may dynamically join or leave, causing pers…
Average Consensus with Dynamic Compression in Bandwidth-Limited Directed Networks
Evagoras Makridis, Gabriele Oliva, Apostolos I. Rikos +1
In this paper, the average consensus problem has been considered for directed unbalanced networks under finite bit-rate communication. We propose the Push-Pull Average Consensus al…
Distributed Optimization with Gradient Tracking over Heterogeneous Delay-Prone Directed Networks
Evagoras Makridis, Gabriele Oliva, Kasagatta Ramesh Narahari +3
In this paper, we address the distributed optimization problem over unidirectional networks with possibly time-invariant heterogeneous bounded transmission delays. In particular, w…