16 citations · 30 across the 8 of their papers we have counts for
10 papers
Hierarchical Topology-Aware Planning and Control of Underwater Vehicle-Manipulator Systems in Confined Environments
Mohamed Abdelwahab, Ruggero Carli, Damiano Varagnolo +1
This paper addresses autonomous intervention with an underwater vehicle--manipulator system (UVMS) in confined, cluttered, and partially known environments, where poor maneuverabil…
Improving Robustness and Deployability in Distributed MPC Formation Control: a Framework for Underwater Acoustic Networks
Emil Wengle, Damiano Varagnolo
We consider the problem of controlling networks of underwater agents that use acoustic communication channels to exchange information, and that are tasked with maintaining a given…
A Model Predictive Approach for Enhancing Transient Stability of Grid-Forming Converters
Ali Arjomandi-Nezhad, Yifei Guo, Bikash C. Pal +1
A model predictive control (MPC) method for enhancing post-fault transient stability of a grid-forming (GFM) inverter based resources (IBRs) is developed in this paper. This propos…
CasTGAN: Cascaded Generative Adversarial Network for Realistic Tabular Data Synthesis
Abdallah Alshantti, Damiano Varagnolo, Adil Rasheed +2
Generative adversarial networks (GANs) have drawn considerable attention in recent years for their proven capability in generating synthetic data which can be utilised for multiple…
Singularity-free Formation Path Following of Underactuated AUVs: Extended Version
Josef Matouš, Kristin Y. Pettersen, Damiano Varagnolo +1
This paper proposes a method for formation path following control of a fleet of underactuated autonomous underwater vehicles. The proposed method combines several hierarchic tasks…
Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning
Thomas Nakken Larsen, Amalie Heiberg, Eivind Meyer +3
Autonomous systems are becoming ubiquitous and gaining momentum within the marine sector. Since the electrification of transport is happening simultaneously, autonomous marine vess…
Distributed multi-agent Gaussian regression via finite-dimensional approximations
Gianluigi Pillonetto, Luca Schenato, Damiano Varagnolo
We consider the problem of distributedly estimating Gaussian processes in multi-agent frameworks. Each agent collects few measurements and aims to collaboratively reconstruct a com…
Newton-Raphson Consensus under asynchronous and lossy communications for peer-to-peer networks
Nicoletta Bof, Ruggero Carli, Giuseppe Notarstefano +2
In this work we study the problem of unconstrained convex-optimization in a fully distributed multi-agent setting which includes asynchronous computation and lossy communication. I…
Analysis of Newton-Raphson Consensus for multi-agent convex optimization under asynchronous and lossy communications
Ruggero Carli, Giuseppe Notarstefano, Luca Schenato +1
We extend a multi-agent convex-optimization algorithm named Newton-Raphson consensus to a network scenario that involves directed, asynchronous and lossy communications. We theoret…
Newton-Raphson Consensus for Distributed Convex Optimization
Damiano Varagnolo, Filippo Zanella, Angelo Cenedese +2
We address the problem of distributed uncon- strained convex optimization under separability assumptions, i.e., the framework where each agent of a network is endowed with a local…