Browsing NTNU Open by Author "Varagnolo, Damiano"
Now showing items 1-5 of 5
-
A computationally efficient model predictive control scheme for space debris rendezvous
Larsén, Alexander; Chen, Yutao; Bruschetta, Mattia; Carli, Ruggero; Cenedese, Angelo; Varagnolo, Damiano; Felicetti, Leonard (Journal article; Peer reviewed, 2019)We propose a non-linear model predictive scheme for planning fuel efficient maneuvers of small spacecrafts that shall rendezvous space debris. The paper addresses the specific issues of potential limited on-board computational ... -
Data-driven models of pelvic floor muscles dynamics subject to psychological and physiological stimuli
Knorn, Steffi; Varagnolo, Damiano; Dewitte, Marieke; Melles, Reinhilde (Journal article; Peer reviewed, 2019)This paper proposes individualized, dynamical and data-driven models to describe pelvic floor muscle responses in women undergoing vaginal dilation. Specifically, the models describe how the aggregated pressure exerted by ... -
Multi-Agent Newton-Raphson Optimizaton Over Lossy Networks
Bof, Nicoletta; Carli, Ruggero; Notarstefano, Giuseppe; Schenato, Luca; Varagnolo, Damiano (Peer reviewed; Journal article, 2019)In this work, we study the problem of unconstrained convex optimization in a fully distributed multiagent setting, which includes asynchronous computation and lossy communication. In particular, we extend a recently proposed ... -
Quantitative analysis of curricula coherence using directed graphs
Knorn, Steffi; Varagnolo, Damiano; Staffas, Kjell; Wrigstad, Tobias; Fjällström, Eva (Journal article; Peer reviewed, 2019)This paper investigates methods for quantitatively examining the connectivity and knowledge flow in a university program considering courses and concepts included in the program. The proposed method is expected to be useful ... -
Techno-Economic Evaluation of the Sizing and Operation of Battery Storage for Isolated Oil and Gas Platforms with High Wind Power Penetration
Chapaloglou, Spyridon; Varagnolo, Damiano; Tedeschi, Elisabetta (Chapter, 2019)According to the plans of one of the global oil and gas (O&G) industry leaders, the integration of offshore wind power into offshore O&G platforms will become reality within the next three years. Although this implementation ...