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Marco Fabris
Marco Fabris
Post-doctoral fellow, University of Padova
Email verificata su unipd.it
Titolo
Citata da
Citata da
Anno
Efficient tracking of heart rate under physical exercise from photoplethysmographic signals
G Frigo, M Fabris, A Galli, F Gambarin, IA Marsili, C Narduzzi, G Giorgi
2015 IEEE 1st International Forum on Research and Technologies for Society …, 2015
82015
Distributed strategies for dynamic coverage with limited sensing capabilities
M Fabris, A Cenedese
2019 27th Mediterranean Conference on Control and Automation (MED), 209-214, 2019
52019
Distributed dual quaternion based localization of visual sensor networks
L Varotto, M Fabris, G Michieletto, A Cenedese
2019 18th European Control Conference (ECC), 1836-1841, 2019
42019
A general regularized distributed solution for system state estimation from relative measurements
M Fabris, G Michieletto, A Cenedese
IEEE Control Systems Letters 6, 1580-1585, 2021
32021
Optimal time-invariant formation tracking for a second-order multi-agent system
M Fabris, A Cenedese, J Hauser
2019 18th European Control Conference (ECC), 1556-1561, 2019
32019
On the distributed estimation from relative measurements: A graph-based convergence analysis
M Fabris, G Michieletto, A Cenedese
2019 18th European Control Conference (ECC), 1550-1555, 2019
22019
A proximal point approach for distributed system state estimation
M Fabris, G Michieletto, A Cenedese
IFAC-PapersOnLine 53 (2), 2702-2707, 2020
12020
Distributed Optimization Strategies for Mobile Multi-Agent Systems
M Fabris
University of Padova, 2019
12019
Uncertainty-aware data-driven predictive control in a stochastic setting
V Breschi, M Fabris, S Formentin, A Chiuso
arXiv preprint arXiv:2211.10321, 2022
2022
Secure Consensus via Objective Coding: Robustness Analysis to Channel Tampering
M Fabris, D Zelazo
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022
2022
Bearing-based Autonomous Communication Relay Positioning under Field-of-View Constraints
M Fabris, D Zelazo
Advanced Control for Applications: Engineering and Industrial Systems, 2022
2022
Visual Sensor Network Stimulation Model Identification via Gaussian Mixture Model and Deep Embedded Features
L Varotto, M Fabris, G Michieletto, A Cenedese
Engineering Applications of Artificial Intelligence, 2022
2022
Strategies for coverage and focus on event for robotic swarms with limited sensing capabilities
M Fabris
University of Padova, 2016
2016
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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