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Marco Todescato, Ph.D.
Marco Todescato, Ph.D.
Fraunhofer Italia (ex BCAI)
Bestätigte E-Mail-Adresse bei fraunhofer.it
Titel
Zitiert von
Zitiert von
Jahr
An asynchronous consensus-based algorithm for estimation from noisy relative measurements
A Carron, M Todescato, R Carli, L Schenato
IEEE Transactions on Control of Network Systems 1 (3), 283-295, 2014
472014
Asynchronous Distributed Optimization over Lossy Networks via Relaxed ADMM: Stability and Linear Convergence
N Bastianello, R Carli, L Schenato, M Todescato
IEEE Transactions on Automatic Control, 2020
422020
Machine learning meets Kalman filtering
A Carron, M Todescato, R Carli, L Schenato, G Pillonetto
2016 IEEE 55th Conference on Decision and Control (CDC), 4594-4599, 2016
382016
State estimation in power distribution networks with poorly synchronized measurements
S Bolognani, R Carli, M Todescato
53rd IEEE Conference on Decision and Control, 2579-2584, 2014
342014
Multi-agents adaptive estimation and coverage control using Gaussian regression
A Carron, M Todescato, R Carli, L Schenato, G Pillonetto
European Control Conference (ECC), 2490-2495, 2015
302015
Online distributed voltage stress minimization by optimal feedback reactive power control
M Todescato, JW Simpson-Porco, F Dörfler, R Carli, F Bullo
IEEE Transactions on Control of Network Systems 5 (3), 1467-1478, 2018
282018
Multi-robots Gaussian estimation and coverage control: From client–server to peer-to-peer architectures
M Todescato, A Carron, R Carli, G Pillonetto, L Schenato
Automatica 80, 284-294, 2017
202017
Learning and sequencing of object-centric manipulation skills for industrial tasks
L Rozo, M Guo, AG Kupcsik, M Todescato, P Schillinger, M Giftthaler, ...
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
192020
Distributed Optimization over Lossy Networks via Relaxed Peaceman-Rachford Splitting: a Robust ADMM Approach
N Bastianello, M Todescato, R Carli, L Schenato
European Control Conference (ECC), 2018
192018
Efficient spatio-temporal Gaussian regression via Kalman filtering
M Todescato, A Carron, R Carli, G Pillonetto, L Schenato
Automatica 118, 109032, 2020
182020
A Robust Block-Jacobi Algorithm for Quadratic Programming under Lossy Communications
M Todescato, G Cavraro, R Carli, L Schenato
IFAC-PapersOnLine 48 (22), 126-131, 2015
172015
Distributed localization from relative noisy measurements: A robust gradient based approach
M Todescato, A Carron, R Carli, L Schenato
European Control Conference (ECC), 1914-1919, 2015
162015
Smart Grid State Estimation with PMUs Time Synchronization Errors
M Todescato, R Carli, L Schenato, G Barchi
Energies 13 (19), 5148, 2020
102020
A distributed dual-ascent approach for power control of wireless power transfer networks
KS Yildirim, R Carli, L Schenato, M Todescato
2017 IEEE 56th Conference on Decision and Control, 3507-3512, 2017
10*2017
A Partition-Based Implementation of the Relaxed ADMM for Distributed Convex Optimization over Lossy Networks
N Bastianello, R Carli, L Schenato, M Todescato
2018 IEEE Conference on Decision and Control (CDC), 3379-3384, 2018
92018
Multi-robot localization via GPS and relative measurements in the presence of asynchronous and lossy communication
M Todescato, A Carron, R Carli, A Franchi, L Schenato
European Control Conference (ECC), 2527-2532, 2016
92016
Partition-based multi-agent optimization in the presence of lossy and asynchronous communication
M Todescato, N Bof, G Cavraro, R Carli, L Schenato
Automatica 111, 108648, 2020
82020
Robust distributed estimation for localization in lossy sensor networks
N Bof, M Todescato, R Carli, L Schenato
IFAC-PapersOnLine 49 (22), 250-255, 2016
82016
Optimal voltage support and stress minimization in power networks
M Todescato, JW Simpson-Porco, F Dörfler, R Carli, F Bullo
54th IEEE Conference on Decision and Control, 6921-6926, 2015
82015
Bounded suboptimal search with learned heuristics for multi-agent systems
M Spies, M Todescato, H Becker, P Kesper, N Waniek, M Guo
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2387-2394, 2019
72019
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