| 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 66 (6), 2620-2635, 2020 | 42 | 2020 |
| Distributed and inexact proximal gradient method for online convex optimization N Bastianello, E Dall’Anese 2021 European Control Conference (ECC), 2432-2437, 2021 | 24 | 2021 |
| Distributed optimization over lossy networks via relaxed peaceman-rachford splitting: a robust admm approach N Bastianello, M Todescato, R Carli, L Schenato 2018 European Control Conference (ECC), 477-482, 2018 | 19 | 2018 |
| Primal and dual prediction-correction methods for time-varying convex optimization N Bastianello, A Simonetto, R Carli arXiv preprint arXiv:2004.11709, 2020 | 13 | 2020 |
| 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 | 9 | 2018 |
| Relaxed hybrid consensus ADMM for distributed convex optimisation with coupling constraints A Olama, N Bastianello, PRC Mendes, E Camponogara IET Control Theory & Applications 13 (17), 2828-2837, 2019 | 8 | 2019 |
| Prediction-correction splittings for nonsmooth time-varying optimization N Bastianello, A Simonetto, R Carli 2019 18th European Control Conference (ECC), 1963-1968, 2019 | 8 | 2019 |
| Distributed Prediction-Correction ADMM for Time-Varying Convex Optimization N Bastianello, A Simonetto, R Carli 2020 54th Asilomar Conference on Signals, Systems, and Computers, 47-52, 2020 | 6 | 2020 |
| A stochastic operator framework for inexact static and online optimization N Bastianello, L Madden, R Carli, E Dall'Anese arXiv e-prints, arXiv: 2105.09884, 2021 | 5 | 2021 |
| Feedback-based optimization with sub-weibull gradient errors and intermittent updates AM Ospina, N Bastianello, E Dall’Anese IEEE Control Systems Letters 6, 2521-2526, 2022 | 3 | 2022 |
| tvopt: A Python Framework for Time-Varying Optimization N Bastianello 2021 60th IEEE Conference on Decision and Control (CDC), 227-232, 2021 | 3 | 2021 |
| Data-based online optimization of networked systems with infrequent feedback AM Ospina, N Bastianello, E Dall'Anese arXiv preprint arXiv:2109.06343, 2021 | 2 | 2021 |
| Prediction-correction splittings for time-varying optimization with intermittent observations N Bastianello, A Simonetto, R Carli IEEE Control Systems Letters 4 (2), 373-378, 2019 | 2 | 2019 |
| A novel bound on the convergence rate of ADMM for distributed optimization N Bastianello, L Schenato, R Carli Automatica 142, 110403, 2022 | 1 | 2022 |
| Opreg-boost: Learning to accelerate online algorithms with operator regression N Bastianello, A Simonetto, E Dall’Anese Learning for Dynamics and Control Conference, 138-152, 2022 | 1 | 2022 |
| Prediction-correction for nonsmooth time-varying optimization via forward-backward envelopes N Bastianello, A Simonetto, R Carli ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 1 | 2019 |
| Extrapolation-Based Prediction-Correction Methods for Time-varying Convex Optimization N Bastianello, R Carli, A Simonetto Signal Processing 210, 109089, 2023 | | 2023 |
| Internal Model-Based Online Optimization N Bastianello, R Carli, S Zampieri arXiv preprint arXiv:2205.13932, 2022 | | 2022 |
| Decentralized Intersection Control Using Bayesian Game Theory N Bastianello, L Badia Proc. 2nd ISMODE, 2022 | | 2022 |
| ADMM for Dynamic Average Consensus over Imperfect Networks N Bastianello, R Carli IFAC-PapersOnLine 55 (13), 228-233, 2022 | | 2022 |
Ruggero CarliAssociate Professor at University of PadovaBestätigte E-Mail-Adresse bei dei.unipd.it
