Opt4smart publications of I. Notarnicola
Journal articles
-
A. Camisa,
I. Notarnicola,
and G. Notarstefano.
Distributed Stochastic Dual Subgradient for Constraint-Coupled Optimization.
IEEE Control Systems Letters,
6:644-649,
2022.
Note: [Download], [DOI: 10.1109/LCSYS.2021.3084531], [arXiv].
Keywords: Distributed Optimization.
-
A. Camisa,
F. Farina,
I. Notarnicola,
and G. Notarstefano.
Distributed constraint-coupled optimization via primal decomposition over random time-varying graphs.
Automatica,
131:109739,
2021.
Note: [Download], [DOI: 10.1016/j.automatica.2021.109739], [arXiv].
Keywords: Distributed Optimization.
-
A. Camisa,
I. Notarnicola,
and G. Notarstefano.
Distributed primal decomposition for large-scale MILPs.
IEEE Transactions on Automatic Control,
2021.
Note: [Download], [DOI: 10.1109/TAC.2021.3057061], [arXiv].
Keywords: Distributed Optimization.
-
I. Notarnicola,
Y. Sun,
G. Scutari,
and G. Notarstefano.
Distributed Big-Data Optimization via Block-wise Gradient Tracking.
IEEE Transactions on Automatic Control,
66(5):2045-2060,
2021.
Note: [Download], [DOI: 10.1109/TAC.2020.3008713], [arXiv].
Keywords: Distributed Optimization.
-
L. Sforni,
S. Spedicato,
I. Notarnicola,
and G. Notarstefano.
GoPRONTO: a Feedback-based Framework for Nonlinear Optimal Control.
2021.
Note: Submitted for journal publication, [arXiv].
Keywords: Distributed Optimization,
Optimal control.
-
G. Carnevale,
F. Farina,
I. Notarnicola,
and G. Notarstefano.
Distributed online optimization via gradient tracking with adaptive momentum.
2020.
Note: Submitted for journal publication, [arXiv].
Keywords: Distributed Optimization,
Estimation and Learning.
-
A. Falsone,
I. Notarnicola,
G. Notarstefano,
and M. Prandini.
Tracking-ADMM for Distributed Constraint-Coupled Optimization.
Automatica,
117,
2020.
Note: [Download], [DOI: 10.1016/j.automatica.2020.108962], [arXiv].
Keywords: Distributed Optimization.
-
I. Notarnicola and G. Notarstefano.
Constraint-Coupled Distributed Optimization: a Relaxation and Duality Approach.
IEEE Transactions on Control of Network Systems,
7(1):483-492,
2020.
Note: [Download], [DOI: 10.1109/TCNS.2019.2925267], [arXiv].
Keywords: Distributed Optimization.
-
I. Notarnicola,
A. Simonetto,
F. Farina,
and G. Notarstefano.
Distributed personalized gradient tracking with convex parametric models.
2020.
Note: Provisionally accepted for TAC, [arXiv].
Keywords: Distributed Optimization,
Estimation and Learning.
-
G. Notarstefano,
I. Notarnicola,
and A. Camisa.
Distributed Optimization for Smart Cyber-Physical Networks.
Foundations and Trends in Systems and Control,
7(3):253-383,
2019.
Note: [Download], [DOI: 10.1561/2600000020], [arXiv].
Keywords: Distributed Optimization,
Estimation and Learning,
Decision and Control.
-
I. Notarnicola,
M. Franceschelli,
and G. Notarstefano.
A duality-based approach for distributed min-max optimization.
IEEE Transactions on Automatic Control,
64(6):2259-2566,
2018.
Note: [Download], [DOI: 10.1109/TAC.2018.2872200], [arXiv].
Keywords: Distributed Optimization,
Decision and Control.
-
I. Notarnicola,
R. Carli,
and G. Notarstefano.
Distributed Partitioned Big-Data Optimization via Asynchronous Dual Decomposition.
IEEE Transactions on Control of Network Systems,
5(4):1910-1919,
2017.
Note: [Download], [DOI: 10.1109/TCNS.2017.2774010], [arXiv].
Keywords: Distributed Optimization,
Decision and Control,
Estimation and Learning.
-
I. Notarnicola and G. Notarstefano.
Asynchronous Distributed Optimization via Randomized Dual Proximal Gradient.
IEEE Transactions on Automatic Control,
62(5):2095-2106,
2017.
Note: [Download], [DOI: 10.1109/TAC.2016.2607023], [arXiv].
Keywords: Distributed Optimization,
Estimation and Learning,
Decision and Control.
Conference articles
-
L. Sforni,
I. Notarnicola,
and G. Notarstefano.
Learning-driven Nonlinear Optimal Control via Gaussian Process Regression.
In IEEE Conf. on Decision and Control,
2021.
Note: (to appear).
Keywords: Estimation and Learning,
Optimal control.
-
G. Carnevale,
M. Bin,
I. Notarnicola,
L. Marconi,
and G. Notarstefano.
Enhanced Gradient Tracking Algorithms for Distributed Quadratic Optimization via Sparse Gain Design.
In IFAC World Congress,
volume 53,
pages 2696-2701,
2020.
Elsevier.
Note: [Download], [DOI: 10.1016/j.ifacol.2020.12.405], [arXiv].
-
A. Falsone,
I. Notarnicola,
G. Notarstefano,
and M. Prandini.
Combining ADMM and tracking over networks for distributed constraint-coupled optimization.
In IFAC World Congress,
volume 53,
pages 2654-2659,
2020.
Elsevier.
Note: [Download], [DOI: 10.1016/j.ifacol.2020.12.380], [arXiv].
-
F. Farina,
A. Camisa,
A. Testa,
I. Notarnicola,
and G. Notarstefano.
Disropt: a Python framework for distributed optimization.
In IFAC World Congress,
volume 53,
pages 2666-2671,
2020.
Note: [Download], [DOI: 10.1016/j.ifacol.2020.12.382], [arXiv].
-
M. Bin,
I. Notarnicola,
L. Marconi,
and G. Notarstefano.
A System Theoretical Perspective to Gradient-Tracking Algorithms for Distributed Quadratic Optimization.
In IEEE Conf. on Decision and Control,
Nice, France,
pages 2994-2999,
2019.
Note: [Download], [DOI: 10.1109/CDC40024.2019.9029824], [arXiv].
Keywords: Distributed Optimization.
-
A. Camisa,
F. Farina,
I. Notarnicola,
and G. Notarstefano.
Distributed Constraint-Coupled Optimization over Random Time-Varying Graphs via Primal Decomposition and Block Subgradient Approaches.
In IEEE Conf. on Decision and Control,
Nice, France,
pages 6374-6379,
2019.
Note: [Download], [DOI: 10.1109/CDC40024.2019.9029689], [arXiv].
Keywords: Distributed Optimization,
Optimization.
-
A. Camisa,
I. Notarnicola,
and G. Notarstefano.
A Primal Decomposition Method with Suboptimality Bounds for Distributed Mixed-Integer Linear Programming.
In IEEE Conf. on Decision and Control,
Miami, USA,
pages 3391-3396,
2018.
Note: [Download], [DOI: 10.1109/CDC.2018.8619597], [arXiv].
Keywords: Distributed Optimization,
Optimization.
-
A. Testa,
I. Notarnicola,
and G. Notarstefano.
Distributed Submodular Minimization over Networks: a Greedy Column Generation Approach.
In IEEE Conf. on Decision and Control,
Miami, USA,
pages 4945-4950,
2018.
Note: [Download], [DOI: 10.1109/CDC.2018.8618958], [arXiv]
.
Keywords: Distributed Optimization.
-
I. Notarnicola and G. Notarstefano.
A duality-based approach for distributed optimization with coupling constraints.
In IFAC World Congress,
Toulouse, France,
pages 14326-14331,
2017.
Note: [Download], [DOI: 10.1016/j.ifacol.2017.08.1874], [arXiv].
Keywords: Distributed Optimization,
Decision and Control.
-
I. Notarnicola,
Y. Sun,
G. Scutari,
and G. Notarstefano.
Distributed Big-Data Optimization Via Block Communications.
In IEEE 7th International Workshop on Computational Advances in Multi- Sensor Adaptive Processing (CAMSAP),
Curacao, Dutch Antilles,
pages 557-561,
2017.
Note: [Download], [DOI: 10.1109/CAMSAP.2017.8313176], [arXiv].
Keywords: Distributed Optimization,
Robotic Networks.
-
I. Notarnicola,
Y. Sun,
G. Scutari,
and G. Notarstefano.
Distributed Big-Data Optimization Via Block-Iterative Convexification and Averaging.
In IEEE Conf. on Decision and Control,
Melbourne, Australia,
pages 2281-2288,
2017.
Note: [Download], [DOI: 10.1109/CDC.2017.8263982], [arXiv].
Keywords: Distributed Optimization,
Robotic Networks.
-
I. Notarnicola,
F. Bayer,
G. Notarstefano,
and F. Allgower.
Final-State Constrained Optimal Control via a Projection Operator Approach.
In European Control Conference,
Aalborg, Denmark,
pages 148-153,
2016.
Note: [Download], [DOI: 10.1109/ECC.2016.7810278], [arXiv].
Keywords: Optimal Control.
-
I. Notarnicola,
M. Franceschelli,
and G. Notarstefano.
A duality-based approach for distributed min-max optimization with application to demand side management.
In IEEE Conf. on Decision and Control,
Las Vegas, USA,
pages 153-158,
2016.
Note: [Download], [DOI: 10.1109/CDC.2016.7798538], [arXiv].
Keywords: Distributed Optimization,
Decision and Control.
-
I. Notarnicola and G. Notarstefano.
A randomized primal distributed algorithm for partitioned and big-data non-convex optimization.
In IEEE Conf. on Decision and Control,
Las Vegas, USA,
pages 1877-1882,
2016.
Note: [Download], [DOI: 10.1109/CDC.2016.7798262], [arXiv].
Keywords: Distributed Optimization.
-
I. Notarnicola and G. Notarstefano.
Randomized dual proximal gradient for large-scale distributed optimization.
In IEEE Conf. on Decision and Control,
Osaka, Japan,
pages 712-717,
2015.
Note: [Download], [DOI: 10.1109/CDC.2015.7402313], [arXiv].
Keywords: Distributed Optimization,
Estimation and Learning,
Decision and Control.
BACK TO INDEX