Ivano Notarnicola

According to our database, Ivano Notarnicola authored at least 37 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Semiglobal exponential stability of the discrete-time Arrow-Hurwicz-Uzawa primal-dual algorithm for constrained optimization.

Michelangelo Bin, Ivano Notarnicola, Thomas Parisini

Math. Program., November, 2024

Stability-Certified On-Policy Data-Driven LQR via Recursive Learning and Policy Gradient.

Lorenzo Sforni, Guido Carnevale, Ivano Notarnicola, Giuseppe Notarstefano

CoRR, 2024

2023

The Gradient Tracking Is a Distributed Integral Action.

Ivano Notarnicola, Michelangelo Bin, Lorenzo Marconi, Giuseppe Notarstefano

IEEE Trans. Autom. Control., December, 2023

GTAdam: Gradient Tracking With Adaptive Momentum for Distributed Online Optimization.

Guido Carnevale, Francesco Farina, Ivano Notarnicola, Giuseppe Notarstefano

IEEE Trans. Control. Netw. Syst., September, 2023

Distributed Personalized Gradient Tracking With Convex Parametric Models.

Ivano Notarnicola, Andrea Simonetto, Francesco Farina, Giuseppe Notarstefano

IEEE Trans. Autom. Control., 2023

Triggered Gradient Tracking for asynchronous distributed optimization.

Guido Carnevale, Ivano Notarnicola, Lorenzo Marconi, Giuseppe Notarstefano

Autom., 2023

On-Policy Data-Driven Linear Quadratic Regulator via Combined Policy Iteration and Recursive Least Squares.

Lorenzo Sforni, Guido Carnevale, Ivano Notarnicola, Giuseppe Notarstefano

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Discrete-Time Distributed Optimization for Linear Uncertain Multi-Agent Systems.

Tong Liu, Michelangelo Bin, Ivano Notarnicola, Thomas Parisini, Zhong-Ping Jiang

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Distributed Primal Decomposition for Large-Scale MILPs.

Andrea Camisa, Ivano Notarnicola, Giuseppe Notarstefano

IEEE Trans. Autom. Control., 2022

Distributed Stochastic Dual Subgradient for Constraint-Coupled Optimization.

Andrea Camisa, Ivano Notarnicola, Giuseppe Notarstefano

IEEE Control. Syst. Lett., 2022

Passivity-based Analysis of the ADMM Algorithm for Constraint-Coupled Optimization.

Ivano Notarnicola, Alessandro Falsone

Autom., 2022

Stability, Linear Convergence, and Robustness of the Wang-Elia Algorithm for Distributed Consensus Optimization.

Michelangelo Bin, Ivano Notarnicola, Thomas Parisini

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Achievement and Fragility of Long-term Equitability.

Andrea Simonetto, Ivano Notarnicola

Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

2021

Distributed Big-Data Optimization via Blockwise Gradient Tracking.

Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano

IEEE Trans. Autom. Control., 2021

GoPRONTO: a Feedback-based Framework for Nonlinear Optimal Control.

Lorenzo Sforni, Sara Spedicato, Ivano Notarnicola, Giuseppe Notarstefano

CoRR, 2021

Distributed constraint-coupled optimization via primal decomposition over random time-varying graphs.

Andrea Camisa, Francesco Farina, Ivano Notarnicola, Giuseppe Notarstefano

Autom., 2021

Learning-driven Nonlinear Optimal Control via Gaussian Process Regression.

Lorenzo Sforni, Ivano Notarnicola, Giuseppe Notarstefano

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Constraint-Coupled Distributed Optimization: A Relaxation and Duality Approach.

Ivano Notarnicola, Giuseppe Notarstefano

IEEE Trans. Control. Netw. Syst., 2020

Distributed Online Optimization via Gradient Tracking with Adaptive Momentum.

Guido Carnevale, Francesco Farina, Ivano Notarnicola, Giuseppe Notarstefano

CoRR, 2020

Tracking-ADMM for distributed constraint-coupled optimization.

Alessandro Falsone, Ivano Notarnicola, Giuseppe Notarstefano, Maria Prandini

Autom., 2020

2019

A Duality-Based Approach for Distributed Min-Max Optimization.

Ivano Notarnicola, Mauro Franceschelli, Giuseppe Notarstefano

IEEE Trans. Autom. Control., 2019

Distributed Optimization for Smart Cyber-Physical Networks.

Giuseppe Notarstefano, Ivano Notarnicola, Andrea Camisa

Found. Trends Syst. Control., 2019

DISROPT: a Python Framework for Distributed Optimization.

Francesco Farina, Andrea Camisa, Andrea Testa, Ivano Notarnicola, Giuseppe Notarstefano

CoRR, 2019

Distributed Constraint-Coupled Optimization over Random Time-Varying Graphs via Primal Decomposition and Block Subgradient Approaches.

Andrea Camisa, Francesco Farina, Ivano Notarnicola, Giuseppe Notarstefano

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

A System Theoretical Perspective to Gradient-Tracking Algorithms for Distributed Quadratic Optimization.

Michelangelo Bin, Ivano Notarnicola, Lorenzo Marconi, Giuseppe Notarstefano

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

Distributed Partitioned Big-Data Optimization via Asynchronous Dual Decomposition.

Ivano Notarnicola, Ruggero Carli, Giuseppe Notarstefano

IEEE Trans. Control. Netw. Syst., 2018

Distributed Big-Data Optimization via Block-wise Gradient Tracking.

Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano

CoRR, 2018

A Duality-Based Approach for Distributed Optimization with Coupling Constraints.

Ivano Notarnicola, Giuseppe Notarstefano

CoRR, 2018

Distributed Submodular Minimization Over Networks: A Greedy Column Generation Approach.

Andrea Testa, Ivano Notarnicola, Giuseppe Notarstefano

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

A Primal Decomposition Method with Suboptimality Bounds for Distributed Mixed-Integer Linear Programming.

Andrea Camisa, Ivano Notarnicola, Giuseppe Notarstefano

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Asynchronous Distributed Optimization Via Randomized Dual Proximal Gradient.

Ivano Notarnicola, Giuseppe Notarstefano

IEEE Trans. Autom. Control., 2017

Distributed big-data optimization via block-iterative convexification and averaging.

Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Distributed big-data optimization via block communications.

Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016

Final-state constrained optimal control via a projection operator approach.

Ivano Notarnicola, Florian A. Bayer, Giuseppe Notarstefano, Frank Allgöwer

Proceedings of the 15th European Control Conference, 2016

A randomized primal distributed algorithm for partitioned and big-data non-convex optimization.

Ivano Notarnicola, Giuseppe Notarstefano

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

A duality-based approach for distributed min-max optimization with application to demand side management.

Ivano Notarnicola, Mauro Franceschelli, Giuseppe Notarstefano

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015

Randomized dual proximal gradient for large-scale distributed optimization.

Ivano Notarnicola, Giuseppe Notarstefano

Proceedings of the 54th IEEE Conference on Decision and Control, 2015