Ivano Notarnicola

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 55

Top Topics

Gaussian Process

Column Generation

Optimal Control

Top Venues

IEEE Trans. Autom. Control.

Publications

Lorenzo Sforni, Guido Carnevale, Ivano Notarnicola, Giuseppe Notarstefano
Stability-Certified On-Policy Data-Driven LQR via Recursive Learning and Policy Gradient. CoRR (2024)
Guido Carnevale, Francesco Farina, Ivano Notarnicola, Giuseppe Notarstefano
GTAdam: Gradient Tracking With Adaptive Momentum for Distributed Online Optimization. IEEE Trans. Control. Netw. Syst. 10 (3) (2023)
Guido Carnevale, Ivano Notarnicola, Lorenzo Marconi, Giuseppe Notarstefano
Triggered Gradient Tracking for asynchronous distributed optimization. Autom. 147 (2023)
Ivano Notarnicola, Andrea Simonetto, Francesco Farina, Giuseppe Notarstefano
Distributed Personalized Gradient Tracking With Convex Parametric Models. IEEE Trans. Autom. Control. 68 (1) (2023)
Lorenzo Sforni, Guido Carnevale, Ivano Notarnicola, Giuseppe Notarstefano
On-Policy Data-Driven Linear Quadratic Regulator via Combined Policy Iteration and Recursive Least Squares. CDC (2023)
Ivano Notarnicola, Michelangelo Bin, Lorenzo Marconi, Giuseppe Notarstefano
The Gradient Tracking Is a Distributed Integral Action. IEEE Trans. Autom. Control. 68 (12) (2023)
Tong Liu, Michelangelo Bin, Ivano Notarnicola, Thomas Parisini, Zhong-Ping Jiang
Discrete-Time Distributed Optimization for Linear Uncertain Multi-Agent Systems. CDC (2023)
Andrea Simonetto, Ivano Notarnicola
Achievement and Fragility of Long-term Equitability. AIES (2022)
Ivano Notarnicola, Alessandro Falsone
Passivity-based Analysis of the ADMM Algorithm for Constraint-Coupled Optimization. Autom. 146 (2022)
Andrea Camisa, Ivano Notarnicola, Giuseppe Notarstefano
Distributed Primal Decomposition for Large-Scale MILPs. IEEE Trans. Autom. Control. 67 (1) (2022)
Michelangelo Bin, Ivano Notarnicola, Thomas Parisini
Stability, Linear Convergence, and Robustness of the Wang-Elia Algorithm for Distributed Consensus Optimization. CDC (2022)
Guido Carnevale, Ivano Notarnicola, Lorenzo Marconi, Giuseppe Notarstefano
Triggered Gradient Tracking for Asynchronous Distributed Optimization. CoRR (2022)
Andrea Camisa, Ivano Notarnicola, Giuseppe Notarstefano
Distributed Stochastic Dual Subgradient for Constraint-Coupled Optimization. IEEE Control. Syst. Lett. 6 (2022)
Michelangelo Bin, Ivano Notarnicola, Thomas Parisini
Stability, Linear Convergence, and Robustness of the Wang-Elia Algorithm for Distributed Consensus Optimization. CoRR (2022)
Andrea Simonetto, Ivano Notarnicola
Achievement and Fragility of Long-term Equitability. CoRR (2022)
Lorenzo Sforni, Sara Spedicato, Ivano Notarnicola, Giuseppe Notarstefano
GoPRONTO: a Feedback-based Framework for Nonlinear Optimal Control. CoRR (2021)
Lorenzo Sforni, Ivano Notarnicola, Giuseppe Notarstefano
Learning-driven Nonlinear Optimal Control via Gaussian Process Regression. CDC (2021)
Andrea Camisa, Francesco Farina, Ivano Notarnicola, Giuseppe Notarstefano
Distributed constraint-coupled optimization via primal decomposition over random time-varying graphs. Autom. 131 (2021)
Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano
Distributed Big-Data Optimization via Blockwise Gradient Tracking. IEEE Trans. Autom. Control. 66 (5) (2021)
Andrea Camisa, Ivano Notarnicola, Giuseppe Notarstefano
Distributed Primal Decomposition for Large-Scale MILPs. CoRR (2020)
Ivano Notarnicola, Giuseppe Notarstefano
Constraint-Coupled Distributed Optimization: A Relaxation and Duality Approach. IEEE Trans. Control. Netw. Syst. 7 (1) (2020)
Alessandro Falsone, Ivano Notarnicola, Giuseppe Notarstefano, Maria Prandini
Tracking-ADMM for distributed constraint-coupled optimization. Autom. 117 (2020)
Guido Carnevale, Francesco Farina, Ivano Notarnicola, Giuseppe Notarstefano
Distributed Online Optimization via Gradient Tracking with Adaptive Momentum. CoRR (2020)
Ivano Notarnicola, Andrea Simonetto, Francesco Farina, Giuseppe Notarstefano
Distributed Personalized Gradient Tracking with Convex Parametric Models. CoRR (2020)
Andrea Camisa, Francesco Farina, Ivano Notarnicola, Giuseppe Notarstefano
Distributed Constraint-Coupled Optimization via Primal Decomposition over Random Time-Varying Graphs. CoRR (2020)
Giuseppe Notarstefano, Ivano Notarnicola, Andrea Camisa
Distributed Optimization for Smart Cyber-Physical Networks. CoRR (2019)
Andrea Camisa, Francesco Farina, Ivano Notarnicola, Giuseppe Notarstefano
Distributed Constraint-Coupled Optimization over Random Time-Varying Graphs via Primal Decomposition and Block Subgradient Approaches. CDC (2019)
Ivano Notarnicola, Mauro Franceschelli, Giuseppe Notarstefano
A Duality-Based Approach for Distributed Min-Max Optimization. IEEE Trans. Autom. Control. 64 (6) (2019)
Francesco Farina, Andrea Camisa, Andrea Testa, Ivano Notarnicola, Giuseppe Notarstefano
DISROPT: a Python Framework for Distributed Optimization. CoRR (2019)
Giuseppe Notarstefano, Ivano Notarnicola, Andrea Camisa
Distributed Optimization for Smart Cyber-Physical Networks. Found. Trends Syst. Control. 7 (3) (2019)
Michelangelo Bin, Ivano Notarnicola, Lorenzo Marconi, Giuseppe Notarstefano
A System Theoretical Perspective to Gradient-Tracking Algorithms for Distributed Quadratic Optimization. CoRR (2019)
Alessandro Falsone, Ivano Notarnicola, Giuseppe Notarstefano, Maria Prandini
Tracking-ADMM for Distributed Constraint-Coupled Optimization. CoRR (2019)
Michelangelo Bin, Ivano Notarnicola, Lorenzo Marconi, Giuseppe Notarstefano
A System Theoretical Perspective to Gradient-Tracking Algorithms for Distributed Quadratic Optimization. CDC (2019)
Andrea Camisa, Ivano Notarnicola, Giuseppe Notarstefano
A Primal Decomposition Method with Suboptimality Bounds for Distributed Mixed-Integer Linear Programming. CoRR (2018)
Ivano Notarnicola, Ruggero Carli, Giuseppe Notarstefano
Distributed Partitioned Big-Data Optimization via Asynchronous Dual Decomposition. IEEE Trans. Control. Netw. Syst. 5 (4) (2018)
Ivano Notarnicola, Giuseppe Notarstefano
A Duality-Based Approach for Distributed Optimization with Coupling Constraints. CoRR (2018)
Andrea Testa, Ivano Notarnicola, Giuseppe Notarstefano
Distributed Submodular Minimization Over Networks: A Greedy Column Generation Approach. CDC (2018)
Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano
Distributed Big-Data Optimization via Block-Iterative Convexification and Averaging. CoRR (2018)
Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano
Distributed Big-Data Optimization via Block Communications. CoRR (2018)
Andrea Testa, Ivano Notarnicola, Giuseppe Notarstefano
Distributed Submodular Minimization over Networks: a Greedy Column Generation Approach. CoRR (2018)
Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano
Distributed Big-Data Optimization via Block-wise Gradient Tracking. CoRR (2018)
Andrea Camisa, Ivano Notarnicola, Giuseppe Notarstefano
A Primal Decomposition Method with Suboptimality Bounds for Distributed Mixed-Integer Linear Programming. CDC (2018)
Ivano Notarnicola, Ruggero Carli, Giuseppe Notarstefano
Distributed Partitioned Big-Data Optimization via Asynchronous Dual Decomposition. CoRR (2018)
Ivano Notarnicola, Florian A. Bayer, Giuseppe Notarstefano, Frank Allgöwer
Final-State Constrained Optimal Control via a Projection Operator Approach. CoRR (2017)
Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano
Distributed big-data optimization via block-iterative convexification and averaging. CDC (2017)
Ivano Notarnicola, Giuseppe Notarstefano
A randomized primal distributed algorithm for partitioned and big-data non-convex optimization. CoRR (2017)
Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano
Distributed big-data optimization via block communications. CAMSAP (2017)
Ivano Notarnicola, Giuseppe Notarstefano
Constraint Coupled Distributed Optimization: Relaxation and Duality Approach. CoRR (2017)
Ivano Notarnicola, Mauro Franceschelli, Giuseppe Notarstefano
A duality-based approach for distributed min-max optimization with application to demand side management. CoRR (2017)
Ivano Notarnicola, Giuseppe Notarstefano
Asynchronous Distributed Optimization Via Randomized Dual Proximal Gradient. IEEE Trans. Autom. Control. 62 (5) (2017)
Ivano Notarnicola, Giuseppe Notarstefano
A randomized primal distributed algorithm for partitioned and big-data non-convex optimization. CDC (2016)
Ivano Notarnicola, Mauro Franceschelli, Giuseppe Notarstefano
A duality-based approach for distributed min-max optimization with application to demand side management. CDC (2016)
Ivano Notarnicola, Florian A. Bayer, Giuseppe Notarstefano, Frank Allgöwer
Final-state constrained optimal control via a projection operator approach. ECC (2016)
Ivano Notarnicola, Giuseppe Notarstefano
Randomized dual proximal gradient for large-scale distributed optimization. CoRR (2016)
Ivano Notarnicola, Mauro Franceschelli, Giuseppe Notarstefano
A duality-based approach for distributed min-max optimization. CoRR (2016)
Ivano Notarnicola, Giuseppe Notarstefano
Asynchronous Distributed Optimization via Randomized Dual Proximal Gradient. CoRR (2015)
Ivano Notarnicola, Giuseppe Notarstefano
Randomized dual proximal gradient for large-scale distributed optimization. CDC (2015)