Ivano Notarnicola

61 papers C 1Journal 44Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Sparse Data-Driven LQR via Augmented Lagrangian-Based Policy Search. IEEE Trans. Control. Netw. Syst. Lorenzo Sforni, Ivano Notarnicola, Giuseppe Notarstefano
2025	—	`conf`	Passivity-based interpretation of the Tracking-ADMM algorithm for distributed constraint-coupled optimization. CDC Ivano Notarnicola, Alessandro Falsone
2024	—	`conf`	Nonconvex Big-Data Optimization via System Theory: a Block-wise Incremental Gradient Method. CDC Guido Carnevale, Ivano Notarnicola, Giuseppe Notarstefano
2024	J	`jnl`	Semiglobal exponential stability of the discrete-time Arrow-Hurwicz-Uzawa primal-dual algorithm for constrained optimization. Math. Program. Michelangelo Bin, Ivano Notarnicola, Thomas Parisini
2024	J	`jnl`	Stability-Certified On-Policy Data-Driven LQR via Recursive Learning and Policy Gradient. CoRR Lorenzo Sforni, Guido Carnevale, Ivano Notarnicola, Giuseppe Notarstefano
2023	—	`conf`	Discrete-Time Distributed Optimization for Linear Uncertain Multi-Agent Systems. CDC Tong Liu, Michelangelo Bin, Ivano Notarnicola, Thomas Parisini, Zhong-Ping Jiang
2023	J	`jnl`	Distributed Personalized Gradient Tracking With Convex Parametric Models. IEEE Trans. Autom. Control. Ivano Notarnicola, Andrea Simonetto, Francesco Farina, Giuseppe Notarstefano
2023	J	`jnl`	GTAdam: Gradient Tracking With Adaptive Momentum for Distributed Online Optimization. IEEE Trans. Control. Netw. Syst. Guido Carnevale, Francesco Farina, Ivano Notarnicola, Giuseppe Notarstefano
2023	—	`conf`	On-Policy Data-Driven Linear Quadratic Regulator via Combined Policy Iteration and Recursive Least Squares. CDC Lorenzo Sforni, Guido Carnevale, Ivano Notarnicola, Giuseppe Notarstefano
2023	J	`jnl`	The Gradient Tracking Is a Distributed Integral Action. IEEE Trans. Autom. Control. Ivano Notarnicola, Michelangelo Bin, Lorenzo Marconi, Giuseppe Notarstefano
2023	J	`jnl`	Triggered Gradient Tracking for asynchronous distributed optimization. Autom. Guido Carnevale, Ivano Notarnicola, Lorenzo Marconi, Giuseppe Notarstefano
2022	C	`conf`	Achievement and Fragility of Long-term Equitability. AIES Andrea Simonetto, Ivano Notarnicola
2022	J	`jnl`	Achievement and Fragility of Long-term Equitability. CoRR Andrea Simonetto, Ivano Notarnicola
2022	J	`jnl`	Distributed Primal Decomposition for Large-Scale MILPs. IEEE Trans. Autom. Control. Andrea Camisa, Ivano Notarnicola, Giuseppe Notarstefano
2022	J	`jnl`	Distributed Stochastic Dual Subgradient for Constraint-Coupled Optimization. IEEE Control. Syst. Lett. Andrea Camisa, Ivano Notarnicola, Giuseppe Notarstefano
2022	J	`jnl`	Passivity-based Analysis of the ADMM Algorithm for Constraint-Coupled Optimization. Autom. Ivano Notarnicola, Alessandro Falsone
2022	—	`conf`	Stability, Linear Convergence, and Robustness of the Wang-Elia Algorithm for Distributed Consensus Optimization. CDC Michelangelo Bin, Ivano Notarnicola, Thomas Parisini
2022	J	`jnl`	Stability, Linear Convergence, and Robustness of the Wang-Elia Algorithm for Distributed Consensus Optimization. CoRR Michelangelo Bin, Ivano Notarnicola, Thomas Parisini
2022	J	`jnl`	Triggered Gradient Tracking for Asynchronous Distributed Optimization. CoRR Guido Carnevale, Ivano Notarnicola, Lorenzo Marconi, Giuseppe Notarstefano
2021	J	`jnl`	Distributed Big-Data Optimization via Blockwise Gradient Tracking. IEEE Trans. Autom. Control. Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano
2021	J	`jnl`	Distributed constraint-coupled optimization via primal decomposition over random time-varying graphs. Autom. Andrea Camisa, Francesco Farina, Ivano Notarnicola, Giuseppe Notarstefano
2021	J	`jnl`	GoPRONTO: a Feedback-based Framework for Nonlinear Optimal Control. CoRR Lorenzo Sforni, Sara Spedicato, Ivano Notarnicola, Giuseppe Notarstefano
2021	—	`conf`	Learning-driven Nonlinear Optimal Control via Gaussian Process Regression. CDC Lorenzo Sforni, Ivano Notarnicola, Giuseppe Notarstefano
2020	J	`jnl`	Constraint-Coupled Distributed Optimization: A Relaxation and Duality Approach. IEEE Trans. Control. Netw. Syst. Ivano Notarnicola, Giuseppe Notarstefano
2020	J	`jnl`	Distributed Constraint-Coupled Optimization via Primal Decomposition over Random Time-Varying Graphs. CoRR Andrea Camisa, Francesco Farina, Ivano Notarnicola, Giuseppe Notarstefano
2020	J	`jnl`	Distributed Online Optimization via Gradient Tracking with Adaptive Momentum. CoRR Guido Carnevale, Francesco Farina, Ivano Notarnicola, Giuseppe Notarstefano
2020	J	`jnl`	Distributed Personalized Gradient Tracking with Convex Parametric Models. CoRR Ivano Notarnicola, Andrea Simonetto, Francesco Farina, Giuseppe Notarstefano
2020	J	`jnl`	Distributed Primal Decomposition for Large-Scale MILPs. CoRR Andrea Camisa, Ivano Notarnicola, Giuseppe Notarstefano
2020	J	`jnl`	Tracking-ADMM for distributed constraint-coupled optimization. Autom. Alessandro Falsone, Ivano Notarnicola, Giuseppe Notarstefano, Maria Prandini
2019	J	`jnl`	A Duality-Based Approach for Distributed Min-Max Optimization. IEEE Trans. Autom. Control. Ivano Notarnicola, Mauro Franceschelli, Giuseppe Notarstefano
2019	—	`conf`	A System Theoretical Perspective to Gradient-Tracking Algorithms for Distributed Quadratic Optimization. CDC Michelangelo Bin, Ivano Notarnicola, Lorenzo Marconi, Giuseppe Notarstefano
2019	J	`jnl`	A System Theoretical Perspective to Gradient-Tracking Algorithms for Distributed Quadratic Optimization. CoRR Michelangelo Bin, Ivano Notarnicola, Lorenzo Marconi, Giuseppe Notarstefano
2019	J	`jnl`	DISROPT: a Python Framework for Distributed Optimization. CoRR Francesco Farina, Andrea Camisa, Andrea Testa, Ivano Notarnicola, Giuseppe Notarstefano
2019	—	`conf`	Distributed Constraint-Coupled Optimization over Random Time-Varying Graphs via Primal Decomposition and Block Subgradient Approaches. CDC Andrea Camisa, Francesco Farina, Ivano Notarnicola, Giuseppe Notarstefano
2019	J	`jnl`	Distributed Optimization for Smart Cyber-Physical Networks. CoRR Giuseppe Notarstefano, Ivano Notarnicola, Andrea Camisa
2019	J	`jnl`	Distributed Optimization for Smart Cyber-Physical Networks. Found. Trends Syst. Control. Giuseppe Notarstefano, Ivano Notarnicola, Andrea Camisa
2019	J	`jnl`	Tracking-ADMM for Distributed Constraint-Coupled Optimization. CoRR Alessandro Falsone, Ivano Notarnicola, Giuseppe Notarstefano, Maria Prandini
2018	J	`jnl`	A Duality-Based Approach for Distributed Optimization with Coupling Constraints. CoRR Ivano Notarnicola, Giuseppe Notarstefano
2018	—	`conf`	A Primal Decomposition Method with Suboptimality Bounds for Distributed Mixed-Integer Linear Programming. CDC Andrea Camisa, Ivano Notarnicola, Giuseppe Notarstefano
2018	J	`jnl`	A Primal Decomposition Method with Suboptimality Bounds for Distributed Mixed-Integer Linear Programming. CoRR Andrea Camisa, Ivano Notarnicola, Giuseppe Notarstefano
2018	J	`jnl`	Distributed Big-Data Optimization via Block Communications. CoRR Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano
2018	J	`jnl`	Distributed Big-Data Optimization via Block-Iterative Convexification and Averaging. CoRR Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano
2018	J	`jnl`	Distributed Big-Data Optimization via Block-wise Gradient Tracking. CoRR Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano
2018	J	`jnl`	Distributed Partitioned Big-Data Optimization via Asynchronous Dual Decomposition. CoRR Ivano Notarnicola, Ruggero Carli, Giuseppe Notarstefano
2018	J	`jnl`	Distributed Partitioned Big-Data Optimization via Asynchronous Dual Decomposition. IEEE Trans. Control. Netw. Syst. Ivano Notarnicola, Ruggero Carli, Giuseppe Notarstefano
2018	—	`conf`	Distributed Submodular Minimization Over Networks: A Greedy Column Generation Approach. CDC Andrea Testa, Ivano Notarnicola, Giuseppe Notarstefano
2018	J	`jnl`	Distributed Submodular Minimization over Networks: a Greedy Column Generation Approach. CoRR Andrea Testa, Ivano Notarnicola, Giuseppe Notarstefano
2017	J	`jnl`	A duality-based approach for distributed min-max optimization with application to demand side management. CoRR Ivano Notarnicola, Mauro Franceschelli, Giuseppe Notarstefano
2017	J	`jnl`	A randomized primal distributed algorithm for partitioned and big-data non-convex optimization. CoRR Ivano Notarnicola, Giuseppe Notarstefano
2017	J	`jnl`	Asynchronous Distributed Optimization Via Randomized Dual Proximal Gradient. IEEE Trans. Autom. Control. Ivano Notarnicola, Giuseppe Notarstefano
2017	J	`jnl`	Constraint Coupled Distributed Optimization: Relaxation and Duality Approach. CoRR Ivano Notarnicola, Giuseppe Notarstefano
2017	—	`conf`	Distributed big-data optimization via block communications. CAMSAP Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano
2017	—	`conf`	Distributed big-data optimization via block-iterative convexification and averaging. CDC Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano
2017	J	`jnl`	Final-State Constrained Optimal Control via a Projection Operator Approach. CoRR Ivano Notarnicola, Florian A. Bayer, Giuseppe Notarstefano, Frank Allgöwer
2016	—	`conf`	A duality-based approach for distributed min-max optimization with application to demand side management. CDC Ivano Notarnicola, Mauro Franceschelli, Giuseppe Notarstefano
2016	J	`jnl`	A duality-based approach for distributed min-max optimization. CoRR Ivano Notarnicola, Mauro Franceschelli, Giuseppe Notarstefano
2016	—	`conf`	A randomized primal distributed algorithm for partitioned and big-data non-convex optimization. CDC Ivano Notarnicola, Giuseppe Notarstefano
2016	—	`conf`	Final-state constrained optimal control via a projection operator approach. ECC Ivano Notarnicola, Florian A. Bayer, Giuseppe Notarstefano, Frank Allgöwer
2016	J	`jnl`	Randomized dual proximal gradient for large-scale distributed optimization. CoRR Ivano Notarnicola, Giuseppe Notarstefano
2015	J	`jnl`	Asynchronous Distributed Optimization via Randomized Dual Proximal Gradient. CoRR Ivano Notarnicola, Giuseppe Notarstefano
2015	—	`conf`	Randomized dual proximal gradient for large-scale distributed optimization. CDC Ivano Notarnicola, Giuseppe Notarstefano