Bin, Michelangelo; Notarnicola, Ivano; Parisini, Thomas, Semiglobal exponential stability of the discrete-time Arrow-Hurwicz-Uzawa primal-dual algorithm for constrained optimization, «MATHEMATICAL PROGRAMMING», 2024, 0, pp. 1 - 32 [articolo]
Liu, Tong; Bin, Michelangelo; Notarnicola, Ivano; Parisini, Thomas; Jiang, Zhong-Ping, Discrete-Time Distributed Optimization for Linear Uncertain Multi-Agent Systems, in: 2023 62nd IEEE Conference on Decision and Control (CDC), 2023, pp. 7439 - 7444 (atti di: 2023 62nd IEEE Conference on Decision and Control (CDC), Singapore, Singapore, 13-15 December 2023) [Contributo in Atti di convegno]
Notarnicola I.; Simonetto A.; Farina F.; Notarstefano G., Distributed Personalized Gradient Tracking with Convex Parametric Models, «IEEE TRANSACTIONS ON AUTOMATIC CONTROL», 2023, 68, Article number: 9697391, pp. 588 - 595 [articolo]Open Access
Guido Carnevale; Francesco Farina; Ivano Notarnicola; Giuseppe Notarstefano, GTAdam: Gradient Tracking With Adaptive Momentum for Distributed Online Optimization, «IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS», 2023, 10, Article number: 9999485, pp. 1436 - 1448 [articolo]Open Access
Sforni L.; Carnevale G.; Notarnicola I.; Notarstefano G., On-Policy Data-Driven Linear Quadratic Regulator via Combined Policy Iteration and Recursive Least Squares, in: Proceedings of the IEEE Conference on Decision and Control, Institute of Electrical and Electronics Engineers Inc., «PROCEEDINGS OF THE IEEE CONFERENCE ON DECISION & CONTROL», 2023, pp. 5047 - 5052 (atti di: 62nd IEEE Conference on Decision and Control, CDC 2023, Singapore, 2023) [Contributo in Atti di convegno]
Notarnicola, Ivano; Bin, Michelangelo; Marconi, Lorenzo; Notarstefano, Giuseppe, The Gradient Tracking Is a Distributed Integral Action, «IEEE TRANSACTIONS ON AUTOMATIC CONTROL», 2023, 68, Article number: 10050719, pp. 7911 - 7918 [articolo]Open Access
Carnevale G.; Notarnicola I.; Marconi L.; Notarstefano G., Triggered Gradient Tracking for asynchronous distributed optimization, «AUTOMATICA», 2023, 147, Article number: 110726, pp. 1 - 12 [articolo]
Simonetto A.; Notarnicola I., Achievement and Fragility of Long-Term Equitability, in: AIES 2022 - Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, Association for Computing Machinery, Inc, 2022, pp. 675 - 685 (atti di: 5th AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society, AIES 2022, Oxford, UK, 2022) [Contributo in Atti di convegno]
Camisa A.; Notarnicola I.; Notarstefano G., Distributed Primal Decomposition for Large-Scale MILPs, «IEEE TRANSACTIONS ON AUTOMATIC CONTROL», 2022, 67, pp. 413 - 420 [articolo]Open Access
Camisa, Andrea; Notarnicola, Ivano; Notarstefano, Giuseppe, Distributed Stochastic Dual Subgradient for Constraint-Coupled Optimization, «IEEE CONTROL SYSTEMS LETTERS», 2022, 6, pp. 644 - 649 [articolo]Open Access
Notarnicola I.; Falsone A., Passivity-based Analysis of the ADMM Algorithm for Constraint-Coupled Optimization, «AUTOMATICA», 2022, 146, Article number: 110552, pp. 1 - 5 [articolo]
Bin M.; Notarnicola I.; Parisini T., Stability, Linear Convergence, and Robustness of the Wang-Elia Algorithm for Distributed Consensus Optimization, in: Proceedings of the IEEE Conference on Decision and Control, Institute of Electrical and Electronics Engineers Inc., «PROCEEDINGS OF THE IEEE CONFERENCE ON DECISION & CONTROL», 2022, 2022, pp. 1610 - 1615 (atti di: 61st IEEE Conference on Decision and Control, CDC 2022, Cancun, Mexico, 2022) [Contributo in Atti di convegno]
Notarnicola, Ivano; Sun, Ying; Scutari, Gesualdo; Notarstefano, Giuseppe, Distributed Big-Data Optimization via Block-wise Gradient Tracking, «IEEE TRANSACTIONS ON AUTOMATIC CONTROL», 2021, 66, pp. 2045 - 2060 [articolo]Open Access
Camisa, Andrea; Farina, Francesco; Notarnicola, Ivano; Notarstefano, Giuseppe, Distributed constraint-coupled optimization via primal decomposition over random time-varying graphs, «AUTOMATICA», 2021, 131, Article number: 109739, pp. 1 - 13 [articolo]Open Access
Sforni, Lorenzo; Notarnicola, Ivano; Notarstefano, Giuseppe, Learning-driven Nonlinear Optimal Control via Gaussian Process Regression, in: 2021 IEEE 60th Annual Conference on Decision and Control, IEEE, «PROCEEDINGS OF THE ... IEEE CONFERENCE ON DECISION & CONTROL.», 2021, pp. 4412 - 4417 (atti di: IEEE Conference on Decision and Control, Austin, Texas, USA (Virtual), 13-17 December 2021) [Contributo in Atti di convegno]Open Access
