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ORCIDIvano Notarnicola
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2020 – today
- 2024
[j16]Michelangelo Bin
, Ivano Notarnicola, Thomas Parisini:
Semiglobal exponential stability of the discrete-time Arrow-Hurwicz-Uzawa primal-dual algorithm for constrained optimization. Math. Program. 208(1): 629-660 (2024)- [i27]Lorenzo Sforni, Guido Carnevale, Ivano Notarnicola, Giuseppe Notarstefano:
Stability-Certified On-Policy Data-Driven LQR via Recursive Learning and Policy Gradient. CoRR abs/2403.05367 (2024) - 2023
- [j15]Guido Carnevale, Ivano Notarnicola, Lorenzo Marconi, Giuseppe Notarstefano:
Triggered Gradient Tracking for asynchronous distributed optimization. Autom. 147: 110726 (2023) - [j14]Ivano Notarnicola, Andrea Simonetto, Francesco Farina, Giuseppe Notarstefano:
Distributed Personalized Gradient Tracking With Convex Parametric Models. IEEE Trans. Autom. Control. 68(1): 588-595 (2023) - [j13]Ivano Notarnicola, Michelangelo Bin, Lorenzo Marconi, Giuseppe Notarstefano:
The Gradient Tracking Is a Distributed Integral Action. IEEE Trans. Autom. Control. 68(12): 7911-7918 (2023) - [j12]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): 1436-1448 (2023) - [c15]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: 5047-5052 - [c14]Tong Liu, Michelangelo Bin, Ivano Notarnicola, Thomas Parisini, Zhong-Ping Jiang:
Discrete-Time Distributed Optimization for Linear Uncertain Multi-Agent Systems. CDC 2023: 7439-7444 - 2022
- [j11]Ivano Notarnicola, Alessandro Falsone:
Passivity-based Analysis of the ADMM Algorithm for Constraint-Coupled Optimization. Autom. 146: 110552 (2022) - [j10]Andrea Camisa, Ivano Notarnicola, Giuseppe Notarstefano:
Distributed Stochastic Dual Subgradient for Constraint-Coupled Optimization. IEEE Control. Syst. Lett. 6: 644-649 (2022) - [j9]Andrea Camisa, Ivano Notarnicola, Giuseppe Notarstefano:
Distributed Primal Decomposition for Large-Scale MILPs. IEEE Trans. Autom. Control. 67(1): 413-420 (2022) - [c13]Andrea Simonetto, Ivano Notarnicola:
Achievement and Fragility of Long-term Equitability. AIES 2022: 675-685 - [c12]Michelangelo Bin, Ivano Notarnicola, Thomas Parisini:
Stability, Linear Convergence, and Robustness of the Wang-Elia Algorithm for Distributed Consensus Optimization. CDC 2022: 1610-1615 - [i26]Guido Carnevale, Ivano Notarnicola, Lorenzo Marconi, Giuseppe Notarstefano:
Triggered Gradient Tracking for Asynchronous Distributed Optimization. CoRR abs/2203.02210 (2022) - [i25]Michelangelo Bin, Ivano Notarnicola, Thomas Parisini:
Stability, Linear Convergence, and Robustness of the Wang-Elia Algorithm for Distributed Consensus Optimization. CoRR abs/2204.10030 (2022) - [i24]Andrea Simonetto, Ivano Notarnicola:
Achievement and Fragility of Long-term Equitability. CoRR abs/2206.12333 (2022) - 2021
- [j8]Andrea Camisa, Francesco Farina, Ivano Notarnicola, Giuseppe Notarstefano:
Distributed constraint-coupled optimization via primal decomposition over random time-varying graphs. Autom. 131: 109739 (2021) - [j7]Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano:
Distributed Big-Data Optimization via Blockwise Gradient Tracking. IEEE Trans. Autom. Control. 66(5): 2045-2060 (2021) - [c11]Lorenzo Sforni, Ivano Notarnicola, Giuseppe Notarstefano:
Learning-driven Nonlinear Optimal Control via Gaussian Process Regression. CDC 2021: 4412-4417 - [i23]Lorenzo Sforni, Sara Spedicato, Ivano Notarnicola, Giuseppe Notarstefano:
GoPRONTO: a Feedback-based Framework for Nonlinear Optimal Control. CoRR abs/2108.13308 (2021) - 2020
- [j6]Alessandro Falsone, Ivano Notarnicola, Giuseppe Notarstefano, Maria Prandini:
Tracking-ADMM for distributed constraint-coupled optimization. Autom. 117: 108962 (2020) - [j5]Ivano Notarnicola, Giuseppe Notarstefano:
Constraint-Coupled Distributed Optimization: A Relaxation and Duality Approach. IEEE Trans. Control. Netw. Syst. 7(1): 483-492 (2020) - [i22]Ivano Notarnicola, Andrea Simonetto, Francesco Farina, Giuseppe Notarstefano:
Distributed Personalized Gradient Tracking with Convex Parametric Models. CoRR abs/2008.04363 (2020) - [i21]Guido Carnevale, Francesco Farina, Ivano Notarnicola, Giuseppe Notarstefano:
Distributed Online Optimization via Gradient Tracking with Adaptive Momentum. CoRR abs/2009.01745 (2020) - [i20]Andrea Camisa, Ivano Notarnicola, Giuseppe Notarstefano:
Distributed Primal Decomposition for Large-Scale MILPs. CoRR abs/2010.14446 (2020) - [i19]Andrea Camisa, Francesco Farina, Ivano Notarnicola, Giuseppe Notarstefano:
Distributed Constraint-Coupled Optimization via Primal Decomposition over Random Time-Varying Graphs. CoRR abs/2010.14489 (2020)
2010 – 2019
- 2019
- [j4]Giuseppe Notarstefano, Ivano Notarnicola, Andrea Camisa:
Distributed Optimization for Smart Cyber-Physical Networks. Found. Trends Syst. Control. 7(3): 253-383 (2019) - [j3]Ivano Notarnicola, Mauro Franceschelli, Giuseppe Notarstefano:
A Duality-Based Approach for Distributed Min-Max Optimization. IEEE Trans. Autom. Control. 64(6): 2559-2566 (2019) - [c10]Michelangelo Bin, Ivano Notarnicola, Lorenzo Marconi, Giuseppe Notarstefano:
A System Theoretical Perspective to Gradient-Tracking Algorithms for Distributed Quadratic Optimization. CDC 2019: 2994-2999 - [c9]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: 6374-6379 - [i18]Giuseppe Notarstefano, Ivano Notarnicola, Andrea Camisa:
Distributed Optimization for Smart Cyber-Physical Networks. CoRR abs/1906.10760 (2019) - [i17]Alessandro Falsone, Ivano Notarnicola, Giuseppe Notarstefano, Maria Prandini:
Tracking-ADMM for Distributed Constraint-Coupled Optimization. CoRR abs/1907.10860 (2019) - [i16]Francesco Farina, Andrea Camisa, Andrea Testa, Ivano Notarnicola, Giuseppe Notarstefano:
DISROPT: a Python Framework for Distributed Optimization. CoRR abs/1911.02410 (2019) - [i15]Michelangelo Bin, Ivano Notarnicola, Lorenzo Marconi, Giuseppe Notarstefano:
A System Theoretical Perspective to Gradient-Tracking Algorithms for Distributed Quadratic Optimization. CoRR abs/1911.06665 (2019) - 2018
- [j2]Ivano Notarnicola, Ruggero Carli, Giuseppe Notarstefano:
Distributed Partitioned Big-Data Optimization via Asynchronous Dual Decomposition. IEEE Trans. Control. Netw. Syst. 5(4): 1910-1919 (2018) - [c8]Andrea Camisa, Ivano Notarnicola, Giuseppe Notarstefano:
A Primal Decomposition Method with Suboptimality Bounds for Distributed Mixed-Integer Linear Programming. CDC 2018: 3391-3396 - [c7]Andrea Testa, Ivano Notarnicola, Giuseppe Notarstefano:
Distributed Submodular Minimization Over Networks: A Greedy Column Generation Approach. CDC 2018: 4945-4950 - [i14]Ivano Notarnicola, Giuseppe Notarstefano:
A Duality-Based Approach for Distributed Optimization with Coupling Constraints. CoRR abs/1804.09105 (2018) - [i13]Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano:
Distributed Big-Data Optimization via Block-Iterative Convexification and Averaging. CoRR abs/1805.00658 (2018) - [i12]Ivano Notarnicola, Ruggero Carli, Giuseppe Notarstefano:
Distributed Partitioned Big-Data Optimization via Asynchronous Dual Decomposition. CoRR abs/1805.08460 (2018) - [i11]Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano:
Distributed Big-Data Optimization via Block Communications. CoRR abs/1805.10654 (2018) - [i10]Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano:
Distributed Big-Data Optimization via Block-wise Gradient Tracking. CoRR abs/1808.07252 (2018) - [i9]Andrea Camisa, Ivano Notarnicola, Giuseppe Notarstefano:
A Primal Decomposition Method with Suboptimality Bounds for Distributed Mixed-Integer Linear Programming. CoRR abs/1811.03657 (2018) - [i8]Andrea Testa, Ivano Notarnicola, Giuseppe Notarstefano:
Distributed Submodular Minimization over Networks: a Greedy Column Generation Approach. CoRR abs/1812.05974 (2018) - 2017
- [j1]Ivano Notarnicola, Giuseppe Notarstefano:
Asynchronous Distributed Optimization Via Randomized Dual Proximal Gradient. IEEE Trans. Autom. Control. 62(5): 2095-2106 (2017) - [c6]Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano:
Distributed big-data optimization via block communications. CAMSAP 2017: 1-5 - [c5]Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano:
Distributed big-data optimization via block-iterative convexification and averaging. CDC 2017: 2281-2288 - [i7]Ivano Notarnicola, Florian A. Bayer, Giuseppe Notarstefano, Frank Allgöwer:
Final-State Constrained Optimal Control via a Projection Operator Approach. CoRR abs/1703.08356 (2017) - [i6]Ivano Notarnicola, Giuseppe Notarstefano:
A randomized primal distributed algorithm for partitioned and big-data non-convex optimization. CoRR abs/1703.08370 (2017) - [i5]Ivano Notarnicola, Mauro Franceschelli, Giuseppe Notarstefano:
A duality-based approach for distributed min-max optimization with application to demand side management. CoRR abs/1703.08376 (2017) - [i4]Ivano Notarnicola, Giuseppe Notarstefano:
Constraint Coupled Distributed Optimization: Relaxation and Duality Approach. CoRR abs/1711.09221 (2017) - 2016
- [c4]Ivano Notarnicola, Giuseppe Notarstefano:
A randomized primal distributed algorithm for partitioned and big-data non-convex optimization. CDC 2016: 153-158 - [c3]Ivano Notarnicola, Mauro Franceschelli, Giuseppe Notarstefano:
A duality-based approach for distributed min-max optimization with application to demand side management. CDC 2016: 1877-1882 - [c2]Ivano Notarnicola, Florian A. Bayer, Giuseppe Notarstefano, Frank Allgöwer:
Final-state constrained optimal control via a projection operator approach. ECC 2016: 148-153 - [i3]Ivano Notarnicola, Giuseppe Notarstefano:
Randomized dual proximal gradient for large-scale distributed optimization. CoRR abs/1609.05713 (2016) - [i2]Ivano Notarnicola, Mauro Franceschelli, Giuseppe Notarstefano:
A duality-based approach for distributed min-max optimization. CoRR abs/1611.09168 (2016) - 2015
- [c1]Ivano Notarnicola, Giuseppe Notarstefano:
Randomized dual proximal gradient for large-scale distributed optimization. CDC 2015: 712-717 - [i1]Ivano Notarnicola, Giuseppe Notarstefano:
Asynchronous Distributed Optimization via Randomized Dual Proximal Gradient. CoRR abs/1509.08373 (2015)
Coauthor Index
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last updated on 2024-12-10 21:43 CET by the dblp team
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