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ORCIDGiuseppe Notarstefano
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2020 – today
- 2025
[j50]Nicola Mimmo, Guido Carnevale, Andrea Testa, Giuseppe Notarstefano:
Extremum Seeking Tracking for Derivative-Free Distributed Optimization. IEEE Trans. Control. Netw. Syst. 12(1): 584-595 (2025)- [i55]Marco Borghesi, Simone Baroncini, Guido Carnevale, Alessandro Bosso, Giuseppe Notarstefano:
On Sufficient Richness for Linear Time-Invariant Systems. CoRR abs/2502.04062 (2025) - 2024
- [j49]Andrea Camisa
, Giovanni Montanari, Andrea Testa, Luigi Falzetti, Sofia Avnet, Nicola Baldini, Giuseppe Notarstefano:
Automated Detection of Spinal Lesions From CT Scans via Deep Transfer Learning. IEEE Access 12: 65310-65322 (2024) - [j48]Guido Carnevale, Nicola Mimmo, Giuseppe Notarstefano:
Nonconvex distributed feedback optimization for aggregative cooperative robotics. Autom. 167: 111767 (2024) - [j47]Guido Carnevale, Giuseppe Notarstefano:
Timescale Separation for Discrete-Time Nonlinear Stochastic Systems. IEEE Control. Syst. Lett. 8: 2133-2138 (2024) - [j46]Guido Carnevale, Filippo Fabiani, Filiberto Fele, Kostas Margellos, Giuseppe Notarstefano:
Tracking-Based Distributed Equilibrium Seeking for Aggregative Games. IEEE Trans. Autom. Control. 69(9): 6026-6041 (2024) - [j45]Nicola Mimmo, Lorenzo Marconi, Giuseppe Notarstefano:
Uniform Nonconvex Optimization via Extremum Seeking. IEEE Trans. Autom. Control. 69(12): 8263-8276 (2024) - [c69]Lorenzo Sforni, Giuseppe Notarstefano, Aaron D. Ames:
Receding Horizon CBF-Based Multi-Layer Controllers for Safe Trajectory Generation. ACC 2024: 4765-4770 - [c68]Lorenzo Pichierri, Guido Carnevale, Giuseppe Notarstefano:
Distributed Feedback Optimization for Multi-Robot Target Encirclement and Patrolling. CASE 2024: 1181-1186 - [c67]Matteo Sartoni, Andrea Testa, Andrea Pietropaolo, Carlo Ciancarelli, Giuseppe Notarstefano:
Optimal Control-Based Target Tracking for Cognitive Spaceborne Radars. CASE 2024: 1568-1573 - [c66]Alireza Olama, Guido Carnevale, Giuseppe Notarstefano, Eduardo Camponogara:
Distributed ℓ0 Sparse Aggregative Optimization. CASE 2024: 1747-1752 - [c65]Riccardo Brumali, Guido Carnevale, Ruggero Carli, Giuseppe Notarstefano:
A Distributed Algorithm for Coordination in Energy Communities. CASE 2024: 2091-2096 - [c64]A. Tramaloni, A. Testa, Sofia Avnet, Nicola Baldini, Giuseppe Notarstefano:
Biological Cell Tracking via Multi-Agent Identification and Filtering. CDC 2024: 1338-1343 - [c63]Simone Baroncini, Guido Carnevale, Bahman Gharesifard, Giuseppe Notarstefano:
A System-theoretic Note on Model-Based Actor-Critic. CDC 2024: 1929-1934 - [c62]Guido Carnevale, Filippo Fabiani, Filiberto Fele, Kostas Margellos, Giuseppe Notarstefano:
Distributed equilibrium seeking in aggregative games: linear convergence under singular perturbations lens. CDC 2024: 3918-3923 - [c61]Guido Carnevale, Ivano Notarnicola, Giuseppe Notarstefano:
Nonconvex Big-Data Optimization via System Theory: a Block-wise Incremental Gradient Method. CDC 2024: 4746-4751 - [c60]Guido Carnevale, Nicola Mimmo, Giuseppe Notarstefano:
Extremum-Seeking Policy Iteration for Data-Driven LQR. CDC 2024: 6263-6267 - [c59]Riccardo Brumali, Guido Carnevale, Giuseppe Notarstefano:
A deep learning approach for distributed aggregative optimization with users' feedback. L4DC 2024: 1552-1564 - [i54]Marco Borghesi, Alessandro Bosso, Giuseppe Notarstefano:
MR-ARL: Model Reference Adaptive Reinforcement Learning for Robustly Stable On-Policy Data-Driven LQR. CoRR abs/2402.14483 (2024) - [i53]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) - [i52]Rodrigo Aldana-López, Alessandro Macchelli, Giuseppe Notarstefano, Rosario Aragüés, Carlos Sagüés:
Towards Parameter-free Distributed Optimization: a Port-Hamiltonian Approach. CoRR abs/2404.13529 (2024) - [i51]Lorenzo Pichierri, Guido Carnevale, Lorenzo Sforni, Giuseppe Notarstefano:
Multi-Robot Target Monitoring and Encirclement via Triggered Distributed Feedback Optimization. CoRR abs/2409.20399 (2024) - [i50]Alessandro Bosso, Marco Borghesi, Andrea Iannelli, Giuseppe Notarstefano, Andrew R. Teel:
Derivative-Free Data-Driven Control of Continuous-Time Linear Time-Invariant Systems. CoRR abs/2410.24167 (2024) - [i49]Guido Carnevale, Nicola Mimmo, Giuseppe Notarstefano:
Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration. CoRR abs/2412.02758 (2024) - 2023
- [j44]Guido Carnevale, Ivano Notarnicola, Lorenzo Marconi, Giuseppe Notarstefano:
Triggered Gradient Tracking for asynchronous distributed optimization. Autom. 147: 110726 (2023) - [j43]Guido Carnevale, Giuseppe Notarstefano:
Nonconvex Distributed Optimization via Lasalle and Singular Perturbations. IEEE Control. Syst. Lett. 7: 301-306 (2023) - [j42]Lorenzo Pichierri, Andrea Testa, Giuseppe Notarstefano:
CrazyChoir: Flying Swarms of Crazyflie Quadrotors in ROS 2. IEEE Robotics Autom. Lett. 8(8): 4713-4720 (2023) - [j41]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) - [j40]Guido Carnevale, Andrea Camisa, Giuseppe Notarstefano:
Distributed Online Aggregative Optimization for Dynamic Multirobot Coordination. IEEE Trans. Autom. Control. 68(6): 3736-3743 (2023) - [j39]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) - [j38]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) - [j37]Andrea Camisa, Giuseppe Notarstefano:
A Distributed Mixed-Integer Framework to Stochastic Optimal Microgrid Control. IEEE Trans. Control. Syst. Technol. 31(1): 208-220 (2023) - [j36]Andrea Camisa, Andrea Testa, Giuseppe Notarstefano:
Multi-Robot Pickup and Delivery via Distributed Resource Allocation. IEEE Trans. Robotics 39(2): 1106-1118 (2023) - [c58]Marco Borghesi, Alessandro Bosso, Giuseppe Notarstefano:
On-Policy Data-Driven Linear Quadratic Regulator via Model Reference Adaptive Reinforcement Learning. CDC 2023: 32-37 - [c57]Guido Carnevale, Nicola Bastianello, Ruggero Carli, Giuseppe Notarstefano:
Distributed Consensus Optimization via ADMM-Tracking Gradient. CDC 2023: 290-295 - [c56]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 - [c55]Alireza Olama, Guido Carnevale, Giuseppe Notarstefano, Eduardo Camponogara:
A Tracking Augmented Lagrangian Method for ℓ0 Sparse Consensus Optimization. CoDIT 2023: 1-6 - [c54]Lorenzo Pichierri, Guido Carnevale, Lorenzo Sforni, Andrea Testa, Giuseppe Notarstefano:
A Distributed Online Optimization Strategy for Cooperative Robotic Surveillance. ICRA 2023: 5537-5543 - [i48]Lorenzo Pichierri, Andrea Testa, Giuseppe Notarstefano:
CrazyChoir: Flying Swarms of Crazyflie Quadrotors in ROS 2. CoRR abs/2302.00716 (2023) - [i47]Guido Carnevale, Nicola Mimmo, Giuseppe Notarstefano:
Nonconvex Distributed Feedback Optimization for Aggregative Cooperative Robotics. CoRR abs/2302.01892 (2023) - [i46]Lorenzo Pichierri, Guido Carnevale, Lorenzo Sforni, Andrea Testa, Giuseppe Notarstefano:
A Distributed Online Optimization Strategy for Cooperative Robotic Surveillance. CoRR abs/2304.14016 (2023) - [i45]Andrea Testa, Guido Carnevale, Giuseppe Notarstefano:
A Tutorial on Distributed Optimization for Cooperative Robotics: from Setups and Algorithms to Toolboxes and Research Directions. CoRR abs/2309.04257 (2023) - 2022
- [j35]Andrea Camisa, Ivano Notarnicola, Giuseppe Notarstefano:
Distributed Stochastic Dual Subgradient for Constraint-Coupled Optimization. IEEE Control. Syst. Lett. 6: 644-649 (2022) - [j34]Andrea Camisa, Ivano Notarnicola, Giuseppe Notarstefano:
Distributed Primal Decomposition for Large-Scale MILPs. IEEE Trans. Autom. Control. 67(1): 413-420 (2022) - [j33]Andrea Testa, Giuseppe Notarstefano:
Generalized Assignment for Multi-Robot Systems via Distributed Branch-And-Price. IEEE Trans. Robotics 38(3): 1990-2001 (2022) - [c53]Guido Carnevale, Giuseppe Notarstefano:
A Learning-based Distributed Algorithm for Personalized Aggregative Optimization. CDC 2022: 1576-1581 - [c52]Lorenzo Sforni, Andrea Camisa, Giuseppe Notarstefano:
Structured-policy Q-learning: an LMI-based Design Strategy for Distributed Reinforcement Learning. CDC 2022: 4059-4064 - [c51]Nicola Mimmo, Lorenzo Marconi, Giuseppe Notarstefano:
Uniform quasi-convex optimisation via Extremum Seeking. CDC 2022: 6306-6311 - [i44]Guido Carnevale, Ivano Notarnicola, Lorenzo Marconi, Giuseppe Notarstefano:
Triggered Gradient Tracking for Asynchronous Distributed Optimization. CoRR abs/2203.02210 (2022) - [i43]Nicola Mimmo, Lorenzo Marconi, Giuseppe Notarstefano:
Uniform quasi-convex optimisation via Extremum Seeking. CoRR abs/2204.00580 (2022) - [i42]Guido Carnevale, Filippo Fabiani, Filiberto Fele, Kostas Margellos, Giuseppe Notarstefano:
Tracking-based distributed equilibrium seeking for aggregative games. CoRR abs/2210.14547 (2022) - 2021
- [j32]Licio Romao, Kostas Margellos, Giuseppe Notarstefano, Antonis Papachristodoulou:
Subgradient averaging for multi-agent optimisation with different constraint sets. Autom. 131: 109738 (2021) - [j31]Andrea Camisa, Francesco Farina, Ivano Notarnicola, Giuseppe Notarstefano:
Distributed constraint-coupled optimization via primal decomposition over random time-varying graphs. Autom. 131: 109739 (2021) - [j30]Andrea Testa, Andrea Camisa, Giuseppe Notarstefano:
ChoiRbot: A ROS 2 Toolbox for Cooperative Robotics. IEEE Robotics Autom. Lett. 6(2): 2714-2720 (2021) - [j29]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) - [j28]Francesco Farina, Giuseppe Notarstefano:
Randomized Block Proximal Methods for Distributed Stochastic Big-Data Optimization. IEEE Trans. Autom. Control. 66(9): 4000-4014 (2021) - [j27]Mohammadreza Chamanbaz, Giuseppe Notarstefano, Francesco Sasso, Roland Bouffanais:
Randomized Constraints Consensus for Distributed Robust Mixed-Integer Programming. IEEE Trans. Control. Netw. Syst. 8(1): 295-306 (2021) - [c50]Lorenzo Sforni, Ivano Notarnicola, Giuseppe Notarstefano:
Learning-driven Nonlinear Optimal Control via Gaussian Process Regression. CDC 2021: 4412-4417 - [i41]Andrea Camisa, Andrea Testa, Giuseppe Notarstefano:
Multi-Robot Pickup and Delivery via Distributed Resource Allocation. CoRR abs/2104.02415 (2021) - [i40]Andrea Camisa, Alessia Benevento, Giuseppe Notarstefano:
Constraint-coupled Optimization with Unknown Costs: A Distributed Primal Decomposition Approach. CoRR abs/2104.06341 (2021) - [i39]Andrea Camisa, Giuseppe Notarstefano:
A Distributed Mixed-Integer Framework to Stochastic Optimal Microgrid Control. CoRR abs/2104.06346 (2021) - [i38]Guido Carnevale, Andrea Camisa, Giuseppe Notarstefano:
Distributed Online Aggregative Optimization for Dynamic Multi-robot Coordination. CoRR abs/2104.09847 (2021) - [i37]Lorenzo Sforni, Sara Spedicato, Ivano Notarnicola, Giuseppe Notarstefano:
GoPRONTO: a Feedback-based Framework for Nonlinear Optimal Control. CoRR abs/2108.13308 (2021) - [i36]Nicola Mimmo, Guido Carnevale, Andrea Testa, Giuseppe Notarstefano:
Extremum Seeking Tracking for Derivative-free Distributed Optimization. CoRR abs/2110.04234 (2021) - 2020
- [j26]Alessandro Falsone, Ivano Notarnicola, Giuseppe Notarstefano, Maria Prandini:
Tracking-ADMM for distributed constraint-coupled optimization. Autom. 117: 108962 (2020) - [j25]Giovanni Cherubini, Martin Guay, Sophie Tarbouriech, Kartik B. Ariyur, Mireille E. Broucke, Subhrakanti Dey, Christian Ebenbauer, Paolo Frasca, Bahman Gharesifard, Antoine Girard, João Manoel Gomes da Silva, Lars Grüne, Christopher M. Kellett, Usman Khan, Giuseppe Notarstefano, Luca Scardovi, Kyriakos G. Vamvoudakis:
Guest Editorial Introduction to the Special Issue of the IEEE L-CSS on Learning and Control. IEEE Control. Syst. Lett. 4(3): 710-712 (2020) - [j24]Francesco Farina, Giuseppe Notarstefano:
On the Linear Convergence Rate of the Distributed Block Proximal Method. IEEE Control. Syst. Lett. 4(3): 779-784 (2020) - [j23]Francesco Sasso, Angelo Coluccia, Giuseppe Notarstefano:
Interaction-Based Distributed Learning in Cyber-Physical and Social Networks. IEEE Trans. Autom. Control. 65(1): 223-236 (2020) - [j22]Andrea Testa, Alessandro Rucco, Giuseppe Notarstefano:
Distributed Mixed-Integer Linear Programming via Cut Generation and Constraint Exchange. IEEE Trans. Autom. Control. 65(4): 1456-1467 (2020) - [j21]Ivano Notarnicola, Giuseppe Notarstefano:
Constraint-Coupled Distributed Optimization: A Relaxation and Duality Approach. IEEE Trans. Control. Netw. Syst. 7(1): 483-492 (2020) - [c49]Alessia Benevento, María Santos, Giuseppe Notarstefano, Kamran Paynabar, Matthieu R. Bloch, Magnus Egerstedt:
Multi-Robot Coordination for Estimation and Coverage of Unknown Spatial Fields. ICRA 2020: 7740-7746 - [i35]Ivano Notarnicola, Andrea Simonetto, Francesco Farina, Giuseppe Notarstefano:
Distributed Personalized Gradient Tracking with Convex Parametric Models. CoRR abs/2008.04363 (2020) - [i34]Guido Carnevale, Francesco Farina, Ivano Notarnicola, Giuseppe Notarstefano:
Distributed Online Optimization via Gradient Tracking with Adaptive Momentum. CoRR abs/2009.01745 (2020) - [i33]Andrea Testa, Andrea Camisa, Giuseppe Notarstefano:
ChoiRbot: A ROS 2 Toolbox for Cooperative Robotics. CoRR abs/2010.13431 (2020) - [i32]Andrea Camisa, Ivano Notarnicola, Giuseppe Notarstefano:
Distributed Primal Decomposition for Large-Scale MILPs. CoRR abs/2010.14446 (2020) - [i31]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
- [j20]Francesco Farina, Andrea Garulli, Antonio Giannitrapani, Giuseppe Notarstefano:
A distributed asynchronous method of multipliers for constrained nonconvex optimization. Autom. 103: 243-253 (2019) - [j19]Giuseppe Notarstefano, Ivano Notarnicola, Andrea Camisa:
Distributed Optimization for Smart Cyber-Physical Networks. Found. Trends Syst. Control. 7(3): 253-383 (2019) - [j18]Ivano Notarnicola, Mauro Franceschelli, Giuseppe Notarstefano:
A Duality-Based Approach for Distributed Min-Max Optimization. IEEE Trans. Autom. Control. 64(6): 2559-2566 (2019) - [j17]Nicoletta Bof, Ruggero Carli, Giuseppe Notarstefano, Luca Schenato, Damiano Varagnolo:
Multiagent Newton-Raphson Optimization Over Lossy Networks. IEEE Trans. Autom. Control. 64(7): 2983-2990 (2019) - [c48]Michelangelo Bin, Ivano Notarnicola, Lorenzo Marconi, Giuseppe Notarstefano:
A System Theoretical Perspective to Gradient-Tracking Algorithms for Distributed Quadratic Optimization. CDC 2019: 2994-2999 - [c47]Francesco Farina, Giuseppe Notarstefano:
A Randomized Block Subgradient Approach to Distributed Big Data Optimization. CDC 2019: 6362-6367 - [c46]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 - [c45]Licio Romao, Kostas Margellos, Giuseppe Notarstefano, Antonis Papachristodoulou:
Convergence rate analysis of a subgradient averaging algorithm for distributed optimisation with different constraint sets. CDC 2019: 7448-7453 - [c44]Andrea Camisa, Giuseppe Notarstefano:
Primal Decomposition and Constraint Generation for Asynchronous Distributed Mixed-Integer Linear Programming. ECC 2019: 77-82 - [c43]Sarnavi Mahesh, Sara Spedicato, Giuseppe Notarstefano:
A Sparse Polytopic LPV Controller for Fully-Distributed Nonlinear Optimal Control. ECC 2019: 554-559 - [i30]Francesco Farina, Andrea Testa, Giuseppe Notarstefano:
Distributed Submodular Minimization via Block-Wise Updates and Communications. CoRR abs/1905.13682 (2019) - [i29]Giuseppe Notarstefano, Ivano Notarnicola, Andrea Camisa:
Distributed Optimization for Smart Cyber-Physical Networks. CoRR abs/1906.10760 (2019) - [i28]Mohammadreza Chamanbaz, Giuseppe Notarstefano, Francesco Sasso, Roland Bouffanais:
Randomized Constraints Consensus for Distributed Robust Mixed-Integer Programming. CoRR abs/1907.04691 (2019) - [i27]Alessandro Falsone, Ivano Notarnicola, Giuseppe Notarstefano, Maria Prandini:
Tracking-ADMM for Distributed Constraint-Coupled Optimization. CoRR abs/1907.10860 (2019) - [i26]Francesco Farina, Andrea Camisa, Andrea Testa, Ivano Notarnicola, Giuseppe Notarstefano:
DISROPT: a Python Framework for Distributed Optimization. CoRR abs/1911.02410 (2019) - [i25]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
- [j16]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) - [j15]Sara Spedicato, Giuseppe Notarstefano:
Minimum-Time Trajectory Generation for Quadrotors in Constrained Environments. IEEE Trans. Control. Syst. Technol. 26(4): 1335-1344 (2018) - [c42]Andrea Camisa, Ivano Notarnicola, Giuseppe Notarstefano:
A Primal Decomposition Method with Suboptimality Bounds for Distributed Mixed-Integer Linear Programming. CDC 2018: 3391-3396 - [c41]Andrea Testa, Ivano Notarnicola, Giuseppe Notarstefano:
Distributed Submodular Minimization Over Networks: A Greedy Column Generation Approach. CDC 2018: 4945-4950 - [c40]Francesco Sasso, Angelo Coluccia, Giuseppe Notarstefano:
Distributed Learning from Interactions in Social Networks. ECC 2018: 2200-2205 - [c39]Francesco Sasso, Angelo Coluccia, Giuseppe Notarstefano:
An Empirical Bayes Approach for Distributed Estimation of Spatial Fields. ECC 2018: 2206-2211 - [c38]Francesco Farina, Andrea Garulli, Antonio Giannitrapani, Giuseppe Notarstefano:
Asynchronous Distributed Method of Multipliers for Constrained Nonconvex optimization. ECC 2018: 2535-2540 - [i24]Ivano Notarnicola, Giuseppe Notarstefano:
A Duality-Based Approach for Distributed Optimization with Coupling Constraints. CoRR abs/1804.09105 (2018) - [i23]Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano:
Distributed Big-Data Optimization via Block-Iterative Convexification and Averaging. CoRR abs/1805.00658 (2018) - [i22]Ivano Notarnicola, Ruggero Carli, Giuseppe Notarstefano:
Distributed Partitioned Big-Data Optimization via Asynchronous Dual Decomposition. CoRR abs/1805.08460 (2018) - [i21]Francesco Sasso, Angelo Coluccia, Giuseppe Notarstefano:
An Empirical Bayes Approach for Distributed Estimation of Spatial Fields. CoRR abs/1805.08590 (2018) - [i20]Smriti Chopra, Giuseppe Notarstefano, Matthew Rice, Magnus Egerstedt:
A Distributed Version of the Hungarian Method for Multi-Robot Assignment. CoRR abs/1805.08712 (2018) - [i19]Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano:
Distributed Big-Data Optimization via Block Communications. CoRR abs/1805.10654 (2018) - [i18]Francesco Sasso, Angelo Coluccia, Giuseppe Notarstefano:
Distributed Learning from Interactions in Social Networks. CoRR abs/1806.01003 (2018) - [i17]Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano:
Distributed Big-Data Optimization via Block-wise Gradient Tracking. CoRR abs/1808.07252 (2018) - [i16]Andrea Camisa, Ivano Notarnicola, Giuseppe Notarstefano:
A Primal Decomposition Method with Suboptimality Bounds for Distributed Mixed-Integer Linear Programming. CoRR abs/1811.03657 (2018) - [i15]Andrea Testa, Ivano Notarnicola, Giuseppe Notarstefano:
Distributed Submodular Minimization over Networks: a Greedy Column Generation Approach. CoRR abs/1812.05974 (2018) - 2017
- [j14]Ivano Notarnicola, Giuseppe Notarstefano:
Asynchronous Distributed Optimization Via Randomized Dual Proximal Gradient. IEEE Trans. Autom. Control. 62(5): 2095-2106 (2017) - [j13]Smriti Chopra, Giuseppe Notarstefano, Matthew Rice, Magnus Egerstedt:
A Distributed Version of the Hungarian Method for Multirobot Assignment. IEEE Trans. Robotics 33(4): 932-947 (2017) - [c37]Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano:
Distributed big-data optimization via block communications. CAMSAP 2017: 1-5 - [c36]Mohammadreza Chamanbaz, Giuseppe Notarstefano, Roland Bouffanais:
A randomized distributed ellipsoid algorithm for uncertain feasibility problems. CDC 2017: 1305-1310 - [c35]Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano:
Distributed big-data optimization via block-iterative convexification and averaging. CDC 2017: 2281-2288 - [c34]Andrea Testa, Alessandro Rucco, Giuseppe Notarstefano:
A finite-time cutting plane algorithm for distributed mixed integer linear programming. CDC 2017: 3847-3852 - [i14]Giuseppe Notarstefano:
A core-set approach for distributed quadratic programming in big-data classification. CoRR abs/1702.04538 (2017) - [i13]Angelo Coluccia, Giuseppe Notarstefano:
A Bayesian framework for distributed estimation of arrival rates in asynchronous networks. CoRR abs/1702.04939 (2017) - [i12]Ivano Notarnicola, Florian A. Bayer, Giuseppe Notarstefano, Frank Allgöwer:
Final-State Constrained Optimal Control via a Projection Operator Approach. CoRR abs/1703.08356 (2017) - [i11]Ivano Notarnicola, Giuseppe Notarstefano:
A randomized primal distributed algorithm for partitioned and big-data non-convex optimization. CoRR abs/1703.08370 (2017) - [i10]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) - [i9]Francesco Sasso, Angelo Coluccia, Giuseppe Notarstefano:
Interaction-Based Distributed Learning in Cyber-Physical and Social Networks. CoRR abs/1706.04081 (2017) - [i8]Ivano Notarnicola, Giuseppe Notarstefano:
Constraint Coupled Distributed Optimization: Relaxation and Duality Approach. CoRR abs/1711.09221 (2017) - 2016
- [j12]Angelo Coluccia, Giuseppe Notarstefano:
A Bayesian Framework for Distributed Estimation of Arrival Rates in Asynchronous Networks. IEEE Trans. Signal Process. 64(15): 3984-3996 (2016) - [c33]Ivano Notarnicola, Giuseppe Notarstefano:
A randomized primal distributed algorithm for partitioned and big-data non-convex optimization. CDC 2016: 153-158 - [c32]Sara Spedicato, Giuseppe Notarstefano:
Computing minimum-time trajectories for quadrotors via transverse coordinates. CDC 2016: 239-244 - [c31]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 - [c30]Ivano Notarnicola, Florian A. Bayer, Giuseppe Notarstefano, Frank Allgöwer:
Final-state constrained optimal control via a projection operator approach. ECC 2016: 148-153 - [c29]Sara Spedicato, Antonio Franchi, Giuseppe Notarstefano:
From tracking to robust maneuver regulation: An easy-to-design approach for VTOL aerial robots. ICRA 2016: 2965-2970 - [i7]Ivano Notarnicola, Giuseppe Notarstefano:
Randomized dual proximal gradient for large-scale distributed optimization. CoRR abs/1609.05713 (2016) - [i6]Sara Spedicato, Antonio Franchi, Giuseppe Notarstefano:
From Tracking to Robust Maneuver Regulation: an Easy-to-Design Approach for VTOL Aerial Robots. CoRR abs/1610.01496 (2016) - [i5]Ivano Notarnicola, Mauro Franceschelli, Giuseppe Notarstefano:
A duality-based approach for distributed min-max optimization. CoRR abs/1611.09168 (2016) - 2015
- [j11]Dario Bauso, Giuseppe Notarstefano:
Distributed n-Player Approachability and Consensus in Coalitional Games. IEEE Trans. Autom. Control. 60(11): 3107-3112 (2015) - [j10]Alessandro Rucco, Giuseppe Notarstefano, John Hauser:
An Efficient Minimum-Time Trajectory Generation Strategy for Two-Track Car Vehicles. IEEE Trans. Control. Syst. Technol. 23(4): 1505-1519 (2015) - [c28]Ruggero Carli, Giuseppe Notarstefano, Luca Schenato, Damiano Varagnolo:
Analysis of Newton-Raphson consensus for multi-agent convex optimization under asynchronous and lossy communications. CDC 2015: 418-424 - [c27]Ivano Notarnicola, Giuseppe Notarstefano:
Randomized dual proximal gradient for large-scale distributed optimization. CDC 2015: 712-717 - [c26]Giuseppe Notarstefano:
A core-set approach for distributed quadratic programming in big-data classification. CDC 2015: 1372-1377 - [c25]Ruggero Carli, Giuseppe Notarstefano, Luca Schenato, Damiano Varagnolo:
Distributed quadratic programming under asynchronous and lossy communications via Newton-Raphson consensus. ECC 2015: 2514-2520 - [i4]Ivano Notarnicola, Giuseppe Notarstefano:
Asynchronous Distributed Optimization via Randomized Dual Proximal Gradient. CoRR abs/1509.08373 (2015) - 2014
- [j9]Alessandro Rucco, Giuseppe Notarstefano, John Hauser:
Development and numerical validation of a reduced-order two-track car model. Eur. J. Control 20(4): 163-171 (2014) - [j8]Mathias Bürger, Giuseppe Notarstefano, Frank Allgöwer:
A Polyhedral Approximation Framework for Convex and Robust Distributed Optimization. IEEE Trans. Autom. Control. 59(2): 384-395 (2014) - [j7]Alessandro Rucco, Giuseppe Notarstefano, John Hauser:
Optimal Control Based Dynamics Exploration of a Rigid Car With Longitudinal Load Transfer. IEEE Trans. Control. Syst. Technol. 22(3): 1070-1077 (2014) - [c24]Angelo Coluccia, Giuseppe Notarstefano:
Distributed Bayesian estimation of arrival rates in asynchronous monitoring networks. ICASSP 2014: 5050-5054 - 2013
- [j6]Giuseppe Notarstefano, Gianfranco Parlangeli:
Controllability and Observability of Grid Graphs via Reduction and Symmetries. IEEE Trans. Autom. Control. 58(7): 1719-1731 (2013) - [c23]Ruggero Carli, Giuseppe Notarstefano:
Distributed partition-based optimization via dual decomposition. CDC 2013: 2979-2984 - [c22]Florian A. Bayer, Giuseppe Notarstefano, Frank Allgöwer:
A projected SQP method for nonlinear optimal control with quadratic convergence. CDC 2013: 6463-6468 - [c21]Angelo Coluccia, Giuseppe Notarstefano:
Distributed estimation of binary event probabilities via hierarchical Bayes and dual decomposition. CDC 2013: 6753-6758 - [c20]Alessandro Rucco, Giuseppe Notarstefano, John Hauser:
On a reduced-order two-track car model including longitudinal and lateral load transfer. ECC 2013: 980-985 - [c19]Mathias Bürger, Giuseppe Notarstefano, Frank Allgöwer:
From non-cooperative to cooperative distributed MPC: A simplicial approximation perspective. ECC 2013: 2795-2800 - [c18]Sara Spedicato, Giuseppe Notarstefano, Heinrich H. Bülthoff, Antonio Franchi:
Aggressive Maneuver Regulation of a Quadrotor UAV. ISRR 2013: 95-112 - [c17]Alessandro Rucco, John Hauser, Giuseppe Notarstefano:
Non-Existence of Minimizing Trajectories for Steer-Braking Systems. NOLCOS 2013: 205-210 - [i3]Mathias Bürger, Giuseppe Notarstefano, Frank Allgöwer:
A Polyhedral Approximation Framework for Convex and Robust Distributed Optimization. CoRR abs/1303.6092 (2013) - 2012
- [j5]Mathias Bürger, Giuseppe Notarstefano, Francesco Bullo, Frank Allgöwer:
A distributed simplex algorithm for degenerate linear programs and multi-agent assignments. Autom. 48(9): 2298-2304 (2012) - [j4]Gianfranco Parlangeli, Giuseppe Notarstefano:
On the Reachability and Observability of Path and Cycle Graphs. IEEE Trans. Autom. Control. 57(3): 743-748 (2012) - [c16]Alessandro Rucco, Giuseppe Notarstefano, John Hauser:
Computing minimum lap-time trajectories for a single-track car with load transfer. CDC 2012: 6321-6326 - [c15]Mathias Bürger, Giuseppe Notarstefano, Frank Allgöwer:
Distributed robust optimization via Cutting-Plane Consensus. CDC 2012: 7457-7463 - 2011
- [j3]Giuseppe Notarstefano, Magnus Egerstedt, Musad A. Haque:
Containment in leader-follower networks with switching communication topologies. Autom. 47(5): 1035-1040 (2011) - [j2]Giuseppe Notarstefano, Francesco Bullo:
Distributed Abstract Optimization via Constraints Consensus: Theory and Applications. IEEE Trans. Autom. Control. 56(10): 2247-2261 (2011) - [c14]Mathias Bürger, Giuseppe Notarstefano, Frank Allgöwer, Francesco Bullo:
A distributed simplex algorithm and the multi-agent assignment problem. ACC 2011: 2639-2644 - [c13]Mathias Bürger, Giuseppe Notarstefano, Frank Allgöwer:
Locally constrained decision making via two-stage distributed simplex. CDC/ECC 2011: 5911-5916 - [c12]Giuseppe Notarstefano, Gianfranco Parlangeli:
Observability and reachability of grid graphs via reduction and symmetries. CDC/ECC 2011: 5923-5928 - [c11]Enrico Russo, Giuseppe Notarstefano, John Hauser:
Dynamics exploration and aggressive maneuvering of a Longitudinal Vectored Thrust VTOL aircraft. CDC/ECC 2011: 8106-8111 - [i2]Gianfranco Parlangeli, Giuseppe Notarstefano:
On the reachability and observability of path and cycle graphs. CoRR abs/1109.3556 (2011) - 2010
- [c10]Gianfranco Parlangeli, Giuseppe Notarstefano:
On the observability of path and cycle graphs. CDC 2010: 1492-1497 - [c9]Alessandro Rucco, Giuseppe Notarstefano, John Hauser:
Dynamics exploration of a single-track rigid car model with load transfer. CDC 2010: 4934-4939
2000 – 2009
- 2009
- [j1]Ketan Savla, Giuseppe Notarstefano, Francesco Bullo:
Maintaining Limited-Range Connectivity Among Second-Order Agents. SIAM J. Control. Optim. 48(1): 187-205 (2009) - [c8]Giuseppe Notarstefano, Magnus Egerstedt, Musad A. Haque:
Rendezvous with multiple, intermittent leaders. CDC 2009: 3733-3738 - [i1]Giuseppe Notarstefano, Francesco Bullo:
Distributed Abstract Optimization via Constraints Consensus: Theory and Applications. CoRR abs/0910.5816 (2009) - 2008
- [c7]Giuseppe Notarstefano, John Hauser:
On the curvature of the trajectory manifold of nonlinear systems. CDC 2008: 1151-1156 - [c6]Giuseppe Notarstefano, Paola Pedone:
Distributed minimum time servicing for a team of Dubins vehicles. CDC 2008: 3083-3088 - 2007
- [c5]Giuseppe Notarstefano, Francesco Bullo:
Network abstract linear programming with application to minimum-time formation control. CDC 2007: 927-932 - 2006
- [c4]Giuseppe Notarstefano, Ketan Savla, Francesco Bullo, Ali Jadbabaie:
Maintaining limited-range connectivity among second-order agents. ACC 2006: 1-6 - [c3]Giuseppe Notarstefano, Francesco Bullo:
Distributed consensus on enclosing shapes and minimum time rendezvous. CDC 2006: 4295-4300 - 2005
- [c2]Giuseppe Notarstefano, Maura Pasquotti, Ruggero Frezza:
Path Following of a Rolling Disk Using Throttle Only. ISIC 2005: 680-685 - [c1]Giuseppe Notarstefano, John Hauser, Ruggero Frezza:
Trajectory Manifold Exploration for the PVTOL aircraft. CDC/ECC 2005: 5848-5853
Coauthor Index
[c61] [i53] [j44] [j41] [j39] [j38] [c56] [j35] [j34] [i44] [j31] [j29] [c50] [i37] [j26] [j21] [i35] [i34] [i32] [i31] [j19] [j18] [c48] [c46] [i29] [i27] [i26] [i25] [j16] [c42] [c41] [i24] [i23] [i22] [i19] [i17] [i16] [i15] [j14] [c37] [c35] [i12] [i11] [i10] [i8] [c33] [c31] [c30] [i7] [i5] [c27] [i4]
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