All publications sorted by articles and proceedings

  1. A. Camisa, I. Notarnicola, and G. Notarstefano. Distributed Stochastic Dual Subgradient for Constraint-Coupled Optimization. IEEE Control Systems Letters, 6:644-649, 2022. Note: [Download], [DOI: 10.1109/LCSYS.2021.3084531], [arXiv]. Keywords: Distributed Optimization.
  2. A. Camisa, F. Farina, I. Notarnicola, and G. Notarstefano. Distributed constraint-coupled optimization via primal decomposition over random time-varying graphs. Automatica, 131:109739, 2021. Note: [Download], [DOI: 10.1016/j.automatica.2021.109739], [arXiv]. Keywords: Distributed Optimization.
  3. A. Camisa, I. Notarnicola, and G. Notarstefano. Distributed primal decomposition for large-scale MILPs. IEEE Transactions on Automatic Control, 2021. Note: [Download], [DOI: 10.1109/TAC.2021.3057061], [arXiv]. Keywords: Distributed Optimization.
  4. M. Chamanbaz, G. Notarstefano, F. Sasso, and R. Bouffanais. Randomized Constraints Consensus for Distributed Robust Mixed-Integer Programming. IEEE Transactions on Control of Network Systems, 8(1):295-306, 2021. Note: [Download], [DOI: 10.1109/TCNS.2020.3024483], [arXiv]. Keywords: Distributed Optimization.
  5. F. Farina and G. Notarstefano. Randomized Block Proximal Methods for Distributed Stochastic Big-Data Optimization. IEEE Transactions on Automatic Control, 66(9):4000-4014, 2021. Note: [Download], [DOI: 10.1109/TAC.2020.3027647], [arXiv]. Keywords: Distributed Optimization.
  6. I. Notarnicola, Y. Sun, G. Scutari, and G. Notarstefano. Distributed Big-Data Optimization via Block-wise Gradient Tracking. IEEE Transactions on Automatic Control, 66(5):2045-2060, 2021. Note: [Download], [DOI: 10.1109/TAC.2020.3008713], [arXiv]. Keywords: Distributed Optimization.
  7. L. Sforni, S. Spedicato, I. Notarnicola, and G. Notarstefano. GoPRONTO: a Feedback-based Framework for Nonlinear Optimal Control. 2021. Note: Submitted for journal publication, [arXiv]. Keywords: Distributed Optimization, Optimal control.
  8. A. Testa, A. Camisa, and G. Notarstefano. ChoiRbot: A ROS 2 toolbox for cooperative robotics. IEEE Robotics and Automation Letters, 6(2):2714-2720, 2021. Note: [Download], [DOI: 10.1109/LRA.2021.3061366], [arXiv] .
  9. G. Carnevale, F. Farina, I. Notarnicola, and G. Notarstefano. Distributed online optimization via gradient tracking with adaptive momentum. 2020. Note: Submitted for journal publication, [arXiv]. Keywords: Distributed Optimization, Estimation and Learning.
  10. A. Falsone, I. Notarnicola, G. Notarstefano, and M. Prandini. Tracking-ADMM for Distributed Constraint-Coupled Optimization. Automatica, 117, 2020. Note: [Download], [DOI: 10.1016/j.automatica.2020.108962], [arXiv]. Keywords: Distributed Optimization.
  11. F. Farina and G. Notarstefano. On the Linear Convergence Rate of the Distributed Block Proximal Method. IEEE Control Systems Letters, 2020. Note: [Download], [DOI: 10.1109/LCSYS.2020.2976311], [arXiv].
  12. I. Notarnicola and G. Notarstefano. Constraint-Coupled Distributed Optimization: a Relaxation and Duality Approach. IEEE Transactions on Control of Network Systems, 7(1):483-492, 2020. Note: [Download], [DOI: 10.1109/TCNS.2019.2925267], [arXiv]. Keywords: Distributed Optimization.
  13. I. Notarnicola, A. Simonetto, F. Farina, and G. Notarstefano. Distributed personalized gradient tracking with convex parametric models. 2020. Note: Provisionally accepted for TAC, [arXiv]. Keywords: Distributed Optimization, Estimation and Learning.
  14. F. Sasso, A. Coluccia, and G. Notarstefano. Interaction-Based Distributed Learning in Cyber-Physical and Social Networks. IEEE Transactions on Automatic Control, 65(1):223 - 236, 2020. Note: [Download], [DOI: 10.1109/TAC.2019.2917715], [arXiv]. Keywords: Distributed Optimization, Estimation and Learning.
  15. A. Testa and G. Notarstefano. Generalized assignment for multi-robot systems via distributed branch-and-price. 2020. Note: Provisionally accepted for TRO, [arXiv].
  16. A. Testa, A. Rucco, and G. Notarstefano. Distributed Mixed-Integer Linear Programming via Cut Generation and Constraint Exchange. IEEE Transactions on Automatic Control, 65(4):1456-1467, 2020. Note: [Download], [DOI: 1109/TAC.2019.2920812], [arXiv]. Keywords: Distributed Optimization, Optimization.
  17. N. Bof, R. Carli, G. Notarstefano, L. Schenato, and D. Varagnolo. Multiagent Newton-Raphson Optimization Over Lossy Networks. IEEE Transactions on Automatic Control, 64(7):2983-2990, 2019. Note: [Download], [DOI: 10.1109/TAC.2018.2874748], [arXiv]. Keywords: Distributed Optimization, Estimation and Learning.
  18. F. Farina, A. Garulli, A. Giannitrapani, and G. Notarstefano. A distributed asynchronous method of multipliers for constrained nonconvex optimization. Automatica, 103:243-253, 2019. Note: [Download], [DOI: 10.1016/j.automatica.2019.02.003], [arXiv]. Keywords: Distributed Optimization, Estimation and Learning.
  19. G. Notarstefano, I. Notarnicola, and A. Camisa. Distributed Optimization for Smart Cyber-Physical Networks. Foundations and Trends in Systems and Control, 7(3):253-383, 2019. Note: [Download], [DOI: 10.1561/2600000020], [arXiv]. Keywords: Distributed Optimization, Estimation and Learning, Decision and Control.
  20. I. Notarnicola, M. Franceschelli, and G. Notarstefano. A duality-based approach for distributed min-max optimization. IEEE Transactions on Automatic Control, 64(6):2259-2566, 2018. Note: [Download], [DOI: 10.1109/TAC.2018.2872200], [arXiv]. Keywords: Distributed Optimization, Decision and Control.
  21. S. Spedicato and G. Notarstefano. Minimum-time trajectory generation for quadrotors in constrained environments. IEEE Transactions on Control Systems Technology, 26(4):1335-1344, 2018. Note: [Download], [DOI: 10.1109/TCST.2017.2709268], [arXiv]. Keywords: Aerial robotics, Optimal control.
  22. S. Chopra, G. Notarstefano, M. Rice, and M. Egerstedt. A Distributed Version of the Hungarian Method for Multirobot Assignment. IEEE Transactions on Robotics, 33(4):932-947, 2017. Note: [Download], [DOI: 10.1109/TRO.2017.2693377], [arXiv]. Keywords: Distributed Optimization, Robotic Networks.
  23. I. Notarnicola, R. Carli, and G. Notarstefano. Distributed Partitioned Big-Data Optimization via Asynchronous Dual Decomposition. IEEE Transactions on Control of Network Systems, 5(4):1910-1919, 2017. Note: [Download], [DOI: 10.1109/TCNS.2017.2774010], [arXiv]. Keywords: Distributed Optimization, Decision and Control, Estimation and Learning.
  24. I. Notarnicola and G. Notarstefano. Asynchronous Distributed Optimization via Randomized Dual Proximal Gradient. IEEE Transactions on Automatic Control, 62(5):2095-2106, 2017. Note: [Download], [DOI: 10.1109/TAC.2016.2607023], [arXiv]. Keywords: Distributed Optimization, Estimation and Learning, Decision and Control.
  25. S. Spedicato and G. Notarstefano. An optimal control approach to the design of periodic orbits for mechanical systems with impacts. Nonlinear Analysis: Hybrid Systems, 23:111 - 121, 2017. Note: [Download], [DOI: 10.1016/j.nahs.2016.08.009], [arXiv]. Keywords: Optimal Control.
  26. A. Coluccia and G. Notarstefano. A Bayesian framework for distributed estimation of arrival rates in asynchronous networks. IEEE Transactions on Signal Processing, 64(15):3984 - 3996, 2016. Note: [Download], [DOI: 10.1109/TSP.2016.2557313], [arXiv]. Keywords: Estimation and Learning, Distributed Optimization, Robotic Networks.
  27. L. Sforni, I. Notarnicola, and G. Notarstefano. Learning-driven Nonlinear Optimal Control via Gaussian Process Regression. In IEEE Conf. on Decision and Control, 2021. Note: (to appear). Keywords: Estimation and Learning, Optimal control.
  28. A. Benevento, M. Santos, G. Notarstefano, K. Paynabar, M. Bloch, and M. Egerstedt. Multi-robot coordination for estimation and coverage of unknown spatial fields. In IEEE Int. Conf. on Robotics and Automation, pages 7740-7746, 2020. IEEE. Note: [Download], [DOI: 10.1109/ICRA40945.2020.9197487]. Keywords: Optimization, Gaussian Processes.
  29. A. Camisa, P. Kohler, M. Muller, G. Notarstefano, and F. Allgower. A distributed optimization algorithm for Nash bargaining in multi-agent systems. In IFAC World Congress, volume 53, pages 2684-2689, 2020. Note: [Download], [DOI: 10.1016/j.ifacol.2020.12.402], [arXiv].
  30. G. Carnevale, M. Bin, I. Notarnicola, L. Marconi, and G. Notarstefano. Enhanced Gradient Tracking Algorithms for Distributed Quadratic Optimization via Sparse Gain Design. In IFAC World Congress, volume 53, pages 2696-2701, 2020. Elsevier. Note: [Download], [DOI: 10.1016/j.ifacol.2020.12.405], [arXiv].
  31. A. Falsone, I. Notarnicola, G. Notarstefano, and M. Prandini. Combining ADMM and tracking over networks for distributed constraint-coupled optimization. In IFAC World Congress, volume 53, pages 2654-2659, 2020. Elsevier. Note: [Download], [DOI: 10.1016/j.ifacol.2020.12.380], [arXiv].
  32. F. Farina, A. Camisa, A. Testa, I. Notarnicola, and G. Notarstefano. Disropt: a Python framework for distributed optimization. In IFAC World Congress, volume 53, pages 2666-2671, 2020. Note: [Download], [DOI: 10.1016/j.ifacol.2020.12.382], [arXiv].
  33. A. Testa, F. Farina, and G. Notarstefano. Distributed Submodular Minimization via Block-Wise Updates and Communications. In IFAC World Congress, volume 53, pages 2678-2683, 2020. Note: [Download], [DOI: 10.1016/j.ifacol.2020.12.386], [arXiv].
  34. M. Bin, I. Notarnicola, L. Marconi, and G. Notarstefano. A System Theoretical Perspective to Gradient-Tracking Algorithms for Distributed Quadratic Optimization. In IEEE Conf. on Decision and Control, Nice, France, pages 2994-2999, 2019. Note: [Download], [DOI: 10.1109/CDC40024.2019.9029824], [arXiv]. Keywords: Distributed Optimization.
  35. A. Camisa, F. Farina, I. Notarnicola, and G. Notarstefano. Distributed Constraint-Coupled Optimization over Random Time-Varying Graphs via Primal Decomposition and Block Subgradient Approaches. In IEEE Conf. on Decision and Control, Nice, France, pages 6374-6379, 2019. Note: [Download], [DOI: 10.1109/CDC40024.2019.9029689], [arXiv]. Keywords: Distributed Optimization, Optimization.
  36. A. Camisa and G. Notarstefano. A Distributed Primal Decomposition Scheme for Nonconvex Optimization. In IFAC Workshop on Distributed Estimation and Control in Networked Systems, volume 52, pages 315 - 320, 2019. Note: [Download], [DOI: 10.1016/j.ifacol.2019.12.174], [arXiv].
  37. A. Camisa and G. Notarstefano. Primal Decomposition and Constraint Generation for Asynchronous Distributed Mixed-Integer Linear Programming. In European Control Conference, Naples, Italy, pages 77-82, 2019. Note: [Download], [DOI: 10.23919/ECC.2019.8796116], [arXiv]. Keywords: Distributed Optimization.
  38. F. Farina and G. Notarstefano. A Randomized Block Subgradient Approach to Distributed Big Data Optimization. In IEEE Conf. on Decision and Control, Nice, France, pages 6362-6367, 2019. Note: [Download], [DOI: 10.1109/CDC40024.2019.9030156], [arXiv]. [doi:10.1109/CDC40024.2019.9030156] Keywords: Distributed Optimization.
  39. L. Romao, K. Margellos, G. Notarstefano, and A. Papachristodoulou. Convergence rate analysis of a subgradient averaging algorithm for distributed optimisation with different constraint sets. In IEEE Conf. on Decision and Control, Nice, France, pages 7448-7453, 2019. Note: [Download], [DOI: 10.1109/CDC40024.2019.9029252], [arXiv]. Keywords: Distributed Optimization.
  40. S. Spedicato, S. Mahesh, and G. Notarstefano. A Sparse Polytopic LPV Controller for Fully-Distributed Nonlinear Optimal Control. In European Control Conference, Naples, Italy, pages 554-559, 2019. Note: [Download], [DOI: 10.23919/ECC.2019.8795807], [arXiv]. Keywords: Optimal Control, Distributed Optimization.
  41. A. Camisa, I. Notarnicola, and G. Notarstefano. A Primal Decomposition Method with Suboptimality Bounds for Distributed Mixed-Integer Linear Programming. In IEEE Conf. on Decision and Control, Miami, USA, pages 3391-3396, 2018. Note: [Download], [DOI: 10.1109/CDC.2018.8619597], [arXiv]. Keywords: Distributed Optimization, Optimization.
  42. F. Farina, A. Garulli, A. Giannitrapani, and G. Notarstefano. Asynchronous Distributed Method of Multipliers for Constrained Nonconvex Optimization. In European Control Conference, Limassol, Cyprus, pages 2535-2540, 2018. Note: [Download], [DOI: 10.23919/ECC.2018.8550098], [arXiv]. Keywords: Distributed Optimization, Robotic Networks.
  43. F. Sasso, A. Coluccia, and G. Notarstefano. An Empirical Bayes Approach for Distributed Estimation of Spatial Fields. In European Control Conference, Limassol, Cyprus, pages 2206-2211, 2018. Note: [Download], [DOI: 10.23919/ECC.2018.8550231], [arXiv]. Keywords: Distributed Optimization, Estimation and Learning.
  44. F. Sasso, A. Coluccia, and G. Notarstefano. Distributed Learning from Interactions in Social Networks. In European Control Conference, Limassol, Cyprus, pages 2200-2205, 2018. Note: [Download], [DOI: 10.23919/ECC.2018.8550320], [arXiv]. Keywords: Distributed Optimization, Estimation and Learning.
  45. S. Spedicato and G. Notarstefano. Cloud-assisted Distributed Nonlinear Optimal Control for Dynamics over Graph. In IFAC Workshop on Distributed Estimation and Control in Networked Systems, volume 51, Groningen, the Netherlands, pages 361-366, 2018. Elsevier. Note: [Download], [DOI: 10.1016/j.ifacol.2018.12.062], [arXiv]. Keywords: Distributed Optimization, Optimal control.
  46. A. Testa, I. Notarnicola, and G. Notarstefano. Distributed Submodular Minimization over Networks: a Greedy Column Generation Approach. In IEEE Conf. on Decision and Control, Miami, USA, pages 4945-4950, 2018. Note: [Download], [DOI: 10.1109/CDC.2018.8618958], [arXiv] . Keywords: Distributed Optimization.
  47. M. Chamanbaz, G. Notarstefano, and R. Bouffanais. A Randomized Distributed Ellipsoid Algorithm for Uncertain Feasibility Problems. In IEEE Conf. on Decision and Control, Melbourne, Australia, pages 1305-1310, 2017. Note: [Download], [DOI: 10.1109/CDC.2017.8263835]. Keywords: Distributed Optimization, Robotic Networks.
  48. M. Chamanbaz, G. Notarstefano, and R. Bouffanais. Randomized Constraints Consensus for Distributed Robust Linear Programming. In IFAC World Congress, Toulouse, France, pages 4973-4978, 2017. Note: [Download], [DOI: 10.1016/j.ifacol.2017.08.763], [arXiv]. Keywords: Distributed Optimization, Robotic Networks.
  49. I. Notarnicola and G. Notarstefano. A duality-based approach for distributed optimization with coupling constraints. In IFAC World Congress, Toulouse, France, pages 14326-14331, 2017. Note: [Download], [DOI: 10.1016/j.ifacol.2017.08.1874], [arXiv]. Keywords: Distributed Optimization, Decision and Control.
  50. I. Notarnicola, Y. Sun, G. Scutari, and G. Notarstefano. Distributed Big-Data Optimization Via Block Communications. In IEEE 7th International Workshop on Computational Advances in Multi- Sensor Adaptive Processing (CAMSAP), Curacao, Dutch Antilles, pages 557-561, 2017. Note: [Download], [DOI: 10.1109/CAMSAP.2017.8313176], [arXiv]. Keywords: Distributed Optimization, Robotic Networks.
  51. I. Notarnicola, Y. Sun, G. Scutari, and G. Notarstefano. Distributed Big-Data Optimization Via Block-Iterative Convexification and Averaging. In IEEE Conf. on Decision and Control, Melbourne, Australia, pages 2281-2288, 2017. Note: [Download], [DOI: 10.1109/CDC.2017.8263982], [arXiv]. Keywords: Distributed Optimization, Robotic Networks.
  52. A. Testa, A. Rucco, and G. Notarstefano. A Finite-Time Cutting Plane Algorithm for Distributed Mixed Integer Linear Programming. In IEEE Conf. on Decision and Control, Melbourne, Australia, pages 3847-3852, 2017. Note: [Download], [DOI: 10.1109/CDC.2017.8264225], [arXiv]. Keywords: Distributed Optimization, Robotic Networks.
  53. I. Notarnicola, F. Bayer, G. Notarstefano, and F. Allgower. Final-State Constrained Optimal Control via a Projection Operator Approach. In European Control Conference, Aalborg, Denmark, pages 148-153, 2016. Note: [Download], [DOI: 10.1109/ECC.2016.7810278], [arXiv]. Keywords: Optimal Control.
  54. I. Notarnicola, M. Franceschelli, and G. Notarstefano. A duality-based approach for distributed min-max optimization with application to demand side management. In IEEE Conf. on Decision and Control, Las Vegas, USA, pages 153-158, 2016. Note: [Download], [DOI: 10.1109/CDC.2016.7798538], [arXiv]. Keywords: Distributed Optimization, Decision and Control.
  55. I. Notarnicola and G. Notarstefano. A randomized primal distributed algorithm for partitioned and big-data non-convex optimization. In IEEE Conf. on Decision and Control, Las Vegas, USA, pages 1877-1882, 2016. Note: [Download], [DOI: 10.1109/CDC.2016.7798262], [arXiv]. Keywords: Distributed Optimization.
  56. S. Spedicato, A. Franchi, and G. Notarstefano. From Tracking to Robust Maneuver Regulation: an Easy-to-Design Approach for VTOL Aerial Robots. In IEEE Int. Conf. on Robotics and Automation, Stockholm, Sweden, pages 2965-2970, 2016. Note: [Download], [DOI: 10.1109/ICRA.2016.7487461], [arXiv]. Keywords: Aerial Robotics.
  57. S. Spedicato and G. Notarstefano. Computing minimum-time trajectories for quadrotors via transverse coordinates. In IEEE Conf. on Decision and Control, Las Vegas, USA, pages 239-244, 2016. Note: [Download], [DOI: 10.1109/CDC.2016.7798276], [arXiv]. Keywords: Aerial robotics, Optimal Control.
  58. R. Carli, G. Notarstefano, L. Schenato, and D. Varagnolo. Analysis of Newton-Raphson Consensus for multi-agent convex optimization under asynchronous and lossy communications. In IEEE Conf. on Decision and Control, Osaka, Japan, pages 418-424, 2015. Note: [Download], [DOI: 10.1109/CDC.2015.7402236], [arXiv]. Keywords: Distributed Optimization, Robotic Networks.
  59. I. Notarnicola and G. Notarstefano. Randomized dual proximal gradient for large-scale distributed optimization. In IEEE Conf. on Decision and Control, Osaka, Japan, pages 712-717, 2015. Note: [Download], [DOI: 10.1109/CDC.2015.7402313], [arXiv]. Keywords: Distributed Optimization, Estimation and Learning, Decision and Control.
  60. G. Notarstefano. A core-set approach for distributed quadratic programming in big-data classification. In IEEE Conf. on Decision and Control, Osaka, Japan, pages 1372-1377, 2015. Note: [Download], [DOI: 10.1109/CDC.2015.7402402], [arXiv]. Keywords: Distributed Optimization, Estimation and Learning, Decision and Control.

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