Conference articles


2021
  1. 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.

2020
  1. 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.
  2. 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].
  3. 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].
  4. 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].
  5. 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].
  6. 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].

2019
  1. 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.
  2. 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.
  3. 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].
  4. 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.
  5. 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.
  6. 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.
  7. 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.

2018
  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.

2017
  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.

2016
  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.

2015
  1. 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.
  2. 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.
  3. 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.

BACK TO INDEX