Publications

Journal Articles

  1.  L. Sforni, G. Carnevale, G. Notarstefano. A Distributed Feedback-based Framework for Nonlinear Aggregative Optimal Control. IEEE Transactions on Automatic Control, 2024.
  2.  N. Mimmo, G. Carnevale, A. Testa, G. Notarstefano. Extremum Seeking Tracking for Derivative-free Distributed Optimization. IEEE Transactions on Control of Network Systems, 2024.
  3. G. Carnevale, G. Notarstefano. Timescale Separation for Discrete-Time Nonlinear Stochastic Systems. IEEE Control Systems Letters, 2024. 
  4. G. Carnevale, N. Mimmo, G. Notarstefano, Nonconvex Distributed Feedback Optimization for Aggregative Cooperative Robotics. Automatica, 2024.
  5. G. Carnevale, F. Fabiani, F. Fele, K. Margellos, G. Notarstefano. Tracking-Based Distributed Equilibrium Seeking for Aggregative Games. IEEE Transactions on Automatic Control, 2024.
  6. A. Olama, E. Camponogara,  J. Kronqvist. Sparse Convex Optimization Toolkit: a Mixed-Integer Framework. Optimization Methods and Software, 2023.
  7. L. Pichierri, A. Testa, G. Notarstefano. CrazyChoir: Flying Swarms of Crazyflie Quadrotors in ROS 2. IEEE Robotics and Automation Letters, 2023.
  8. A. Olama, E. Camponogara, P. R. C. Mendes.  Distributed Primal Outer Approximation Algorithm for Sparse Convex Programming with Separable Structures, Journal of Global Optimization, 2022.

Conference Proceedings

  1.  A. Tramaloni, A. Testa, S. Avnet, N. Baldini, G. Notarstefano. Biological Cell Tracking Via Multi-Agent Identification and Filtering. IEEE Conference on Decision and Control CDC 2024, Milano, Italy, 16-19 December 2024.
  2. G. Carnevale, I. Notarnicola, G Notarstefano.  Nonconvex Big-Data Optimization via System Theory: a Block-wise Incremental Gradient Method. IEEE Conference on Decision and Control CDC 2024, Milano, Italy, 16-19 December 2024.
  3.  S. Baroncini, G. Carnevale, B. Gharesifard, G. Notarstefano. A System-theoretic Note on Model-Based Actor-Critic. IEEE Conference on Decision and Control CDC 2024, Milano, Italy, 16-19 December 2024.
  4.  G. Carnevale, N. Mimmo, G. Notarstefano. Extremum-Seeking Policy Iteration for Data-Driven LQR. IEEE Conference on Decision and Control CDC 2024, Milano, Italy, 16-19 December 2024.
  5. A. Olama, G. Carnevale, G. Notarstefano, E. Camponogara. Distributed $ell_0$ Sparse Aggregative Optimization. IEEE Conference on Automation Science and Engineering CASE 2024, Bari, Italy, 28 August - 1 September 2024.
  6. L. Pichierri, G. Carnevale, G. Notarstefano. Distributed Feedback Optimization for Multi-Robot Target Encirclement and Patrolling. IEEE Conference on Automation Science and Engineering CASE 2024, Bari, Italy, 28 August - 1 September 2024.
  7. R. Brumali, G. Carnevale, G. Notarstefano. A Deep Learning Approach for Distributed Aggregative Optimization with Users’ Feedback.  Annual Learning for Dynamics and Control Conference L4DC 2024, Oxford, United Kingdom, 5-17 July 2024.
  8. G. Carnevale, N. Bastianello, R. Carli, G. Notarstefano. Distributed Consensus Optimization via ADMM-Tracking Gradient. IEEE Conference on Decision and Control CDC 2023, Singapore, 13-15 December 2023.
  9. M. Borghesi, A. Bosso, G. Notarstefano. On-policy data-driven linear quadratic regulator via model reference adaptive reinforcement learning. IEEE Conference on Decision and Control CDC 2023, Singapore, 13-15 December 2023.
  10. A. Macchelli. Distributed-Parameter Port-Hamiltonian Systems in Discrete-Time. IEEE Conference on Decision and Control CDC 2023, Singapore, 13-15 December 2023.
  11. L. Sforni, G. Carnevale, I. Notarnicola, G. Notarstefano. On-Policy Data-Driven Linear Quadratic Regulator via Combined Policy Iteration and Recursive Least Squares. IEEE Conference on Decision and Control CDC 2023, Singapore, 13-15 December 2023.
  12. A. Olama, G. Carnevale, E. Camponogara, G. Notarstefano. A Tracking Augmented Lagrangian Method for $ell_0$ Sparse Consensus Optimization. Automatica.it 2023, Catania, Italy, 6-8 September 2023.
  13. A. Olama, G. Carnevale, G. Notarstefano, E. Camponogara. A Tracking Augmented Lagrangian Method for $ell_0$ Sparse Consensus Optimization. IEEE International Conference on Control, Decision and Information Technologies CoDIT 2023, Rome, Italy, 3-6 July 2023.
  14. L. Pichierri, G. Carnevale, L. Sforni, A. Testa, G. Notarstefano. A Distributed Online Optimization Strategy for Cooperative Robotic Surveillance. IEEE International Conference on Robotics and Automation ICRA 2023, London, United Kingdom, 29 May – 2 June 2023.
  15. G. Carnevale, G. Notarstefano. A Learning-based Distributed Algorithm for Personalized Aggregative Optimization. IEEE Conference on Decision and Control CDC 2022, Cancún, Mexico, 6-9 December 2022.
  16. L. Sforni, G. Notarstefano. Structured-Policy Q-Learning: An LMI-Based Design Strategy for Distributed Reinforcement Learning. IEEE Conference on Decision and Control CDC 2022, Cancún, Mexico, 6-9 December 2022.
  17. G. Carnevale, G. Notarstefano. Nonconvex Distributed Optimization via LaSalle and Singular Perturbations. IEEE Conference on Decision and Control CDC 2022, Cancún, Mexico, 6-9 December 2022.
  18. A. Camisa, G. Carnevale, G. Notarstefano. Tracking-based Distributed Aggregative Optimization for Cooperative Robotics. Automatica.it SIDRA, Cagliari, Italy, 1-3 September, 2022.
  19. G. Carnevale, N. Mimmo, G. Notarstefano, Aggregative Feedback Optimization for Distributed Cooperative Robotics, IFAC Conference on Networked Systems, NecSys 22, Zurich, Switzerland, 5-7 July 2022.

 

Workshops and Seminars

  1. Organization of the workshop "Distributed Optimization for Machine Learning in Complex Networks”, Bologna, 13 Dicembre 2024.
  2. Organization of the workshop  "Aerial Swarm Tools and Applications", Robotics: Science and Systems RSS, Delft, Netherlands, 19 Luglio 2024.
  3. Seminar "Echo State Network for Modeling and Control of Dynamic Systems" held by Prof. E. Camponogara, Bologna, Italy, 23 March 2023.
  4. Organization of the workshop "Distributed Cooperative Robotics: Numerical Methods and ROS 2 Software Tools", IEEE Conference on Control Technology and Applications CCTA 2022, Trieste, Italy, 22-25 Agosto 2022.

 

Ph.D. Theses

  1. G. Carnevale. Distributed Optimization and Games over Networks: a System Theoretical Perspective. Supervisor: Prof. G. Notarstefano, Co-Supervisor: Prof. L. Marconi, University of Bologna, Italy, 2023.
  2.  A. Olama. A Distributed Framework for Sparse Convex Optimization: Algorithm and Software Tools. Supervisor: Prof. E. Camponogara, Federal University of Santa Caterina, Brazil, 2023.
  3.  E. Ahmadi. Signal-Free Path-Free Intersection Control: A Model Predictive Contouring Control Approach. Supervisor: Prof. R. C. Carlson, Co-Supervisor: Prof. W. Kraus Junior, Federal University of Santa Caterina, Brazil, 2023.

 

Software Packages 

  1. A. Olama. "Sparse Convex Optimization Toolkit (SCOT)", https://github.com/Alirezalm/scot.
  2. L. Pichieri, A. Testa, G. Notarstefano. "CrazyChoir", https://github.com/OPT4SMART/crazychoir/.