Publications

Articles

  1. A. Riccardi, T. Badings, L. Laurenti, A. Abate, and B. De Schutter, “Abstraction-based MPC control for nonlinear stochastic systems,” under review at Automatica, 2026, arXiv: arXiv:2604.01372.
  2. A. Riccardi, L. Laurenti, and B. De Schutter, “Partitioning techniques for non-centralized predictive control: A systematic review and novel theoretical insights,” in Annual Reviews in Control 61, 2026, doi: 10.1016/j.arcontrol.2026.101046.
  3. A. Riccardi, L. Laurenti, and B. De Schutter, “A general partitioning strategy for non-centralized control,” 2025, arXiv: arXiv:2502.21126.
  4. A. Riccardi, L. Laurenti, and B. De Schutter, “A benchmark for the application of distributed control techniques to the electricity network of the European economic area,” in Control Systems Benchmarks, Springer, 2025, doi: 10.1007/978-3-031-76312-0_2.
  5. A. Riccardi, G. P. Furtado, J. Sikorski, M. Vendittelli and S. Misra, “Field Model Identification and Control of a Mobile Electromagnet for Remote Actuation of Soft Robots,” in IEEE Robotics and Automation Letters 8, 2023, doi: 10.1109/LRA.2023.3280814.

Conferences

  1. A. Riccardi, L. Laurenti, and B. De Schutter, “A benchmark for multi-agent control of energy systems: The European economic area hybrid electricity network benchmark,” in 2025 European Control Conference (ECC), 2025, doi: 10.23919/ECC65951.2025.11187247.
  2. A. Riccardi, L. Laurenti, and B. De Schutter, “A generalized partitioning strategy for distributed control,” in 2024 IEEE 63rd Conference on Decision and Control (CDC), 2024, doi: 10.1109/CDC56724.2024.10885848.

Software Repositories and Datasets

  1. A. Riccardi, T. Badings, L. Laurenti, A. Abate, and B. De Schutter, “Code for publication: Temporal Logic Control of Nonlinear Stochastic Systems with Online Performance Optimization,” 2026, doi: 10.4121/631b574d-40e8-4951-b3ac-e304e3f34b13.
  2. A. Riccardi, L. Laurenti, and B. De Schutter, “Data for publication: Partitioning techniques for non-centralized predictive control: A systematic review and novel theoretical insights,” 2026, doi: 10.4121/f5e9c734-c14e-40f7-93a8-82884a0efbfc.
  3. A. Riccardi, L. Laurenti, and B. De Schutter, “Code for publication: A general partitioning strategy for non-centralized control,” 2025, doi: 10.4121/0e7dd651-66d7-451e-889b-d558e7d5b986.
  4. A. Riccardi, L. Laurenti, and B. De Schutter, “Code underlying the publication: A Generalized Partitioning Strategy for Distributed Control,” 2024, doi: 10.4121/90ada13d-a6c9-4e4c-a046-2b984595bcdd.
  5. A. Riccardi, L. Laurenti, and B. De Schutter, “Code underlying the publication: A Benchmark for the Application of Distributed Control Techniques to the Electricity Network of the European Economic Area,” 2024, doi: 10.4121/d2c0d075-1c49-41af-8113-5e50c27ca97e.

Thesis

  1. PhD: A. Riccardi, “Distributed and Multi-Level Predictive Control: Partitioning and Abstraction,” 2026, doi: 10.4233/uuid:e5b6e3e1-996e-48b6-ad2b-7803c6ebdc3c.
  2. MSc: A. Riccardi, “Suboptimal control of mobile electromagnets for advanced actuation of softrobots,” 2021.
  3. BSc: A. Riccardi, “A simulation environment for determining the orbital vector in the attitude control of a satellite,” 2015.

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