MONDI
MOdellistica Numerica e Data-driven per l’Innovazione sostenibile

(numerical and data-driven modelling for sustainable innovation)

The project activities aim at effectively combining together the numerical and data-driven modelling of delay differential equations with those of stochastic differential equations for investigating the dynamics of complex production systems and supply chains in view of sustainable innovation according to the National Research Plan PNR 2021–2027.

MONDI is funded by the University of Udine under MUR DM 737 as part of NextGeneration EU (CUP G25F21003390007), it is coordinated by Dimitri Breda and features a research team made of CDLab members as well as the Universities of L’Aquila and Salerno as external partners, with respectively Raffaele D’Ambrosio and Dajana Conte as local coordinators.

People

  • PI: Dimitri Breda
  • CDLab: Alessia Andò, Enrico Bozzo, , Davide Liessi, Rossana Vermiglio
  • University of L’Aquila: Raffaele D’Ambrosio, Stefano Di Giovacchino, Carmen Scalone
  • University of Salerno: Dajana Conte, Ida Santaniello

News and activities

  • Kickoff meeting: Friday 15 December 2023 14:30–16:30, online
  • Meeting on SINDy: Thursday 8 February 2024 14:00–15:30, online
  • Meeting on SINDy: Thursday 10 April 2024 13:00–14:00, online
  • Meeting on SINDy: Thursday 23 May 2024 14:00–15:30, online
  • Meeting on SINDy: Tuesday 5 November 2024, 14:30–16:00, online
  • Meeting on time integration of SDDEs: Wednesday 18 December 2024, 21:00–22:30, online
  • Meeting on time integration of SDDEs: Thursday 23 January 2025, in presence at DSABNS 2025 Naples
  • Meeting on time integration of SDDEs and SINDy: Monday 10 March 2025, 13:30–15:30, online
  • Meeting on SINDy: Thursday 15 May 2025, 18:00–19:00, online
  • Closing meeting: Thursday 24 and Friday 25 July 2025, in presence at University of L’Aquila

Publications

  • [1] E. Bozzo, D. Breda and M. Tanveer, Sparse identification of time delay systems via pseudospectral collocation, IFAC-PapersOnLine, 58:27 (2024), pp. 108–115, DOI: 10.1016/j.ifacol.2024.10.308.
  • [2] D. Breda and D. Liessi, Lyapunov exponents of renewal equations: Numerical approximation and convergence analysis, Discrete Contin. Dyn. Syst. Ser. B, 30:6 (2025), pp. 1930–1951, DOI: 10.3934/dcdsb.2024152.
  • [3] D. Breda, D. Conte, R. D’Ambrosio, I. Santaniello and M. Tanveer, Sparse identification of nonlinear dynamics for stochastic delay differential equations, J. Comput. Appl. Math., 479, 117247 (2026), DOI: 10.1016/j.cam.2025.117247.

Software

[private]