Stability and robustness (ROBUST)


This research pole deals with the concept of stability and robustness in various fields of research, aiming to identify its key structural determinants. In ecology as in financial networks, catastrophic changes in the overall state of a system can ultimately derive from how it is organised — from feedback mechanisms within it, and from linkages that are latent and often unrecognised. The change may be initiated by external factors, but is more usually triggered endogenously.

Keywords: Dynamical systems, Self-organized patterns, Emergent phenomena

Contact: Timoteo Carletti and Joseph Winkin

Relevant references:

  • T. Carletti, & R. Muolo, Finite propagation enhances Turing patterns in reaction-diffusion networked systems, oct. 2021, J of Physics, Complexity, 2, p. 045004
  • J. Petit, R. Lambiotte, & T. Carletti, Random walks on dense graphs and graphons, nov. 2021, SIAM Journal of Applied Mathematics, 18 (6), p. 2323
  • A. Mauroy, Y. Susuki, & I. Mezić, Introduction to the Koopman operator in dynamical systems and control theory, in The Koopman Operator in Systems and Control, 484, Springer Ed. 2020.
  • H. Dimassi, J. J. Winkin, & A. Vande Wouwer, A sliding mode observer for a linear reaction–, convection–diffusion equation with disturbances, feb. 2019, Systems and Control Letters, 124, p. 40-48 9 p.
  • P. Thémans, P. Marquet, J. J. Winkin, & F. T. Musuamba, Towards a Generic Tool for Prediction of Meropenem Systemic and Infection-Site Exposure: A Physiologically Based Pharmacokinetic Model for Adult Patients with Pneumonia, jan. 2019, Drugs in R and D. 13 p.