Many natural and artificial systems are often composed of oscillatory elements which, besides evolving according to their own non-trivial internal dynamics, mutually interact. As a result, many temporal and spatial scales are typically present, often accompanied by the spontaneous emergence of collective properties. Altogether, such features make the task of understanding the resulting evolution a challenging interdisciplinary problem. Zero-knowledge methods do generally require too large amount of data to allow drawing meaningful conclusions. In order to overcome this limitation, it is necessary to add skilful hypotheses about the structure of the underlying model and, thereby, on the relevant variables. This task is often tackled in an ad hoc way and the approach is based rather on personal preferences than on objective elements. The goal of this project is to fill the gap, by developing a general and coherent set of tools for the system identification and control, as well as to improve our ability to make predictions.
Complex Oscillatory Systems: Modeling and Analysis (COSMOS) was a Europe-wide consortium of 8 universities who together hosted 15 PhD students over 4 years. COSMOS has been made possible by a €3.9 M grant by the European Commission through its Marie Curie Initial Training Network scheme (Program H2020-EU.1.3.1, Grant agreement ID: 642563).
The Florence node of COSMOS was led by the three PIs Roberto Livi, Duccio Fanelli from the Department of Physics and Astronomy of the University of Florence (Network Theory) and Thomas Kreuz from ISC, CNR (Data Analysis) and included the two Early Stage Researchers (PhD students) Clement Zankoc and Eero Satuvuri for two years as well as for one year Pau Clusella, Maxime Lucas, and Irene Malvestio.