CORDIS Project
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This research aims to create new computational methods for analyzing various dynamic systems using machine learning techniques. The focus is on improving algorithms for applications in fields like climate science, robotics, and finance, potentially establishing a new interdisciplinary area of study.
The proposed research aims to establish groundbreaking new computational methods for the analysis of deterministic, control and random dynamical systems by using tools from the field of Statistical Learning Theory (a.k.a.
Machine Learning).
These three related system types constitute a very active research area with a wide range of applications, including climate studies, power systems, autonomous vehicle control, aircraft control, robotics, finance and chemical engineering.
In many applications…
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