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STALDYS SIGNED

Statistical Learning for Dynamical Systems

Total Cost €

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EC-Contrib. €

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Partnership

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Project "STALDYS" data sheet

The following table provides information about the project.

Coordinator
IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE 

Organization address
address: SOUTH KENSINGTON CAMPUS EXHIBITION ROAD
city: LONDON
postcode: SW7 2AZ
website: http://www.imperial.ac.uk/

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 183˙454 €
 EC max contribution 183˙454 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2017
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2019
 Duration (year-month-day) from 2019-02-01   to  2021-03-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE UK (LONDON) coordinator 183˙454.00

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 Project objective

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 the understanding of such systems requires the availability of efficient, high-performance algorithms and a key innovative aspect of this proposal is the development of a unified theory for computational dynamics that has the potential to establish a new field at the intersection of machine learning and dynamical systems theory.

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The information about "STALDYS" are provided by the European Opendata Portal: CORDIS opendata.

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