HEDoctoral network2027–2030

KONEST · Kernel-based Methods in Control and Estimation

Horizon Europe — Marie Skłodowska-Curie Actions

Duration
2027-01-01 → 2030-12-31
EU contribution
€4,592,712
Participants
18
Scheme
HORIZON-TMA-MSCA-DN

Lines connect the coordinator with its partners. CORDIS does not always give exact coordinates for projects before 2014. These points are placed at city or country level.

Project objective

The proposed programme will establish a Doctoral Network in Mathematics with a special focus on Kernel-Based Methods in Control and Estimation. The network aims at advancing the theoretical foundations and practical applications of kernel-based techniques in control and estimation of complex dynamical systems. By bringing together leading researchers and institutions, the project will foster interdisciplinary collaboration and innovation in areas such as state estimation for partial differential equations, data-driven analysis of nonlinear dynamics, and uncertainty quantification in complex systems. The network will also explore the integration of machine learning methods, including physics-informed deep learning and Gaussian process online learning, to enhance control strategies and state estimation in uncertain and nonlinear environments. Additionally, the project will address real-world applications from different technological domains. Furthermore, by incorporating physical prior-knowledge into data-driven control and developing localized sensitivities for efficient learning, the network seeks to create robust, reliable, and efficient methods applicable across various industries. The doctoral network will not only contribute to advancing mathematical knowledge but also strengthen European innovation capacity by training highly skilled researchers equipped to tackle complex mathematical problems. Through collaborative research projects, workshops, and dissemination of findings in top-tier journals and conferences, the network will have a lasting impact on both academia and industry, fostering sustainable development and technological advancement.

Original text from CORDIS.

Participants

  • TECHNISCHE UNIVERSITAET ILMENAU · IlmenauCoordinatorGermany
  • BRANDENBURGISCHE TECHNISCHE UNIVERSITAT COTTBUS-SENFTENBERG · CottbusGermany
  • CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS · ParisFrance
  • EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH · ZuerichSwitzerland
  • FACULTY OF SCIENCE UNIVERSITY OF ZAGREB · ZagrebCroatia
  • INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE · Le Chesnay CedexFrance
  • RIJKSUNIVERSITEIT GRONINGEN · GroningenNetherlands
  • SPEEDGOAT GMBH · LiebefeldCountry levelSwitzerland
  • TECHNISCHE UNIVERSITAET CHEMNITZ · ChemnitzGermany
  • TECHNISCHE UNIVERSITAT HAMBURG · HamburgGermany
  • TECHNISCHE UNIVERSITEIT EINDHOVEN · EindhovenNetherlands
  • THE MATHWORKS LIMITED · Cambridge CambsUnited Kingdom
  • THE UNIVERSITY OF MANCHESTER · ManchesterUnited Kingdom
  • UNIVERSITE DE LILLE · LilleFrance
  • UNIVERSITE DE TOULOUSE · ToulouseFrance
  • UNIVERSITE PARIS-SACLAY · Gif-Sur-YvetteFrance
  • UNIVERSITY OF SOUTHAMPTON · SOUTHAMPTONUnited Kingdom
  • University of Novi Sad Faculty of Sciences · Novi SadSerbia

Links

Data: CORDIS, © European Union