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CORDIS

Kernel-based Methods in Control and Estimation

Obiettivo

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.

Campo scientifico (EuroSciVoc)

Parole chiave

Programma(i)

Argomento(i)

Meccanismo di finanziamento

HORIZON-TMA-MSCA-DN - HORIZON TMA MSCA Doctoral Networks

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Invito a presentare proposte

(si apre in una nuova finestra) HORIZON-MSCA-2025-DN-01

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Coordinatore

TECHNISCHE UNIVERSITAET ILMENAU
Contributo netto dell'UE
€ 580 544,64
Costo totale
Nessun dato

Partecipanti (12)

Partner (5)