- Nationality: Spanish
PhD Thesis
Data-Driven Model-Based Approaches for Efficient Flow Control.
Supervisors
Rodrigo Castellanos García de Blas (UC3M) & Carlos Sanmiguel Vila (INTA).
Abstract
This PhD research explores advanced flow control for aerospace applications through a model-based reinforcement learning (RL) framework. It seeks to address challenges such as high system dimensionality and limited real-time observability by developing reduced-order models that capture essential flow dynamics. These models, combined with state estimation methods under noise and partial data, enable the training of efficient and robust RL control policies.
TIFON – Tecnologías Inteligentes para la Fabricación, el diseño y las Operaciones en entornos industriales PLEC2023-010251. This project has been granted by the CDTI, with the support of the Ministry of Science and Innovation, with file number MIG-20232039 through the TransMisiones 2023 initiative, within the scope of the “Programa Estatal para Catalizar la Innovación y el Liderazgo Empresarial del Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023” program.
PhD in Aerospace Engineering UC3M 