Eduardo Sebastián

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Info

PhD Candidate
Departamento de Informática e Ingeniería de Sistemas (DIIS) e Instituto de Investigación en Ingeniería de Aragón (I3A)
Robotics, Perception and Real-Time Group (RoPeRT)
Universidad de Zaragoza (UZ)

Contact

Office: Lab. 1.01, Ada Byron Building, Calle María de Luna 3, Zaragoza, Spain, 50018
E-mail: esebastian@unizar.es / 3fsebastian@gmail.com

Biography

I am a Ph.D. student in the Perception-Oriented Control Team, part of the Robotics, Perception and Real-Time Group at the Departamento de Informática e Ingeniería de Sistemas and Instituto de Investigación en Ingeniería de Aragón, Universidad de Zaragoza. My advisors are Prof. Eduardo Montijano and Prof. Carlos Sagüés. I received the B.Eng. in Electronic and Automatic Engineering (Hons, 1st rank) and the M.Eng. in Electronics (Hons, 1st rank) from the Universidad de Zaragoza in 2019 and 2020 respectively. My research is funded by a FPU national grant (1st rank), the highest personal grant offered by the Spanish Government for Ph.D. candidates. From April-2022 to August-2022 I visited the Existential Robotics Laboratory supervised by Prof. Nikolay A. Atanasov. From May-2024 to November-2024 I am visiting Prof. Nikolay A. Atanasov again as a Fulbright Scholar. My current research interests include nonlinear and distributed control applied to multi-robot systems. Besides, I usually collaborate with power electronic research groups in the identification, estimation and control of power devices.

Research Interests

I'm open for any amazing topic related to robotics, control theory and, occasionally, power electronics.

News

May 2024  Our paper, presenting an automatic and data-driven method for power losses estimation in power converters, has been accepted for publication at IEEE Transactions on Power Electronics.

May 2024  Our paper, presenting the fastest distributed first order optimization method up to date, has been accepted for publication at IEEE Control Systems Letters.

Mar 2024  Two new papers submitted: the first one solves, for the first time, the problem of distributed discrete-time dynamic outer approximation of the intersection of ellipsoids and the second one proposes the fastest distributed first order optimization method up to date.

Jan 2024  Our new paper on Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems is available for reading and open for discussion!.

Nov 2023  Our ECO-DKF paper, presenting the first event-triggered and certifiable optimal distributed Kalman filter, has been accepted for publication at IEEE Transactions on Automatic Control.

Oct 2023  New paper about automatic power losses estimation in power converters with my power electronics' friends.

Sep 2023  Our paper on learning to identify graphs has been accepted and will be presented at IEEE MRS 2023 .

Jun 2023  Our paper about how to accelerate multi-stage discrete-time dynamic consensus has been accepted for publication at IEEE L-CSS and will be presented at IEEE CDC 2023.

May 2023  Our paper about the distributed outer approximation of the intersection of ellipsoids has been accepted for publication at IEEE L-CSS and will be presented at IEEE CDC 2023.