Sotabase

Career

· Postdoctoral Scholar, Aeronautics and Astronautics, Stanford University2025–
· Postdoctoral Researcher, ETH AI Center2023–2024
· Graduate Student Intern, Tesla2022–2022
· Ph.D. Candidate in Control and Dynamical Systems, California Institute of Technology (Caltech)2017–2023
· Master of Science (M.Sc.) in Space Engineering, California Institute of Technology (Caltech)2016–2017
· Visiting Student, Massachusetts Institute of Technology (MIT)2016–
· Bachelor's degree in Aerospace, Aeronautical and Astronautical Engineering, Universidad Politécnica de Madrid2012–2016
· International Baccalaureate, Real Instituto Jovellanos, Gijón, Spain2010–2012

Publications (13)

Distributed and Localized Model-Predictive Control–Part I: Synthesis and Implementation
IEEE Transactions on Control of Network Systems · 2021
20
cited
Distributed and Localized Closed Loop Model Predictive Control via System Level Synthesis
IEEE Conference on Decision and Control · 2020
18
cited
Distributed and Localized Model Predictive Control via System Level Synthesis
arXiv.org · 2019
18
cited
Data-Driven Distributed and Localized Model Predictive Control
IEEE Open Journal of Control Systems · 2021
15
cited
Distributed and Localized Model Predictive Control—Part II: Theoretical Guarantees
IEEE Transactions on Control of Network Systems · 2022
11
cited
Explicit Distributed and Localized Model Predictive Control via System Level Synthesis
IEEE Conference on Decision and Control · 2020
9
cited
System Level Synthesis via Dynamic Programming
IEEE Conference on Decision and Control · 2020
8
cited
Frontiers in Scalable Distributed Control: SLS, MPC, and Beyond
American Control Conference · 2021
7
cited
Robust Distributed and Localized Model Predictive Control
2021
5
cited
Distributed Linear Quadratic Regulator Robust to Communication Dropouts
IFAC-PapersOnLine · 2021
4
cited
Effective GPU Parallelization of Distributed and Localized Model Predictive Control
2022 IEEE 17th International Conference on Control & Automation (ICCA) · 2021
3
cited
MPC Without the Computational Pain: The Benefits of SLS and Layering in Distributed Control
arXiv.org · 2020
2
cited
Architecture and Trade-offs in the Heat Shock Response System
IEEE Conference on Decision and Control · 2018
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Carmen Amo Alonso | Researcher Profile | Sotabase | Sotabase