Dr Pablo Rodolfo Baldivieso Monasterios
School of Electrical and Electronic Engineering
Lecturer in AI and Data Science
Full contact details
School of Electrical and Electronic Engineering
Amy Johnson Building
Portobello Street
Sheffield
S1 3JD
- Profile
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Pablo R Baldivieso received his Ph.D in robust distributed control from the University of Sheffield in 2018. He has worked as a postdoctoral researcher in the Control And Power Systems (CAPS) laboratory and University Technology Centre (UTC) at the University of Sheffield.
His previous education comprises a degree in Electronic Engineering at Escuela Militar de Ingeniería, Pure Mathematics at Universidad Mayor de San Andrés in Bolivia, and an MSc in Control Systems at the University of Sheffield.
Currently, he is a lecturer in Data Science and AI for engineering at the University of Sheffield UK.
- Research interests
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- Networked Control Theory: Specifically, robustness, nonlinear controllability, and reachability.
- Cooperative Game Theory: Strategic multi-agent interactions.
- Data-Driven Control: Methods for leveraging data in system regulation.
- AI in Control Theory: Exploring the integration of machine learning within traditional control frameworks.
- Neural Network Characterization: Modeling neural networks as predictive controllers.
- Publications
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Journal articles
- Robust two-layer control of DC microgrids with fluctuating constant power load demand. IEEE Transactions on Control of Network Systems, 11(1), 427-438. View this article in WRRO
- Two-layer nonlinear control of DC–DC buck converters with meshed network topology. Automatica, 155. View this article in WRRO
- Robust coalitional model predictive control with plug-and-play capabilities. Automatica, 153. View this article in WRRO
Conference proceedings
- Mapping back and forth between model predictive control and neural networks. Proceedings of Machine Learning Research, Vol. 242 (pp 1228-1240). Oxford, United Kingdom, 15 July 2024 - 15 July 2024. View this article in WRRO
- Learning-to-control relaxation systems with the step response. 2024 American Control Conference (ACC) Proceedings (pp 3584-3589). Toronto, ON, Canada, 10 July 2024 - 10 July 2024. View this article in WRRO
- Tube-based coalitional MPC with plug-and-play features. IFAC-PapersOnLine, Vol. 56(2) (pp 7704-7709). Yokohama, Japan, 9 July 2023 - 9 July 2023. View this article in WRRO
Preprints
- Mapping back and forth between model predictive control and neural
networks.
- Robust two-layer control of DC microgrids with fluctuating constant power load demand. IEEE Transactions on Control of Network Systems, 11(1), 427-438. View this article in WRRO
- Teaching interests
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2024-25:
ACS234 Systems Engineering Mathematics II
ACS6124 Multisensor and Decision Systems