In the dynamic landscape of energy generation, distribution, and consumption, control systems and optimization play a pivotal role in building a scalable, resilient, and a zero-carbon energy infrastructure
As the mobility, heating, industrial, and manufacturing sectors undergo electrification and decarbonization, there is a growing demand for precise control over energy generation, efficiency, demand, and trading. Achieving this requires optimisation and control of energy generation, storage, demand management and distribution, as well as energy usage in areas including transportation, buildings and industry. A key focus is on the application of real-time, distributed optimization, machine learning, and feedback control to guarantee the efficient and reliable operation of future energy systems.
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Meet some of our Researchers
FACULTY
Researchers, PostDocs, PhD’s & EngD's
Recent Publications
Our most recent peer reviewed publications
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A Bayesian optimization framework for the automatic tuning of MPC-based shared controllers
(2024) -
LiMeS-Lab
Journal of Fusion Energy (2023) -
Evaluation of ITER divertor shunts as a synthetic diagnostic for detachment control
Nuclear Fusion (2023) -
Mixed-Integer MPC Strategies for Fueling and Density Control in Fusion Tokamaks
IEEE Control Systems Letters (2023)
Contact
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Postal address
P.O. Box 5135600 MB EindhovenNetherlands -
Teamleadd.krishnamoorthy@ tue.nl
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Secretarycst@ tue.nl