A Behavioral Input-Output Parametrization of Control Policies with Suboptimality Guarantees

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Impact of the Distributed Current Controller on the Dynamic Performance of the Modular Multilevel Converter

Drazen Dujic, Andrea Cervone, Max Dupont

The control of a modular multilevel converter can be achieved in various ways. Traditionally, upper-layer energy controllers and middle-layer current controllers are centrally implemented. In some hardware realizations, the submodules also include a local ...

Institute of Electrical and Electronics Engineers Inc.2024

Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems

Colin Neil Jones, Melanie Nicole Zeilinger, Roland Schwan, Xuan Truong Nghiem

Physics-informed machine learning (PIML) is a set of methods and tools that systematically integrate machine learning (ML) algorithms with physical constraints and abstract mathematical models developed in scientific and engineering domains. As opposed to ...

IEEE2023

Reliability and Performance of Model Predictive Control for Demand Response with Residential Heat Pumps

Frédéric Louis-Pierre Raphaël Marie Amblard

Distributed energy resources like solar panels and wind turbines are increasingly replacing fossil fuel energy sources. Due to their natural fluctuations they cause imbalance in the power grid when their production does not overlap with demand. Thus, there ...

EPFL2021

Biologically inspired kinematic synergies enable linear balance control of a humanoid robot

Auke Ijspeert

Despite many efforts, balance control of humanoid robots in the presence of unforeseen external or internal forces has remained an unsolved problem. The difficulty of this problem is a consequence of the high dimensionality of the action space of a humanoi ...

2011