Optimal model-free adaptive control based on reinforcement Q-Learning for solar thermal collector fields

IML Pataro, R Cunha, JD Gil, JL Guzmán… - … Applications of Artificial …, 2023 - Elsevier
This study addresses the challenge and related difficulties of controlling solar collector fields
(SCFs) using high-complex models by proposing an adaptive optimal model-free controller …

Prediction bands for solar energy: New short-term time series forecasting techniques

M Fliess, C Join, C Voyant - Solar Energy, 2018 - Elsevier
Short-term forecasts and risk management for photovoltaic energy is studied via a new
standpoint on time series: a result published by P. Cartier and Y. Perrin in 1995 permits …

Toward a model-free feedback control synthesis for treating acute inflammation

O Bara, M Fliess, C Join, J Day, SM Djouadi - Journal of theoretical biology, 2018 - Elsevier
An effective and patient-specific feedback control synthesis for inflammation resolution is still
an ongoing research area. A strategy consisting of manipulating a pro and anti-inflammatory …

Brake and velocity model-free control on an actual vehicle

P Polack, S Delprat, B d'Andréa-Novel - Control Engineering Practice, 2019 - Elsevier
A tuning procedure for the model-free control paradigm introduced in Fliess and Join (2013)
is proposed. This controller requires an estimate of the system dynamics usually obtained …

Model-free control of building HVAC systems to accommodate solar photovoltaicEnergy

B Telsang, S Djouadi, M Olama… - 2018 9th IEEE …, 2018 - ieeexplore.ieee.org
With the increasing demand for energy in day-to-day life, the need for integrating renewable
energy is growing. In this paper, we take a step in addressing this challenge by employing …

Energy saving for building heating via a simple and efficient model-free control design: First steps with computer simulations

H Abouaïssa, OA Hasan, C Join… - … on System Theory …, 2017 - ieeexplore.ieee.org
The model-based control of building heating systems for energy saving encounters severe
physical, mathematical and calibration difficulties in the numerous attempts that has been …

A machine learning-based approach to predict the aggregate flexibility of hvac systems

K Amasyali, M Olama… - 2020 IEEE Power & Energy …, 2020 - ieeexplore.ieee.org
Use of renewable energy resources can play a significant role in mitigation of climate
change since they reduce the dependency on fossil fuels. However, high penetration of …

Stability analysis of model-free control under constrained inputs for control of building HVAC systems

B Telsang, M Olama, S Djouadi, J Dong… - 2019 American …, 2019 - ieeexplore.ieee.org
Recently introduced model-free control method has witnessed successful applications in
various domains. While the framework of model-free control renders it simple and efficient, it …

Model-free control for VSC-based HVDC systems

A Barkat, B Marinescu, C Join… - 2018 IEEE PES …, 2018 - ieeexplore.ieee.org
The High-Voltage Direct Current (HVDC) transmission lines are power electronics based
elements more and more used in power grids. In addition to the transport capacity, they …

A decentralised control strategy for secondary voltage regulation

JK Goyal, V Thomas, B Marinescu - arXiv preprint arXiv:2205.13833, 2022 - arxiv.org
This paper proposes a decentralised secondary voltage control strategy that has several
benefits over the existing centralised strategies. For that, a new structure for the control is …