Dutta, A., Zhong, Y., Depraetere, B., Van Vaerenbergh, K. B., Ionescu, C., Wyns, B., Pinte, G., Nowe, A., & Swevers, J. (2014). Model-based and model-free learning strategies for wet clutch control. Mechatronics, 24(8), 1008-1020. https://doi.org/10.1016/j.mechatronics.2014.03.006

@article{018680a180474a849868ac109bf24270,
title = "Model-based and model-free learning strategies for wet clutch control",
abstract = "This paper presents an overview of model-based (Nonlinear Model Predictive Control, Iterative Learning Control and Iterative Optimization) and model-free (Genetic-based Machine Learning and Reinforcement Learning) learning strategies for the control of wet-clutches. The benefits and drawbacks of the different methodologies are discussed, and illustrated by an experimental validation on a test bench containing wet-clutches. In general, all strategies yield a good engagement quality once they converge. The model-based strategies seems most suited for an online application, because they are inherently more robust and require a shorter convergence time. The model-free strategies meanwhile seem most suited to offline calibration procedures for complex systems where heuristic tuning rules no longer suffice.",
author = "Abhishek Dutta and Yu Zhong and Bruno Depraetere and {Van Vaerenbergh}, {Kevin Bert} and Clara Ionescu and Bart Wyns and Gregory Pinte and Ann Nowe and Jan Swevers",
year = "2014",
doi = "10.1016/j.mechatronics.2014.03.006",
language = "English",
volume = "24",
pages = "1008--1020",
journal = "Mechatronics",
issn = "0957-4158",
publisher = "Elsevier Limited",
number = "8",
}