Learning against uncertainty in control engineering
نویسندگان
چکیده
In this paper, some data-based control design options that can be used to accommodate for the presence of uncertainties in continuous-state engineering systems are recalled and discussed. Focus is made on reinforcement learning, stochastic model predictive certification via randomized optimization. Some thoughts also shared regarding positioning community a data AI-dominated period which suggestions risks highlighted.
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ژورنال
عنوان ژورنال: Annual Reviews in Control
سال: 2022
ISSN: ['1872-9088', '1367-5788']
DOI: https://doi.org/10.1016/j.arcontrol.2022.03.007