Model Predictive Evolutionary Temperature Control via Neural-Network-Based Digital Twins

Model Predictive Evolutionary Temperature Control via Neural-Network-Based Digital Twins

In this study, we propose a population-based, data-driven intelligent controller that leverages neural-network-based digital twins for hypothesis testing. Initially, a diverse set of control laws is generated using genetic programming with the digital twin of the system, facilitating a robust respon...

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Bibliographic Details
Main Authors: Cihan Ates, Dogan Bicat, Radoslav Yankov, Joel Arweiler, Rainer Koch, Hans-Jörg Bauer
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Algorithms
Subjects:
model predictive control
digital twin
neural network
deep learning
genetic programming
evolutionary algorithm
Online Access:https://www.mdpi.com/1999-4893/16/8/387

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https://www.mdpi.com/1999-4893/16/8/387

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