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Deep reinforcement learning–based digital twin system of a multi-cylinder hydraulic press with adaptive synchronous control

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Transactions of the Institute of Measurement and Control

Published online on

Abstract

Transactions of the Institute of Measurement and Control, Ahead of Print.
It is well known that due to the complex modeling process, including the over-actuated and eccentric load characteristics of multi-cylinder hydraulic press systems, designing their control systems is very challenging. In reality, engineers must undertake ...