Energy-efficient LSTM-based predictive control for nonlinear systems
Transactions of the Institute of Measurement and Control
Published online on July 22, 2026
Abstract
Transactions of the Institute of Measurement and Control, Ahead of Print.
This paper presents an energy-efficient control approach based on long short-term memory (LSTM) neural networks for nonlinear thermal systems. The proposed strategy uses a trained LSTM network to predict future system outputs and optimize control actions ...
This paper presents an energy-efficient control approach based on long short-term memory (LSTM) neural networks for nonlinear thermal systems. The proposed strategy uses a trained LSTM network to predict future system outputs and optimize control actions ...