25 citations · 40 across the 11 of their papers we have counts for
4 papers · 1 filter
A Novel Entropy-Maximizing TD3-based Reinforcement Learning for Automatic PID Tuning
Myisha A. Chowdhury, Qiugang Lu
Proportional-integral-derivative (PID) controllers have been widely used in the process industry. However, the satisfactory control performance of a PID controller depends strongly…
Enhanced CNN with Global Features for Fault Diagnosis of Complex Chemical Processes
Qiugang Lu, Saif S. S. Al-Wahaibi
Convolutional neural network (CNN) models have been widely used for fault diagnosis of complex systems. However, traditional CNN models rely on small kernel filters to obtain local…
Improving Convolutional Neural Networks for Fault Diagnosis by Assimilating Global Features
Saif S. S. Al-Wahaibi, Qiugang Lu
Deep learning techniques have become prominent in modern fault diagnosis for complex processes. In particular, convolutional neural networks (CNNs) have shown an appealing capacity…
Deep Learning-based Predictive Control of Battery Management for Frequency Regulation
Yun Li, Yixiu Wang, Yifu Chen +5
This paper proposes a deep learning-based optimal battery management scheme for frequency regulation (FR) by integrating model predictive control (MPC), supervised learning (SL), r…