Results demonstrate that compared to conventional PID controller, the LSTM-MPC controller exhibits stronger robustness and faster response speed. Furthermore, by incorporating the process reference diagram into control decisions, visualization of the drying process quality index can b...
model.h5 s1.sav s2.sav Breadcrumbs LSTM-MPC / README.md Latest commit jnhopark Create README.mdFeb 21, 2021 79610b8· Feb 21, 2021 HistoryHistory File metadata and controls Preview Code Blame 2 lines (2 loc) · 54 Bytes Raw LSTM-MPC Developing MPC code using Keras LSTM model...
The primary objective of the trigger module is to distinguish abnormal vehicle behavior based on time to collision (TTC) indicators, and the control module combines the model predictive control (MPC) and bidirectional long short‐term memory (Bi‐LSTM) to achieve accurate trajectory prediction of ...
本发明提供了结合自适应权重的MPCLSTM空气质量预测方法,包括:构建空气质量样本的数据集,并对所述数据集进行预处理;构建MPCLSTM空气质量预测模型;基于预处理后的所述数据集,对所述MPCLSTM空气质量预测模型进行训练;基于训练后的所述MPCLSTM空气质量预测模型,获取预测的空气质量数据.本发明结合了多尺度并行卷积融合网络,...
New Intelligent Transport Systems Study Findings Have Been Reported by Investigators at Ningbo University (Mpc-bi-lstm Based Control Strategy for Connected and Automated Vehicles Platoon Oriented To Cyberattacks)NingboPeople's Republic of ChinaAsiaIntelligent Transport Systems...
The case study demonstrates the effectiveness of the MPC-LSTM-KAN approach, revealing improvements in the SOC stability, energy efficiency, and operational endurance of the high-altitude wind energy work umbrella system. The results indicate that this hybrid optimization method offers a robust solution...
MPC-ECMS Energy Management of Extended-Range Vehicles Based on LSTM Multi-Signal Speed PredictionENERGY managementPEARSON correlation (Statistics)HARDWARE-in-the-loop simulationSUPPORT vector machinesENERGY consumptionTIME-domain analysisFORECASTINGHYBRID electric vehicles...