An adaptive optimization method toward batch-wise variable set point of outlet moisture content for the tobacco drying process
The tobacco drying process in the cigarette production has an important effect on the final
product quality. Therefore, the intelligent control methods have been widely investigated to …
product quality. Therefore, the intelligent control methods have been widely investigated to …
A novel spatio-temporal attention-based bidirectional LSTM model for moisture content prediction in drying process
L Zhang, G Ren, J Du, S Li, Y Li, D Xu - Drying Technology, 2024 - Taylor & Francis
Accurate prediction of moisture content is significantly crucial for ensuring process stability
and product quality in the cylinder drying process. However, the drying process exhibits …
and product quality in the cylinder drying process. However, the drying process exhibits …
Mathematical modeling and model predictive control research on coal powder burners for aggregate dryers
H Yan, H Cheng, M Tian, X Li, Z Hu - Drying Technology, 2024 - Taylor & Francis
Aggregate drying is a crucial step in asphalt mixture production. Enhancing the model
accuracy and controller performance of aggregate dryer burners is essential for consistent …
accuracy and controller performance of aggregate dryer burners is essential for consistent …
基于主元神经网络的片烟松散回潮控制系统建模与优化.
文广球， 江婷， 伍先， 谢华坤… - Tobacco Science & …, 2024 - search.ebscohost.com
为解决松散回潮工序传统PID 控制模式存在出口含水率波动大, 系统控制延时等问题, 基于BP
神经网络和主元回归方法提出一种主元神经网络出口含水率预测模型; 以预测偏差最小为目标 …
神经网络和主元回归方法提出一种主元神经网络出口含水率预测模型; 以预测偏差最小为目标 …
Make a Loose-Callback Equipment System Recognition Based on the Koopman Operator
Y Wu, Z Zhao - 2024 6th International Conference on Machine …, 2024 - ieeexplore.ieee.org
This study proposes a data-driven method for nonlinear system identification by leveraging
the Koopman operator theory to embed nonlinear dynamical systems into a high …
the Koopman operator theory to embed nonlinear dynamical systems into a high …