正文
《化学科学与工程前沿(英文)》 >> 2022年 第16卷 第2期 doi: 10.1007/s11705-021-2058-6
An integrated approach for machine-learning-based system identification of dynamical systems under control: application towards the model predictive control of a highly nonlinear reactor system
摘要
关键词
nonlinear model predictive control ; black-box modeling ; continuous-time system identification ; machine learning ; industrial applications of process control
正文