Process structure-based recurrent neural network modeling for model predictive control of nonlinear processes

标题
Process structure-based recurrent neural network modeling for model predictive control of nonlinear processes
作者
关键词
Recurrent neural networks, Model predictive control, Structural process knowledge, Nonlinear systems, Chemical processes
出版物
JOURNAL OF PROCESS CONTROL
Volume 89, Issue -, Pages 74-84
出版商
Elsevier BV
发表日期
2020-04-09
DOI
10.1016/j.jprocont.2020.03.013

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