A tutorial review of neural network modeling approaches for model predictive control

An overview of the recent developments of time-series neural network modeling is presented along with its use in model predictive control (MPC). A tutorial on the construction of a neural network-based model is provided and key practical implementation issues are discussed. A nonlinear process examp...

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Veröffentlicht in:	Computers & chemical engineering Jg. 165; H. C; S. 107956
Hauptverfasser:	Ren, Yi Ming, Alhajeri, Mohammed S., Luo, Junwei, Chen, Scarlett, Abdullah, Fahim, Wu, Zhe, Christofides, Panagiotis D.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United Kingdom Elsevier Ltd 01.09.2022 Elsevier
Schlagworte:	Chemical processes Encoder–decoder architecture Feed-forward neural networks Model predictive control Nonlinear systems Recurrent neural networks Time-series forecasting Model predictive control Recurrent neural networks Feed-forward neural networks Encoder–decoder architecture Chemical processes Nonlinear systems Time-series forecasting
ISSN:	0098-1354, 1873-4375
Online-Zugang:	Volltext
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