LSTM-MPC: A Deep Learning Based Predictive Control Method for Multimode Process Control

Modern industrial processes often operate under different modes, which brings challenges to model predictive control (MPC). Recently, most MPC related methods would establish prediction models independently for different modes, which results in their control effect highly relying on switching strate...

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Vydané v:	IEEE transactions on industrial electronics (1982) Ročník 70; číslo 11; s. 1 - 10
Hlavní autori:	Huang, Keke, Wei, Ke, Li, Fanbiao, Yang, Chunhua, Gui, Weihua
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.11.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Adaptation models Behavioral sciences Control methods Deep learning Feasibility studies long short-term memory network Mathematical models model predictive control multimode process Optimization Prediction models Predictive control Predictive models Process controls Stability analysis Switches Switching
ISSN:	0278-0046, 1557-9948
On-line prístup:	Získať plný text
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