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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IEEE transactions on industrial electronics (1982) Ročník 70; číslo 11; s. 1 - 10
Hlavní autoři:	Huang, Keke, Wei, Ke, Li, Fanbiao, Yang, Chunhua, Gui, Weihua
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.11.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	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 přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!