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CLC number: TP273.4
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 0000-00-00
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Fuzzy NN based predictive control and its application to green liquor system
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LI Jiang, ZHOU Wei, ZHANG Liang-jun, LI Ping. Fuzzy NN based predictive control and its application to green liquor system[J]. Journal of Zhejiang University Science A, 2002, 3(1): 57-59.
@article{title="Fuzzy NN based predictive control and its application to green liquor system",
author="LI Jiang, ZHOU Wei, ZHANG Liang-jun, LI Ping",
journal="Journal of Zhejiang University Science A",
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pages="57-59",
year="2002",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2002.0057"
}
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%DOI 10.1631/jzus.2002.0057
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A1 - ZHANG Liang-jun
A1 - LI Ping
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DOI - 10.1631/jzus.2002.0057
Abstract: The fuzzy NN predictive control algorithm introduced in this paper uses fuzzy neural network to model the nonlinear MIMO process. Its training method that integrates LS and BP algorithm brings quick convergence. GPC algorithm is used as the predictive component. The fuzzy neural network has six layers, including input layer, output layer and four hidden layers. An application to a MIMO nonlinear process(green liquor system of the recovery system in a pulp factory shows that this algorithm has better performance than normal PID algrithm.
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