Predictive Control of the VAV System Based on Recurrent Wavelet Neural Network
2011 ◽
Vol 467-469
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pp. 928-933
Keyword(s):
An air supply control method of VAV system based on BP neural network is proposed in this paper, which combines with the recurrent wavelet neural network model, predictive control and optimization of parameters. With the proposed method, the air volume of the VAV system can be controlled accurately even if the change of the air is nonlinear and time-lapse. Compared with tradition control method, it has the advantages of rapidly converging, high control precision, strong skills of learning and wide application prospect.
2014 ◽
Vol 1044-1045
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pp. 881-884
2013 ◽
Vol 303-306
◽
pp. 1257-1260
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2020 ◽
Vol 782
◽
pp. 032040
2013 ◽
Vol 820
◽
pp. 117-121
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2011 ◽
Vol 383-390
◽
pp. 2242-2248
2013 ◽
Vol 385-386
◽
pp. 831-834
Keyword(s):
Keyword(s):
2011 ◽
Vol 201-203
◽
pp. 276-280
2013 ◽
Vol 310
◽
pp. 557-559
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