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14

CCE
2008

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Differential recurrent neural network based predictive control

13 years 4 months ago

Differential recurrent neural network based predictive control

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An efficient algorithm to train general differential recurrent neural networks is proposed. The trained network can be directly used as the internal model of a predictive controller. The efficiency and effectiveness of the approach are demonstrated through a two-CSTR case study, where a multi-layer perceptron differential recurrent network is adopted.

R. K. Al Seyab, Yi Cao

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CCE 2007 | CCE 2008 | Efficient Algorithm | Trained Network | Two-CSTR Case Study |

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Added	09 Dec 2010
Updated	09 Dec 2010
Type	Journal
Year	2008
Where	CCE
Authors	R. K. Al Seyab, Yi Cao

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