Black box nonlinear model predictive control using recurrent neural network
A black box Nonlinear Model Predictive Control (NMPC) based on a Recurrent Neural Network (RNN) is implemented to solve two nonlinear benchmark examples: a Continuous Stirred Tank Reactor (CSTR) and Quadruple Tank Process (QTP). The RNN model is trained by a set of input and output data from the pla...
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| Main Authors: | , , |
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| Format: | Proceeding Paper |
| Language: | en |
| Published: |
2013
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/32567/1/Paper_30166_-_Camera_ready_Moumen_Mohammad.pdf http://irep.iium.edu.my/32567/ http://www.iium.edu.my/icmaae/2011/index.php?option=com_content&view=frontpage |
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