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...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/32567/ http://irep.iium.edu.my/32567/ http://irep.iium.edu.my/32567/1/Paper_30166_-_Camera_ready_Moumen_Mohammad.pdf |