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: | , , |
|---|---|
| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2013
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/32567/ http://irep.iium.edu.my/32567/1/Paper_30166_-_Camera_ready_Moumen_Mohammad.pdf |
| _version_ | 1848780583590690816 |
|---|---|
| author | Hasan, Muhammad Idres, Moumen Abdelrahman, Mohammad |
| author_facet | Hasan, Muhammad Idres, Moumen Abdelrahman, Mohammad |
| author_sort | Hasan, Muhammad |
| building | IIUM Repository |
| collection | Online Access |
| description | 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 plant. A nonlinear observer based on Extended Kalman Filter (EKF) is used for the state estimation process. The implementation of successive linearization technique in NMPC shows an improvement in handling the plant nonlinearity and in the same time preserves all the important features of linear model predictive control (LMPC) with quadratic optimization function. To demonstrate the improvement, the NMPC performance is compared with LMPC based on identified state space model. Both examples show the superiority of the NMPC over LMPC. |
| first_indexed | 2025-11-14T15:35:59Z |
| format | Proceeding Paper |
| id | iium-32567 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T15:35:59Z |
| publishDate | 2013 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-325672013-11-11T08:31:32Z http://irep.iium.edu.my/32567/ Black box nonlinear model predictive control using recurrent neural network Hasan, Muhammad Idres, Moumen Abdelrahman, Mohammad TJ163.13 Power resources 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 plant. A nonlinear observer based on Extended Kalman Filter (EKF) is used for the state estimation process. The implementation of successive linearization technique in NMPC shows an improvement in handling the plant nonlinearity and in the same time preserves all the important features of linear model predictive control (LMPC) with quadratic optimization function. To demonstrate the improvement, the NMPC performance is compared with LMPC based on identified state space model. Both examples show the superiority of the NMPC over LMPC. 2013 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/32567/1/Paper_30166_-_Camera_ready_Moumen_Mohammad.pdf Hasan, Muhammad and Idres, Moumen and Abdelrahman, Mohammad (2013) Black box nonlinear model predictive control using recurrent neural network. In: 2nd International Conference on Mechanical, Automotive and Aerospace Engineering (ICMAAE 2013), 2-4 July 2013, Kuala Lumpur, Malaysia. http://www.iium.edu.my/icmaae/2011/index.php?option=com_content&view=frontpage |
| spellingShingle | TJ163.13 Power resources Hasan, Muhammad Idres, Moumen Abdelrahman, Mohammad Black box nonlinear model predictive control using recurrent neural network |
| title | Black box nonlinear model predictive control using recurrent neural network |
| title_full | Black box nonlinear model predictive control using recurrent neural network |
| title_fullStr | Black box nonlinear model predictive control using recurrent neural network |
| title_full_unstemmed | Black box nonlinear model predictive control using recurrent neural network |
| title_short | Black box nonlinear model predictive control using recurrent neural network |
| title_sort | black box nonlinear model predictive control using recurrent neural network |
| topic | TJ163.13 Power resources |
| url | 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 |