Black box nonlinear model predictive control using recurrent neural network

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...

Full description

Bibliographic Details
Main Authors: Hasan, Muhammad, Idres, Moumen, Abdelrahman, Mohammad
Format: Conference or Workshop Item
Language:English
Published: 2013
Subjects:
TJ163.13 Power resources
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
id iium-32567
recordtype eprints
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 Conference or Workshop Item 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
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic TJ163.13 Power resources
spellingShingle TJ163.13 Power resources
Hasan, Muhammad
Idres, Moumen
Abdelrahman, Mohammad
Black box nonlinear model predictive control using recurrent neural network
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.
format Conference or Workshop Item
author Hasan, Muhammad
Idres, Moumen
Abdelrahman, Mohammad
author_facet Hasan, Muhammad
Idres, Moumen
Abdelrahman, Mohammad
author_sort Hasan, Muhammad
title Black box nonlinear model predictive control using recurrent neural network
title_short 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_sort black box nonlinear model predictive control using recurrent neural network
publishDate 2013
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
first_indexed 2023-09-18T20:46:59Z
last_indexed 2023-09-18T20:46:59Z
_version_ 1777409741026230272

Similar Items