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Nonlinear model-predictive control based on quasi-ARX radial-basis function-neural-network

A nonlinear model-predictive control (NMPC) is demonstrated for nonlinear systems using an improved fuzzy switching law. The proposed moving average filter fuzzy switching law (MAFFSL) is composed of a quasi-ARX radial basis function neural network (RBFNN) prediction model and a fuzzy switching law....

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Sutrisno, Imam, Abu Jami’in, Mohammad, Hu, Jinglu, Marhaban, Mohammad Hamiruce, Mariun, Norman
التنسيق: Conference or Workshop Item
منشور في: IEEE 2014
الوصول للمادة أونلاين:http://psasir.upm.edu.my/id/eprint/41489/
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id my.upm.eprints.41489
record_format eprints
spelling my.upm.eprints.414892016-01-28T02:52:00Z http://psasir.upm.edu.my/id/eprint/41489/ Nonlinear model-predictive control based on quasi-ARX radial-basis function-neural-network Sutrisno, Imam Abu Jami’in, Mohammad Hu, Jinglu Marhaban, Mohammad Hamiruce Mariun, Norman A nonlinear model-predictive control (NMPC) is demonstrated for nonlinear systems using an improved fuzzy switching law. The proposed moving average filter fuzzy switching law (MAFFSL) is composed of a quasi-ARX radial basis function neural network (RBFNN) prediction model and a fuzzy switching law. An adaptive controller is designed based on a NMPC. a MAFFSL is constructed based on the system switching criterion function which is better than the (ON/OFF) switching law and a RBFNN is used to replace the neural network (NN) in the quasi-ARX black box model which is understood in terms of parameters and is not an absolute black box model, in comparison with NN. The proposed controller performance is verified through numerical simulations to demonstrate the effectiveness of the proposed method. IEEE 2014 Conference or Workshop Item NonPeerReviewed Sutrisno, Imam and Abu Jami’in, Mohammad and Hu, Jinglu and Marhaban, Mohammad Hamiruce and Mariun, Norman (2014) Nonlinear model-predictive control based on quasi-ARX radial-basis function-neural-network. In: 8th Asia Modelling Symposium (AMS 2014), 23-25 Sept. 2014 , Taipei, Taiwan. (pp. 104-109). 10.1109/AMS.2014.30
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description A nonlinear model-predictive control (NMPC) is demonstrated for nonlinear systems using an improved fuzzy switching law. The proposed moving average filter fuzzy switching law (MAFFSL) is composed of a quasi-ARX radial basis function neural network (RBFNN) prediction model and a fuzzy switching law. An adaptive controller is designed based on a NMPC. a MAFFSL is constructed based on the system switching criterion function which is better than the (ON/OFF) switching law and a RBFNN is used to replace the neural network (NN) in the quasi-ARX black box model which is understood in terms of parameters and is not an absolute black box model, in comparison with NN. The proposed controller performance is verified through numerical simulations to demonstrate the effectiveness of the proposed method.
format Conference or Workshop Item
author Sutrisno, Imam
Abu Jami’in, Mohammad
Hu, Jinglu
Marhaban, Mohammad Hamiruce
Mariun, Norman
spellingShingle Sutrisno, Imam
Abu Jami’in, Mohammad
Hu, Jinglu
Marhaban, Mohammad Hamiruce
Mariun, Norman
Nonlinear model-predictive control based on quasi-ARX radial-basis function-neural-network
author_facet Sutrisno, Imam
Abu Jami’in, Mohammad
Hu, Jinglu
Marhaban, Mohammad Hamiruce
Mariun, Norman
author_sort Sutrisno, Imam
title Nonlinear model-predictive control based on quasi-ARX radial-basis function-neural-network
title_short Nonlinear model-predictive control based on quasi-ARX radial-basis function-neural-network
title_full Nonlinear model-predictive control based on quasi-ARX radial-basis function-neural-network
title_fullStr Nonlinear model-predictive control based on quasi-ARX radial-basis function-neural-network
title_full_unstemmed Nonlinear model-predictive control based on quasi-ARX radial-basis function-neural-network
title_sort nonlinear model-predictive control based on quasi-arx radial-basis function-neural-network
publisher IEEE
publishDate 2014
url http://psasir.upm.edu.my/id/eprint/41489/
_version_ 1643833012125696000
score 13.251813

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