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

Imam Sutrisno; Mohammad Abu Jami'In; Takayuki Furuzuki; Norman Mariun; Mohd Hamiruce Marhaban

doi:10.1109/AMS.2014.30

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

Imam Sutrisno, Mohammad Abu Jami'In, Takayuki Furuzuki, Norman Mariun, Mohd Hamiruce Marhaban

大学院情報生産システム研究科

研究成果: Conference contribution

抄録

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.

本文言語	English
ホスト出版物のタイトル	Proceedings - Asia Modelling Symposium 2014: 8th Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2014
出版社	Institute of Electrical and Electronics Engineers Inc.
ページ	104-109
ページ数	6
ISBN（印刷版）	9781479964871
DOI	https://doi.org/10.1109/AMS.2014.30
出版ステータス	Published - 2014 4月 2
イベント	2014 8th Asia International Conference on Mathematical Modelling and Computer Simulation - Asia Modelling Symposium, AMS 2014 - Kuala Lumpur, Malaysia 継続期間: 2014 9月 23 → 2014 9月 25

Other

Other	2014 8th Asia International Conference on Mathematical Modelling and Computer Simulation - Asia Modelling Symposium, AMS 2014
国/地域	Malaysia
City	Kuala Lumpur
Period	14/9/23 → 14/9/25

ASJC Scopus subject areas

モデリングとシミュレーション

文献へのアクセス

10.1109/AMS.2014.30

他のファイルとリンク

引用スタイル

Sutrisno, I., Jami'In, M. A., Furuzuki, T., Mariun, N., & Marhaban, M. H. (2014). Nonlinear model-predictive control based on quasi-ARX radial-basis function-neural-network. In Proceedings - Asia Modelling Symposium 2014: 8th Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2014 (pp. 104-109). Article 7079283 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AMS.2014.30

Nonlinear model-predictive control based on quasi-ARX radial-basis function-neural-network. / Sutrisno, Imam; Jami'In, Mohammad Abu; Furuzuki, Takayuki その他.
Proceedings - Asia Modelling Symposium 2014: 8th Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 104-109 7079283.

研究成果: Conference contribution

Sutrisno, I, Jami'In, MA, Furuzuki, T, Mariun, N & Marhaban, MH 2014, Nonlinear model-predictive control based on quasi-ARX radial-basis function-neural-network. in Proceedings - Asia Modelling Symposium 2014: 8th Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2014., 7079283, Institute of Electrical and Electronics Engineers Inc., pp. 104-109, 2014 8th Asia International Conference on Mathematical Modelling and Computer Simulation - Asia Modelling Symposium, AMS 2014, Kuala Lumpur, Malaysia, 14/9/23. https://doi.org/10.1109/AMS.2014.30

Sutrisno I, Jami'In MA, Furuzuki T, Mariun N, Marhaban MH. Nonlinear model-predictive control based on quasi-ARX radial-basis function-neural-network. In Proceedings - Asia Modelling Symposium 2014: 8th Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 104-109. 7079283 doi: 10.1109/AMS.2014.30

Sutrisno, Imam ; Jami'In, Mohammad Abu ; Furuzuki, Takayuki その他. / Nonlinear model-predictive control based on quasi-ARX radial-basis function-neural-network. Proceedings - Asia Modelling Symposium 2014: 8th Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 104-109

@inproceedings{8e3461612f0d423b93c40450f1f5fc8b,

title = "Nonlinear model-predictive control based on quasi-ARX radial-basis function-neural-network",

abstract = "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.",

keywords = "moving average filter fuzzy switching law, nonlinear model-predictive control, quasi-ARX radial basis function neural network",

author = "Imam Sutrisno and Jami'In, {Mohammad Abu} and Takayuki Furuzuki and Norman Mariun and Marhaban, {Mohd Hamiruce}",

year = "2014",

month = apr,

day = "2",

doi = "10.1109/AMS.2014.30",

language = "English",

isbn = "9781479964871",

pages = "104--109",

booktitle = "Proceedings - Asia Modelling Symposium 2014: 8th Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2014",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "2014 8th Asia International Conference on Mathematical Modelling and Computer Simulation - Asia Modelling Symposium, AMS 2014 ; Conference date: 23-09-2014 Through 25-09-2014",

}

TY - GEN

T1 - Nonlinear model-predictive control based on quasi-ARX radial-basis function-neural-network

AU - Sutrisno, Imam

AU - Jami'In, Mohammad Abu

AU - Furuzuki, Takayuki

AU - Mariun, Norman

AU - Marhaban, Mohd Hamiruce

PY - 2014/4/2

Y1 - 2014/4/2

N2 - 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.

AB - 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.

KW - moving average filter fuzzy switching law

KW - nonlinear model-predictive control

KW - quasi-ARX radial basis function neural network

UR - http://www.scopus.com/inward/record.url?scp=84946687737&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84946687737&partnerID=8YFLogxK

U2 - 10.1109/AMS.2014.30

DO - 10.1109/AMS.2014.30

M3 - Conference contribution

AN - SCOPUS:84946687737

SN - 9781479964871

SP - 104

EP - 109

BT - Proceedings - Asia Modelling Symposium 2014: 8th Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2014

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2014 8th Asia International Conference on Mathematical Modelling and Computer Simulation - Asia Modelling Symposium, AMS 2014

Y2 - 23 September 2014 through 25 September 2014

ER -

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

抄録

Other

ASJC Scopus subject areas

文献へのアクセス

他のファイルとリンク

フィンガープリント

引用スタイル