Nonlinear adaptive control using a fuzzy switching mechanism based on improved quasi-ARX neural network

Lan Wang; Yu Cheng; Jinglu Hu

doi:10.1109/IJCNN.2010.5596819

Nonlinear adaptive control using a fuzzy switching mechanism based on improved quasi-ARX neural network

Lan Wang^*, Yu Cheng, Jinglu Hu

^*この研究の対応する著者

大学院情報生産システム研究科

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

This paper presents a novel approach for designing adaptive controller of nonlinear dynamical systems based on an improved quasi-ARX neural network prediction model. The improved quasi-ARX neural network prediction model has two parts: the linear part is used for stability and the nonlinear part is used to satisfy accuracy requirement. Then, we can obtain a linear controller and a nonlinear controller based on the characteristic of the improved quasi-ARX neural network prediction model. A fuzzy switching algorithm is designed between the two controllers. Theory analysis and simulations are given to show the effectiveness of the proposed method both on stability and accuracy.

本文言語	English
ホスト出版物のタイトル	2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010
DOI	https://doi.org/10.1109/IJCNN.2010.5596819
出版ステータス	Published - 2010
イベント	2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010 - Barcelona, Spain 継続期間: 2010 7月 18 → 2010 7月 23

出版物シリーズ

名前	Proceedings of the International Joint Conference on Neural Networks

Conference

Conference	2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010
国/地域	Spain
City	Barcelona
Period	10/7/18 → 10/7/23

ASJC Scopus subject areas

ソフトウェア
人工知能

文献へのアクセス

10.1109/IJCNN.2010.5596819

他のファイルとリンク

引用スタイル

Wang, L., Cheng, Y., & Hu, J. (2010). Nonlinear adaptive control using a fuzzy switching mechanism based on improved quasi-ARX neural network. In 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010 記事 5596819 (Proceedings of the International Joint Conference on Neural Networks). https://doi.org/10.1109/IJCNN.2010.5596819

Nonlinear adaptive control using a fuzzy switching mechanism based on improved quasi-ARX neural network. / Wang, Lan; Cheng, Yu; Hu, Jinglu.
2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010. 2010. 5596819 (Proceedings of the International Joint Conference on Neural Networks).

研究成果: Conference contribution

Wang, L, Cheng, Y & Hu, J 2010, Nonlinear adaptive control using a fuzzy switching mechanism based on improved quasi-ARX neural network. in 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010., 5596819, Proceedings of the International Joint Conference on Neural Networks, 2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010, Barcelona, Spain, 10/7/18. https://doi.org/10.1109/IJCNN.2010.5596819

Wang L, Cheng Y, Hu J. Nonlinear adaptive control using a fuzzy switching mechanism based on improved quasi-ARX neural network. In 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010. 2010. 5596819. (Proceedings of the International Joint Conference on Neural Networks). doi: 10.1109/IJCNN.2010.5596819

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title = "Nonlinear adaptive control using a fuzzy switching mechanism based on improved quasi-ARX neural network",

abstract = "This paper presents a novel approach for designing adaptive controller of nonlinear dynamical systems based on an improved quasi-ARX neural network prediction model. The improved quasi-ARX neural network prediction model has two parts: the linear part is used for stability and the nonlinear part is used to satisfy accuracy requirement. Then, we can obtain a linear controller and a nonlinear controller based on the characteristic of the improved quasi-ARX neural network prediction model. A fuzzy switching algorithm is designed between the two controllers. Theory analysis and simulations are given to show the effectiveness of the proposed method both on stability and accuracy.",

author = "Lan Wang and Yu Cheng and Jinglu Hu",

year = "2010",

doi = "10.1109/IJCNN.2010.5596819",

language = "English",

isbn = "9781424469178",

series = "Proceedings of the International Joint Conference on Neural Networks",

booktitle = "2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010",

note = "2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010 ; Conference date: 18-07-2010 Through 23-07-2010",

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AU - Cheng, Yu

AU - Hu, Jinglu

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N2 - This paper presents a novel approach for designing adaptive controller of nonlinear dynamical systems based on an improved quasi-ARX neural network prediction model. The improved quasi-ARX neural network prediction model has two parts: the linear part is used for stability and the nonlinear part is used to satisfy accuracy requirement. Then, we can obtain a linear controller and a nonlinear controller based on the characteristic of the improved quasi-ARX neural network prediction model. A fuzzy switching algorithm is designed between the two controllers. Theory analysis and simulations are given to show the effectiveness of the proposed method both on stability and accuracy.

AB - This paper presents a novel approach for designing adaptive controller of nonlinear dynamical systems based on an improved quasi-ARX neural network prediction model. The improved quasi-ARX neural network prediction model has two parts: the linear part is used for stability and the nonlinear part is used to satisfy accuracy requirement. Then, we can obtain a linear controller and a nonlinear controller based on the characteristic of the improved quasi-ARX neural network prediction model. A fuzzy switching algorithm is designed between the two controllers. Theory analysis and simulations are given to show the effectiveness of the proposed method both on stability and accuracy.

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M3 - Conference contribution

AN - SCOPUS:79959407267

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T3 - Proceedings of the International Joint Conference on Neural Networks

BT - 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010

T2 - 2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010

Y2 - 18 July 2010 through 23 July 2010

ER -

Nonlinear adaptive control using a fuzzy switching mechanism based on improved quasi-ARX neural network

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出版物シリーズ

Conference

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