Optimization of Fuzzy Membership Function based on the NCOS function method

Jingying Li; Xingjian Jing; Zhengchao Li; Xianlin Huang

doi:10.1109/IECON43393.2020.9255252

Optimization of Fuzzy Membership Function based on the NCOS function method

Jingying Li, Xingjian Jing, Zhengchao Li, Xianlin Huang

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

This paper investigates the parameter optimization problem of membership functions for fuzzy-model-based control under imperfect premise matching. A novel frequency domain algorithm which can clearly relate the membership function parameters to the targeted control performance is developed, and consequently an optimization approach to the membership function parameters is then established based on the resulting nonlinear characteristic output spectrum function (nCOS). Compared to traditional search-based optimization approach, this method can give a more detailed result with less time consuming and an in-depth understanding of nonlinear influence rather than just optimal results. With this novel method, performance of the fuzzy-model-based controller is further enhanced. Finally, the fuzzy membership functions optimization method is applied to nonlinear systems to obtain improved system performance.

Original language	English
Title of host publication	Proceedings - IECON 2020
Subtitle of host publication	46th Annual Conference of the IEEE Industrial Electronics Society
Publisher	IEEE Computer Society
Pages	323-328
Number of pages	6
ISBN (Electronic)	9781728154145
DOIs	https://doi.org/10.1109/IECON43393.2020.9255252
Publication status	Published - 18 Oct 2020
Event	46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020 - Virtual, Singapore, Singapore Duration: 19 Oct 2020 → 21 Oct 2020

Publication series

Name	IECON Proceedings (Industrial Electronics Conference)
Volume	2020-October

Conference

Conference	46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020
Country/Territory	Singapore
City	Virtual, Singapore
Period	19/10/20 → 21/10/20

Keywords

frequency domain method
Membership function optimization

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

More information

10.1109/IECON43393.2020.9255252

Cite this

Li, J., Jing, X., Li, Z., & Huang, X. (2020). Optimization of Fuzzy Membership Function based on the NCOS function method. In Proceedings - IECON 2020: 46th Annual Conference of the IEEE Industrial Electronics Society (pp. 323-328). Article 9255252 (IECON Proceedings (Industrial Electronics Conference); Vol. 2020-October). IEEE Computer Society. https://doi.org/10.1109/IECON43393.2020.9255252

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title = "Optimization of Fuzzy Membership Function based on the NCOS function method",

abstract = "This paper investigates the parameter optimization problem of membership functions for fuzzy-model-based control under imperfect premise matching. A novel frequency domain algorithm which can clearly relate the membership function parameters to the targeted control performance is developed, and consequently an optimization approach to the membership function parameters is then established based on the resulting nonlinear characteristic output spectrum function (nCOS). Compared to traditional search-based optimization approach, this method can give a more detailed result with less time consuming and an in-depth understanding of nonlinear influence rather than just optimal results. With this novel method, performance of the fuzzy-model-based controller is further enhanced. Finally, the fuzzy membership functions optimization method is applied to nonlinear systems to obtain improved system performance.",

keywords = "frequency domain method, Membership function optimization",

author = "Jingying Li and Xingjian Jing and Zhengchao Li and Xianlin Huang",

note = "Funding Information: This work was supported by a General Research Fund project (15206717) of Hong Kong RGC. Publisher Copyright: {\textcopyright} 2020 IEEE.; 46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020 ; Conference date: 19-10-2020 Through 21-10-2020",

year = "2020",

month = oct,

day = "18",

doi = "10.1109/IECON43393.2020.9255252",

language = "English",

series = "IECON Proceedings (Industrial Electronics Conference)",

publisher = "IEEE Computer Society",

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Li, J, Jing, X, Li, Z & Huang, X 2020, Optimization of Fuzzy Membership Function based on the NCOS function method. in Proceedings - IECON 2020: 46th Annual Conference of the IEEE Industrial Electronics Society., 9255252, IECON Proceedings (Industrial Electronics Conference), vol. 2020-October, IEEE Computer Society, pp. 323-328, 46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020, Virtual, Singapore, Singapore, 19/10/20. https://doi.org/10.1109/IECON43393.2020.9255252

Optimization of Fuzzy Membership Function based on the NCOS function method. / Li, Jingying; Jing, Xingjian; Li, Zhengchao et al.
Proceedings - IECON 2020: 46th Annual Conference of the IEEE Industrial Electronics Society. IEEE Computer Society, 2020. p. 323-328 9255252 (IECON Proceedings (Industrial Electronics Conference); Vol. 2020-October).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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Optimization of Fuzzy Membership Function based on the NCOS function method

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