Improved interval type-2 fuzzy logic controller

Jiang Tao Cao; Ping Li; Hong Hai Liu

Improved interval type-2 fuzzy logic controller

Jiang Tao Cao
, Ping Li^*
, Hong Hai Liu

^*Corresponding author for this work

Northwestern Polytechnical University Xian
Liaoning University of Petroleum and Chemical Technology
University of Portsmouth

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

In this paper, an improved interval type-2 fuzzy logic controller is proposed to deal with the problem of losing uncertain information in the type-2 fuzzy type reduction process. By fully using the type-2 fuzzy reasoning results, the interval fuzzy outputs are re-optimized. The optimal performance can be directly related with the controlled system. Based on this, the crisp control outputs are obtained to improve the whole system performance. Simulations on the non-linerar vehicle active suspension system are given, and the results show the effectiveness of proposed method.

Original language	English
Pages (from-to)	1597-1600
Number of pages	4
Journal	Kongzhi yu Juece/Control and Decision
Volume	24
Issue number	10
State	Published - Oct 2009
Externally published	Yes

Keywords

Further optimization
Fuzzy logic controller
Interval reasoning
Type-2 fuzzy logic

Cite this

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title = "Improved interval type-2 fuzzy logic controller",

abstract = "In this paper, an improved interval type-2 fuzzy logic controller is proposed to deal with the problem of losing uncertain information in the type-2 fuzzy type reduction process. By fully using the type-2 fuzzy reasoning results, the interval fuzzy outputs are re-optimized. The optimal performance can be directly related with the controlled system. Based on this, the crisp control outputs are obtained to improve the whole system performance. Simulations on the non-linerar vehicle active suspension system are given, and the results show the effectiveness of proposed method.",

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AU - Li, Ping

AU - Liu, Hong Hai

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N2 - In this paper, an improved interval type-2 fuzzy logic controller is proposed to deal with the problem of losing uncertain information in the type-2 fuzzy type reduction process. By fully using the type-2 fuzzy reasoning results, the interval fuzzy outputs are re-optimized. The optimal performance can be directly related with the controlled system. Based on this, the crisp control outputs are obtained to improve the whole system performance. Simulations on the non-linerar vehicle active suspension system are given, and the results show the effectiveness of proposed method.

AB - In this paper, an improved interval type-2 fuzzy logic controller is proposed to deal with the problem of losing uncertain information in the type-2 fuzzy type reduction process. By fully using the type-2 fuzzy reasoning results, the interval fuzzy outputs are re-optimized. The optimal performance can be directly related with the controlled system. Based on this, the crisp control outputs are obtained to improve the whole system performance. Simulations on the non-linerar vehicle active suspension system are given, and the results show the effectiveness of proposed method.

KW - Further optimization

KW - Fuzzy logic controller

KW - Interval reasoning

KW - Type-2 fuzzy logic

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M3 - 文章

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JF - Kongzhi yu Juece/Control and Decision

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ER -

Improved interval type-2 fuzzy logic controller

Abstract

Keywords

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