Fuzzy control rules extraction from perception-based information using computing with words

Changjiu Zhou; Da Ruan

doi:10.1016/S0020-0255(02)00169-X

Fuzzy control rules extraction from perception-based information using computing with words

Changjiu Zhou, Da Ruan

Research output › peer-review

Abstract

In this paper, a novel approach to extract fuzzy control rules from perception-based information using computing with words (CW) is firstly presented. The approach is based on applying fuzzy numbers and their arithmetic operations. The fuzzy Lyapunov synthesis, which gives a linguistic description on the plant and the control objective, is used to design a stable fuzzy controller. Secondly, that the traditional fuzzy-control rules can be derived systematically, rather than heuristically, and their stability can be guaranteed is demonstrated. Moreover, by introducing fuzzy numbers and their arithmetic operations, the "words" represented by fuzzy numbers could be efficiently manipulated for fuzzy controller design. The performance and applicability of the proposed method are illustrated through the practical implementation of fuzzy control of a pole-balancing vehicle. © 2002 Elsevier Science Inc. All rights reserved.

Original language	English
Pages (from-to)	275-290
Journal	Information Sciences
Volume	142
Issue number	1-4
DOIs	https://doi.org/10.1016/S0020-0255(02)00169-X
State	Published - 2002
Event	2000 - 4th International FLINS Conference: Intelligent Information Systems and Applications - Brugge Duration: 28 Aug 2000 → 30 Aug 2000 Conference number: FLINS 2000 https://www.sciencedirect.com/journal/information-sciences/vol/142/issue/1

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10.1016/S0020-0255(02)00169-XLicense: Unspecified

Cite this

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title = "Fuzzy control rules extraction from perception-based information using computing with words",

abstract = "In this paper, a novel approach to extract fuzzy control rules from perception-based information using computing with words (CW) is firstly presented. The approach is based on applying fuzzy numbers and their arithmetic operations. The fuzzy Lyapunov synthesis, which gives a linguistic description on the plant and the control objective, is used to design a stable fuzzy controller. Secondly, that the traditional fuzzy-control rules can be derived systematically, rather than heuristically, and their stability can be guaranteed is demonstrated. Moreover, by introducing fuzzy numbers and their arithmetic operations, the {"}words{"} represented by fuzzy numbers could be efficiently manipulated for fuzzy controller design. The performance and applicability of the proposed method are illustrated through the practical implementation of fuzzy control of a pole-balancing vehicle. {\textcopyright} 2002 Elsevier Science Inc. All rights reserved.",

keywords = "Fuzzy control, Lyapunov synthesis, Stability, Computing with words, Perception-based information, Fuzzy numbers",

author = "Changjiu Zhou and Da Ruan",

note = "Score=10; 2000 - 4th International FLINS Conference : Intelligent Information Systems and Applications ; Conference date: 28-08-2000 Through 30-08-2000",

year = "2002",

doi = "10.1016/S0020-0255(02)00169-X",

language = "English",

volume = "142",

pages = "275--290",

journal = "Information Sciences",

issn = "0020-0255",

publisher = "Elsevier",

number = "1-4",

url = "https://www.sciencedirect.com/journal/information-sciences/vol/142/issue/1",

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TY - JOUR

T1 - Fuzzy control rules extraction from perception-based information using computing with words

AU - Zhou, Changjiu

AU - Ruan, Da

N1 - Conference code: FLINS 2000

PY - 2002

Y1 - 2002

N2 - In this paper, a novel approach to extract fuzzy control rules from perception-based information using computing with words (CW) is firstly presented. The approach is based on applying fuzzy numbers and their arithmetic operations. The fuzzy Lyapunov synthesis, which gives a linguistic description on the plant and the control objective, is used to design a stable fuzzy controller. Secondly, that the traditional fuzzy-control rules can be derived systematically, rather than heuristically, and their stability can be guaranteed is demonstrated. Moreover, by introducing fuzzy numbers and their arithmetic operations, the "words" represented by fuzzy numbers could be efficiently manipulated for fuzzy controller design. The performance and applicability of the proposed method are illustrated through the practical implementation of fuzzy control of a pole-balancing vehicle. © 2002 Elsevier Science Inc. All rights reserved.

AB - In this paper, a novel approach to extract fuzzy control rules from perception-based information using computing with words (CW) is firstly presented. The approach is based on applying fuzzy numbers and their arithmetic operations. The fuzzy Lyapunov synthesis, which gives a linguistic description on the plant and the control objective, is used to design a stable fuzzy controller. Secondly, that the traditional fuzzy-control rules can be derived systematically, rather than heuristically, and their stability can be guaranteed is demonstrated. Moreover, by introducing fuzzy numbers and their arithmetic operations, the "words" represented by fuzzy numbers could be efficiently manipulated for fuzzy controller design. The performance and applicability of the proposed method are illustrated through the practical implementation of fuzzy control of a pole-balancing vehicle. © 2002 Elsevier Science Inc. All rights reserved.

KW - Fuzzy control

KW - Lyapunov synthesis

KW - Stability

KW - Computing with words

KW - Perception-based information

KW - Fuzzy numbers

U2 - 10.1016/S0020-0255(02)00169-X

DO - 10.1016/S0020-0255(02)00169-X

M3 - Article

SN - 0020-0255

VL - 142

SP - 275

EP - 290

JO - Information Sciences

JF - Information Sciences

IS - 1-4

T2 - 2000 - 4th International FLINS Conference

Y2 - 28 August 2000 through 30 August 2000

ER -