Bi-tree multi-stage inference fuzzy control system

Z. M. Yeh; H. P. Chen

Bi-tree multi-stage inference fuzzy control system

Z. M. Yeh^*
, H. P. Chen

^*Corresponding author for this work

Department of Mechatronic Engineering

Research output: Contribution to conference › Paper › peer-review

Abstract

This paper presents a methodology to the design of a binary tree multi-stage inference fuzzy. Controller in which the consequence in an inference stage is passed to the next stage as fact, and so forth. A new general method which is based on a performance index of the control system is used to generate fuzzy rule bases for the bi-tree multi-stage inference. This proposed method can be used to reduce the complexity of fuzzy rule sets. The new method has been applied to control a truck-and-two-trailer system. The simulation studies showed that the proposed method is feasible.

Original language	English
Pages	55-60
Number of pages	6
Publication status	Published - 1996
Event	Proceedings of the 1996 Asian Fuzzy Systems Symposium - Kenting, Taiwan Duration: 1996 Dec 11 → 1996 Dec 14

Conference

Conference	Proceedings of the 1996 Asian Fuzzy Systems Symposium
City	Kenting, Taiwan
Period	1996/12/11 → 1996/12/14

ASJC Scopus subject areas

General Engineering

Cite this

@conference{706f40c8fa9e4a8c8de08a66860b88a8,

title = "Bi-tree multi-stage inference fuzzy control system",

abstract = "This paper presents a methodology to the design of a binary tree multi-stage inference fuzzy. Controller in which the consequence in an inference stage is passed to the next stage as fact, and so forth. A new general method which is based on a performance index of the control system is used to generate fuzzy rule bases for the bi-tree multi-stage inference. This proposed method can be used to reduce the complexity of fuzzy rule sets. The new method has been applied to control a truck-and-two-trailer system. The simulation studies showed that the proposed method is feasible.",

author = "Yeh, \{Z. M.\} and Chen, \{H. P.\}",

year = "1996",

language = "English",

pages = "55--60",

note = "Proceedings of the 1996 Asian Fuzzy Systems Symposium ; Conference date: 11-12-1996 Through 14-12-1996",

}

TY - CONF

T1 - Bi-tree multi-stage inference fuzzy control system

AU - Yeh, Z. M.

AU - Chen, H. P.

PY - 1996

Y1 - 1996

N2 - This paper presents a methodology to the design of a binary tree multi-stage inference fuzzy. Controller in which the consequence in an inference stage is passed to the next stage as fact, and so forth. A new general method which is based on a performance index of the control system is used to generate fuzzy rule bases for the bi-tree multi-stage inference. This proposed method can be used to reduce the complexity of fuzzy rule sets. The new method has been applied to control a truck-and-two-trailer system. The simulation studies showed that the proposed method is feasible.

AB - This paper presents a methodology to the design of a binary tree multi-stage inference fuzzy. Controller in which the consequence in an inference stage is passed to the next stage as fact, and so forth. A new general method which is based on a performance index of the control system is used to generate fuzzy rule bases for the bi-tree multi-stage inference. This proposed method can be used to reduce the complexity of fuzzy rule sets. The new method has been applied to control a truck-and-two-trailer system. The simulation studies showed that the proposed method is feasible.

UR - https://www.scopus.com/pages/publications/0030365119

UR - https://www.scopus.com/pages/publications/0030365119#tab=citedBy

M3 - Paper

AN - SCOPUS:0030365119

SP - 55

EP - 60

T2 - Proceedings of the 1996 Asian Fuzzy Systems Symposium

Y2 - 11 December 1996 through 14 December 1996

ER -

Bi-tree multi-stage inference fuzzy control system

Abstract

Conference

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this