Multi-stage inference fuzzy logic control

Zong Mu Yeh; Hung Pin Chen

Multi-stage inference fuzzy logic control

Zong Mu Yeh^*
, Hung Pin Chen

^*Corresponding author for this work

Department of Mechatronic Engineering

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

5 Citations (Scopus)

Abstract

This paper presents a methodology to the design of a 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 multi-stage inference. This proposed method can reduce the design cycle time. The new method has been applied to a two-trailer-and-truck system. The simulation studies showed that the proposed method is feasible.

Original language	English
Pages	1153-1158
Number of pages	6
Publication status	Published - 1997
Event	Proceedings of the 1997 6th IEEE International Conference on Fussy Systems, FUZZ-IEEE'97. Part 1 (of 3) - Barcelona, Spain Duration: 1997 Jul 1 → 1997 Jul 5

Conference

Conference	Proceedings of the 1997 6th IEEE International Conference on Fussy Systems, FUZZ-IEEE'97. Part 1 (of 3)
City	Barcelona, Spain
Period	1997/07/01 → 1997/07/05

ASJC Scopus subject areas

Software
Theoretical Computer Science
Artificial Intelligence
Applied Mathematics

Cite this

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title = "Multi-stage inference fuzzy logic control",

abstract = "This paper presents a methodology to the design of a 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 multi-stage inference. This proposed method can reduce the design cycle time. The new method has been applied to a two-trailer-and-truck system. The simulation studies showed that the proposed method is feasible.",

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AB - This paper presents a methodology to the design of a 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 multi-stage inference. This proposed method can reduce the design cycle time. The new method has been applied to a two-trailer-and-truck system. The simulation studies showed that the proposed method is feasible.

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M3 - Paper

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Multi-stage inference fuzzy logic control

Abstract

Conference

ASJC Scopus subject areas

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