A neuro-fuzzy system and its application to vibration suppression

Chuen Jyh Chen, Shih-Ming Yang, Zi Cheng Wung

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Fuzzy system has been known to provide a framework for handling uncertainties and imprecision in real-world applications by taking linguistic information from human experts. However, difficulties arise in determining effectively the framework configuration, i.e., the number of rules, input and output membership functions in a fuzzy system. A fuzzy system design methodology by combining the neural network and fuzzy logic is developed in this paper. The neuro-fuzzy system that can handle both numerical and linguistic data is of a five-layer network. The system not only adaptively adjusts the fuzzy membership functions but also dynamically optimizes the linguistic-fuzzy rules by neural network learning algorithm. It is shown both analytically and experimentally that engineering applications of the neuro-fuzzy system to modeling and control have been very successful.

Original languageEnglish
Pages (from-to)195-202
Number of pages8
JournalJournal of Aeronautics, Astronautics and Aviation
Volume41
Issue number3
Publication statusPublished - 2009 Jan 1

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fuzzy systems
fuzzy mathematics
Fuzzy systems
vibration
learning
linguistics
retarding
engineering
methodology
Linguistics
membership functions
modeling
Membership functions
Neural networks
Network layers
Fuzzy rules
systems engineering
Learning algorithms
Fuzzy logic
logic

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Space and Planetary Science

Cite this

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A neuro-fuzzy system and its application to vibration suppression. / Chen, Chuen Jyh; Yang, Shih-Ming; Wung, Zi Cheng.

In: Journal of Aeronautics, Astronautics and Aviation, Vol. 41, No. 3, 01.01.2009, p. 195-202.

Research output: Contribution to journalArticle

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