A neuro-fuzzy system and its application to vibration suppression

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

Research output: Contribution to journalArticlepeer-review

7 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

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Space and Planetary Science

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