Vibration suppression of adaptive truss structure using fuzzy neural network

Shaoze Yan, Kai Zheng, Yangmin Li

Research output: Journal article publicationConference articleAcademic researchpeer-review

5 Citations (Scopus)


An adaptive truss structure with self-learning active vibration control system is developed. A fuzzy-neural network (FNN) controller with adaptive membership functions is presented. The experimental setup of a two-bay truss structure with active members is constructed, and the FNN controller is applied to vibration suppression of the truss. The controller first senses the output of the accelerometer as an error to activate the adaptation of the weights of the controller, and then a control command signal is calculated based on the FNN inference mechanism to drive the active members. This paper describes active vibration control experiments of the truss structure using fuzzy neural network.
Original languageEnglish
Pages (from-to)155-160
Number of pages6
JournalLecture Notes in Computer Science
Issue numberIII
Publication statusPublished - 26 Sept 2005
Externally publishedYes
EventSecond International Symposium on Neural Networks: Advances in Neural Networks - ISNN 2005 - Chongqing, China
Duration: 30 May 20051 Jun 2005

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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