Vibration control of smart structures by using neural networks

S. M. Yang, G. S. Lee

研究成果: Article同行評審

46 引文 斯高帕斯(Scopus)


Smart structure with build-in sensor(s) and actuator(s) that can actively and adoptively change its physical geometry and properties has been considered one of the best candidates in vibration control applications. Implementation of neural networks to system identification and vibration suppression of a smart structure is conducted in this paper. Three neural networks are developed, one for system identification, the second for on-line state estimation, and the third for vibration suppression. It is shown both in analysis and in experiment that these neural networks can identify, estimate, and suppress the vibration of a composite structure by the embedded piezoelectric sensor and actuator. The controller is also shown to be robust to system parameter variations.

頁(從 - 到)34-39
期刊Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME
出版狀態Published - 1997 三月

All Science Journal Classification (ASJC) codes

  • 控制與系統工程
  • 資訊系統
  • 儀器
  • 機械工業
  • 電腦科學應用


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