Active control with optical fiber sensors and neural networks. I: Theoretical analysis

Tzu-Kang Lin*, Kuo Chun Chang, Lip Lai Chung, Yung Bin Lin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


To implement the concept of a smart structure, a smart active control system is presented. Both fiber Bragg grating (FBG) sensors and neural networks are utilized to construct a system similar to the human being. The smart system is comprised of three parts: a structural condition surveillance system, three converters, and a controller. By distributing as many sensors as possible in the key areas in buildings, FBG sensors can be used for assessing structure soundness while acting as dendrites in a neural network system. Comparison of structural responses under an uncontrolled system, traditional optimal linear quadratic gain, and the proposed NEURO-FBG control system verifies the advantages of using this novel technique approach. The system robustness is evaluated under both time delay and disconnection problems. Analytical results demonstrate that the NEURO-FBG system can effectively control the response of the structure and provide a more reliable system than ordinary active control.

Original languageEnglish
Pages (from-to)1293-1303
Number of pages11
JournalJournal of Structural Engineering
Issue number8
StatePublished - 26 Jul 2006


  • Earthquake engineering
  • Fiber optics
  • Neural networks
  • Sensors
  • Structural control

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