Semi-active neurocontrol of a base-isolated benchmark structure

Heon Jae Lee, Guangqiang Yang, Hyung Jo Jung, Billie F. Spencer, In Won Lee

Research output: Contribution to journalArticlepeer-review


In this paper, a new semi-active control strategy for seismic response reduction using a neurocontroller and MR dampers is proposed. The proposed control system adopts a training algorithm based on a cost function and sensitivity evaluation algorithm to calculate the desired control force. A clipped algorithm is then employed to induce the MR damper to generate approximately the desired control force by selecting appropriate command voltage. The proposed semi-active neurocontroller was applied to a benchmark building installed with linear elastomeric isolation system. Comparing with passive and sample controller, numerical simulation results have shown that the proposed scheme can significantly reduce the floor acceleration, base shear and building corner drift with a slight increase of base displacement.

Original languageEnglish (US)
Pages (from-to)682-692
Number of pages11
JournalStructural Control and Health Monitoring
Issue number2-3
StatePublished - Mar 2006


  • Base-isolation
  • Benchmark problem
  • MR dampers
  • Neuro-control
  • Semi-active control
  • Semi-active damping devices

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • Mechanics of Materials


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