Probabilistic approach for active control of structures: Experimental verification

Jae Seung Hwang, Kyung Won Min, Sang Hyun Lee, Hongjin Kim

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


In our previous study (Earthquake Engineering and Structural Dynamics 2003; 32:2301), we have developed a probabilistic algorithm for active control of structures. In the probabilistic control algorithm, the control force is determined by the probability that the structural energy exceeds a specified target critical energy, and the direction of a control force is determined by the Lyapunov controller design method. In this paper, an experimental verification of the proposed probabilistic control algorithm is presented. A three-story test structure equipped with an active mass driver (AMD) has been used. The effectiveness of the control algorithm has been examined by exciting the test structure using a sinusoidal signal, a scaled El Centro earthquake and a broadband Gaussian white noise; and, especially, experiments on control have been performed under different conditions to that of system identification in order to prove the stability and robustness of the proposed control algorithm. The experimental results indicate that the probabilistic control algorithm can achieve a significant response reduction under various types of ground excitations even when the modeling error exists.

Original languageEnglish
Pages (from-to)207-225
Number of pages19
JournalEarthquake Engineering and Structural Dynamics
Issue number3
StatePublished - Mar 2005


  • Active mass driver
  • Modeling error
  • Probabilistic control algorithm
  • System identification


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