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necessary to update control rules in real time. It is, however, difficult to apply the conventional
vibration control svstem for the structures with the variation of structural characteristics. In this study,
Fig 8. Relative Displacement without Control
Fig 11. Relative Velocity without Control
1600 I BOO 2000
Fig 9. Relative Displacement with Fuzzy Control Fig 12. Relative Velocity with Fuzzy Control
Fig 10. Relative Displacement with Proposed System Fig 13. Relative Velocity with Proposed System
TABLE 4. MEAN VALUES OF RELATIVE VELOCITY AND DISPLACEMENT
No control
Fuzzy
Proposed
Mean Velocity
0.2234 (m/s)
0.13021 (m/s)
0.08183 (m/s)
Mean Displacement
0.0205 Cm)
0.0143 Cm)
0.0109 (m)
an attempt was made to develop a vibration control system of structures with the ability of selfadjustment.
By applying recurrent neural network, it is possible to update control rules automatically,
because the recurrent neural network has the ability of learning time series data and correcting
weighting coefficients of neural network in real time. From the numerical simulation, it was