Fuzzy　theory　is　highly　promising　for　active　structural　control.　The　advantage　of　fuzzy　controllers　over　classical　controllers　is　the　limited　number　of　measured　structural　responses　used　to　implement　the　control　rules　and　its　intrinsic　robustness.　In　this　paper,　Fuzzy　rules　were　generated　firstly　by　learning　from　sample　data　obtained　from　the　performance　of　the　system　under　optimal　control　algorithm.　Secondly,　the　numerical　simulation　was　carried　out　to　verify　the　effectiveness　of　the　designed　fuzzy　controllers.　Lastly,　Shaking　table　tests　of　a　1:8　scaled　twelve-story　steel　frame　structure　using　an　active　mass　damper　driven　by　fuzzy　controller　were　conducted.　The　simulation　and　test　results　showed　that　the　fuzzy　controllers　were　very　effective　in　reducing　the　response　of　model　structure　under　seismic　excitation　and　reductions　of　40%∼60%　in　displacements　could　be　achieved,　Moreover,　modified　fuzzy　control　system　considering　the　influence　of　multiple　inputs　had　a　better　structural　vibration　control　effect.　©　International　Conference　on　Advances　in　Experimental　Structural　Engineering.　All　rights　reserved.