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- W2373516239 abstract "In this paper,a self-developed MR damper is tested at measure central in wuhan university of technology,force-displacement and force-velocity relationship at different current is researched.and then,establish the revised Bingham model for MR dampers.On base of this,inverse neural network trained with data set calculated from revised Bingham model is used to simulate inverse dynamics of MR dampers.After the inverse neural network model is well trained,it can be linked with active control algorithms for control practice to form the intelligent control method.In a numerical example,the linear quadratic regulator(LQR) method is adopted to control vibration of a multi-story structure,in which the inverse neural model gives continuously changing electrical current signal as expected.The control effect is rather satisfactory than semi-active control." @default.
- W2373516239 created "2016-06-24" @default.
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- W2373516239 date "2006-01-01" @default.
- W2373516239 modified "2023-09-25" @default.
- W2373516239 title "Test of MR damper and intelligent control by using inverse neural network" @default.
- W2373516239 hasPublicationYear "2006" @default.
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