An inverse model of MR damper using optimal neural network and system identification

147 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

The promise of implementing machine learning in earthquake engineering: A state-of-the-art review (2020, methodology): “…the MR damper (Chang and Roschke, 1998); (2) an inverse optimal ANN model to predict the required voltage given the desired force of the MR damper (Xia, 2003); (3) the use of ANN to replicate the dam-per’s dynamics and induce the MR damper in controlling the seismic shaking of non-isolated and…”
Systems with Hysteresis: Analysis, Identification and Control Using the Bouc-Wen Model (2007, methodology): “In Reference [51], an H controller is proposed to cope with the presence of uncertainties.”