Modeling MR-dampers: the ridgenet estimation approach

This paper develops a new technique, the ridgenet estimation, for the blackbox modeling of magnetorheological fluid (MR) dampers. It continues the original effort on wavelets-based identification and makes a step forward by employing the ridgelet network to construct the nonlinear mapping. We present an overview on the previous MR-damper modeling, the recent result on ridgelet analysis, and the outline of the proposed approach. We give a detailed description of the ridgenet algorithm in the form a three-step computational procedure: the ridgelet dictionary construction, the ridgelet basis selection, and the ridgelet network optimization. The numerical implementation of the ridgenet algorithm is addressed and the application result is reported.