ONLINE IDENTIFICATION OF HYSTERETIC SYSTEMS

Using adaptive estimation approaches, a method is presented for the on -line identification of hysteretic systems under arbitrary dynamic env ironments. The availability of such an identification approach is cruc ial for the on-line control and monitoring of nonlinear structural sys tems to be actively controlled. In spite of the challenges encountered in the identification of the hereditary nature of th restoring force of such nonlinear systems, it is shown through the use of simulation s tudies and experimental measurements that the proposed approach can yi eld reliable estimates of the hysteretic restoring force under a very wide range of excitation levels and response ranges.