Application of on-line RLS on parameter identification of benchmark building structure on shaking table test

An on-line recursive least-squares (RLS) identification technique is applied in this study. Based on the framework of adaptive control, the observations are obtained sequentially in real time. It is desirable to make the computations recursively to save computation time. Computation of the least-squares estimation can be arranged recursively so that the estimated parameters at previous step can be used to predict the responses at current time. The one-step ahead predicted error between estimated response and measured response is calculated by the RLS method and the dynamic properties of system can be identified as well. The purpose of this study is to apply the RLS method in discrete-time and to perform the identification procedures on a single-degree-of-freedom system and a three-floor benchmark building.