Adaptive Identification of a Time-varying Volterra system using the FWLS (filtered weighted least squares) Algorithm

FWLS 적응 알고리듬을 이용한 시변 볼테라 시스템 식별

In this paper, the problem of identifying a time-varying nonlinear system in an adaptive way was considered, whereby the time-varying second-order Volterra series was employed to model the system and the filtered weighted least squares (FWLS) algorithm was utilized for the fast parameter tracking capability with low computational burden. Finally, the performance of the proposed approach was demonstrated by providing some computer simulation results.