Abstract
The robust recursive identification method of ARX models is proposed using the beta divergence. The proposed parameter update law suppresses the effect of outliers using a weight function that is automatically determined by minimizing the beta divergence. A numerical example illustrates the efficacy of the proposed method.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have