摘要: A new recursive least squares estimation algorithm is proposed. The recursion is due to the fact that new estimates are computed from the estimates and internal signals computed in the previous sampling period plus incoming signal... 展开 A new recursive least squares estimation algorithm is proposed. The recursion is due to the fact that new estimates are computed from the estimates and internal signals computed in the previous sampling period plus incoming signals. Robustness is obtained by conditioning the estimates update to occur only in the presence of a minimal signal excitation level. The effects of noise and unmodelled dynamics are addressed by a variable forgetting factor. 收起