论文信息 - The composite regressor algorithm

The composite regressor algorithm

A relation between equation error and output-error adaptive algorithms is presented. It leads to a clarified view of output-error bias and stability. It is shown that a tradeoff between desirable stability and bias characteristics can be achieved in output error by manipulation of the adaptive gain. The composite regressor algorithm (CRA) is introduced as a means of affecting this tradeoff, independent of the gain. Output error is shown to a special case of CRA. A stability constraint for CRA is developed in a theorem, and the bias properties of this algorithm are discussed.<<ETX>>

C. E. Rohrs | J. B. Kenney

[1] Graham C. Goodwin,et al. Adaptive filtering prediction and control , 1984 .

[2] Kun Tang,et al. The use of large adaptation gains to remove the SPR condition from recursive adaptive algorithms , 1987, ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing.

[3] I. Landau. Unbiased recursive identification using model reference adaptive techniques , 1976 .