Abstract:

A systolic algorithm for the Recursive Least Squares identification with covariance update, using the block-accumulated regularization mechanism to increase numerical stability of the algorithm with respect to weakly informative data, is presented. The advantages over standard sequential implementation are that the sampling period of estimator is significantly reduced even with the robustifying modification of algorithm and that it is made independent of order of the identified system.