Modified recursive extended least squares identification algorithms

摘要

For ARMAX models, modified recursive extended least squares identification algorithms are presented. The basic idea lies in two aspects. One is to decompose the original system into two subsystems. The other is that the most recent information is used to update the parameters, which is different from the hierarchical principle. A simulation example is employed to test the effectiveness of the proposed algorithms.