A recursive identification algorithm for linear discrete periodic systems

The parameter identification problem of linear discrete period time-varying (LDPV) systems is studied in this paper and a two-step identification algorithm based on the recursive least squares principle is proposed. The recursive principle-based identification algorithm is mostly used to deal with the parameter identification of time-invariant systems. Combine with the cyclic reconstruction method, the LDPV system is converted to a linear time-invariant system. Then, based on this and combined with recursive least squares identification, a discrimination algorithm is proposed for the parameter estimation of the LDPV system. Finally, a numerical simulation example is given to demonstrate the effectiveness of the proposed algorithm.

Automated summary

This paper studies the parameter identification problem of linear discrete period time-varying (LDPV) systems and proposes a two-step identification algorithm based on the recursive least squares principle. By converting the LDPV system into a linear time-invariant system and combining with recursive least squares identification, a discrimination algorithm is suggested for parameter estimation.