Journal
IET CONTROL THEORY AND APPLICATIONS
Volume 17, Issue 3, Pages 331-340Publisher
WILEY
DOI: 10.1049/cth2.12341
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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.
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.
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