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Summary: A System Identification Method for Nonuniform Sampling Data
Based on Missing Data Estimation
Shuichi Adachi, Member, Masayuki Tanji, Non-member (Utsunomiya University)
In this letter, a system identification method for nonuniform sampling data is proposed. First, nonuniform
sampling data is transformed to uniform sampling data whose sampling period is smaller than the original
data. Second, a system identification method with missing data estimation is applied to the transformed
data, since the transformed data contains a lot of missing data, Finally, the effectiveness of the proposed
method is examined though a numerical example.
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(1)
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LTI (Linear Time Invariant)
y(t) = G(q)u(t) + H(q)w(t) · · · · · · · · · · · · · · · · (1)
missing data
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