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A System Identification Method for Nonuniform Sampling Data Based on Missing Data Estimation
 

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.
1.
2.
1
T
1 T
T
T
(1)
(2)
LTI (Linear Time Invariant)
y(t) = G(q)u(t) + H(q)w(t) (1)
missing data

  

Source: Adachi, Shuichi - Electrical and Electronic Engineering, Faculity of Engineering, Utsunomiya University

 

Collections: Engineering