Simultaneous identification of parameter and time-delay based on subspace method and cross-correlation function

Both the plant parameter4 and delay time of the system may vary in the time-varying system, which makes system identification relatively complex. In this paper, a new system identification algorithm based on subspace method and cross-correlation function is proposed to identify system parameter and...

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Bibliographic Details
Main Authors: Jian-Guo Wang, Zhi-Fu Deng, Bang-Hua Yang, Shi-Wei Ma, Min-Rui Fei, Li-Lan Liu, Yuan Yao, Tao Chen, Yi-Ping Wu
Format: Conference Proceeding
Language:English
Subjects:
Cross-Correlation
Delay effects
Delays
Electronic mail
Identification
Mathematical model
Object recognition
Prediction algorithms
Subspace Method
Time-Varying
Time-varying systems
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Summary:Both the plant parameter4 and delay time of the system may vary in the time-varying system, which makes system identification relatively complex. In this paper, a new system identification algorithm based on subspace method and cross-correlation function is proposed to identify system parameter and time-delay simultaneously. The time delay is identified with the calculation of the cross-correlation function between pre-processed input data that processed through initial plant parameters and original output data. Then, the time delay in the output data can be deleted with the time delay identified before and the parameters can be achieved by subspace identification algorithm. Therefore, the process parameters and time delay identification can be performed online by through above two alternative operations. The validity of the proposed identification algorithm is verified by the simulation study.
ISSN:2161-2927
DOI:10.23919/ChiCC.2017.8027698