Parameter Identification of Time Varying System Using Basic Function Expansion

En Wei Chen; Yi Min Lu; Zheng Shi Liu; Yong Wang

doi:10.4028/www.scientific.net/AMR.403-408.2800

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 403-408Parameter Identification of Time Varying System...

Parameter Identification of Time Varying System Using Basic Function Expansion

Abstract:

Time-varying parameters identification in linear system is considered, which can be changed into time-invariant coefficient polynomials after Taylor expansion. Using response data to establish the time-varying autoregressive moving average (TV-ARMA) model, then utilizing least-square algorithm to obtain time-invariant coefficients of time-varying parameters. According to error analysis, to reduce errors and improve accuracy, the estimation time is divided into small internals and the above method is used in each interval. Simulation shows that, under certain error condition, the time-varying parameters obtained by the method have good agreement with the theoretical values; the measures taken have strong anti-interference and high efficiency.

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Periodical:

Advanced Materials Research (Volumes 403-408)

Pages:

2800-2804

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.403-408.2800

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Online since:

November 2011

Authors:

En Wei Chen, Yi Min Lu, Zheng Shi Liu, Yong Wang

Keywords:

Error, Identification, Taylor Expansion, Time-Varying Parameter

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