Improvement of parameter estimation using prediction error dynamics for unstable system

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外文摘要：In this paper a parameter estimation of an unstable system is presented。 In general ARX or ARMAX model structure to be identified results stable predictor。 Even though the model structure has generically stable predictor， we have no such method that can validate the model structure and results of parameter estimation。 In the estimation of parameter for stable system， one validates the estimation results by output prediction。 But in the unstable system， although we have parameters to be estimated very accurately， model validation by output prediction is very poor。 This paper proposes the method using the dynamics of prediction error for this problem to identify unstable system parameter。 We apply this method to a real system to be unstable to estimate the parameters of unstable system。

外文关键词：

parameter estimationautoregressive moving average processesparameter estimation improvementprediction error dynamicsunstable systemARX model structureARMAX model structurereal system

作者：

Duckgee Park、Moon-Soo Park、Suk-Kyo Hong

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会议母体文献：

Control Applications, 2003. CCA 2003. Proceedings of 2003 IEEE Conference on

页码：

p.1064-1069

出版时间：

2003

DOI：

10.1109/CCA.2003.1223158