Further Results on Model Structure Validation for Closed Loop System Identification
Advances in Wireless Communications and Networks
Volume 3, Issue 5, September 2017, Pages: 57-66
Received: May 18, 2017; Accepted: Jun. 28, 2017; Published: Aug. 24, 2017
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Authors
Wang Jian-hong, School of Mechanical and Electronic Engineering, Jingdezhen Ceramic Institute, Jingdezhen, China
Wang Yan-xiang, School of Mechanical and Electronic Engineering, Jingdezhen Ceramic Institute, Jingdezhen, China
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Abstract
In this paper, further results on the problem of the model structure validation for closed loop system identification are proposed. One probabilistic model uncertainty is derived from some statistical properties of the parameter estimation. The uncertainties bound of the model parameter is constructed in the probability sense by using the inner product form of the asymptotic covariance matrix. Further a new technique for estimating bias and variance contributions to the model error is suggested. One bound described as an inequality corresponds to a condition on the model error. Due to this proposed bound, model structure validation process can be transformed to verify whether the model error obeys this inequality. Finally the simulation example results confirm the identification theoretical results.
Keywords
Closed Loop Identification, Model Uncertainty, Model Structure Validity, One Bound
To cite this article
Wang Jian-hong, Wang Yan-xiang, Further Results on Model Structure Validation for Closed Loop System Identification, Advances in Wireless Communications and Networks. Vol. 3, No. 5, 2017, pp. 57-66. doi: 10.11648/j.awcn.20170305.12
Copyright
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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