Filtering of the ARMAX Process with Generalized t-Distribution Noise: The Influence Function Approach-Reference-Cited by-同舟云学术

Filtering of the ARMAX Process with Generalized t-Distribution Noise: The Influence Function Approach

Published:2014-04-15 Issue:17 Volume:53 Page:7019-7028
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Ho Weng Khuen¹,Ling Keck Voon²,Vu Hoang Dung¹,Wang Xiaoqiong¹

Affiliation:

1. National University of Singapore, Singapore 117576

2. Nanyang Technological University, Singapore 639798

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ie401990x

Reference22 articles.

1. A Framework for Robust Data Reconciliation Based on a Generalized Objective Function

2. Hampel, F. R.; Ronchetti, E. M.; Rousseeuw, P. J.; Stahel, W. A.Robust Statistics: The Approach Based on Influence Functions;Wiley:New York, 1986; p536.

3. Least-squares estimation: from Gauss to Kalman

4. Generalized T distribution and its applications to process data reconciliation and process monitoring

5. Multi-Zone Thermal Processing in Semiconductor Manufacturing: Bias Estimation

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