FIR model identification of multirate processes with random delays using EM algorithm
Author:
Affiliation:
1. Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education); Jiangnan University; Wuxi; China
2. Dept. of Chemical and Materials Engineering; University of Alberta; Edmonton; Alberta; Canada
Publisher
Wiley
Subject
General Chemical Engineering,Environmental Engineering,Biotechnology
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/aic.14147/fullpdf
Reference24 articles.
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3. Narasimhan S. Incorporating delayed and infrequent measurements in Extended Kalman Filter based nonlinear state estimation;Gopalakrishnan;J Process Control.,2011
4. Multiple model LPV approach to nonlinear process identification with EM algorithm;Jin;J Process Control,2011
5. Data-driven soft sensor in the process industry;Kadlec;Comput Chem Eng.,2009
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