Online nonlinear data reconciliation to enhance nonlinear dynamic process monitoring using conditional dynamic variational autoencoder networks with particle filters

Author:

Chiu Kuanhsuan,Chen JunghuiORCID,Zhang Zhengjiang

Funder

National Science and Technology Council

Publisher

Elsevier BV

Reference19 articles.

1. New results in linear filtering and prediction theory;Kalman;Journal of Basic Engineering,1961

2. Stochastic Processes and Filtering Theory;Jazwinski,2007

3. How to not make the extended Kalman filter fail;Schneider;Ind. Eng. Chem. Res.,2013

4. Intelligent particle filter and its application on fault detection of nonlinear system;Yin;Transactions on Industrial Electronics,2015

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