Zhong-Gai Zhao

Orcid: 0000-0002-4508-4979

According to our database1, Zhong-Gai Zhao authored at least 15 papers between 2004 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
Sensitivity analysis of the penicillin fermentation process model based on LHS-EPRCC.
Comput. Chem. Eng., November, 2023

2022
Latent variable point-to-point iterative learning model predictive control via reference trajectory updating.
Eur. J. Control, 2022

2021
Developing new products with kernel partial least squares model inversion.
Comput. Chem. Eng., 2021

2018
DMFA-based operation model for fermentation processes.
Comput. Chem. Eng., 2018

Process Modeling and Monitoring With Incomplete Data Based on Robust Probabilistic Partial Least Square Method.
IEEE Access, 2018

2014
Concurrent PLS-based process monitoring with incomplete input and quality measurements.
Comput. Chem. Eng., 2014

2013
Parameter estimation in batch process using EM algorithm with particle filter.
Comput. Chem. Eng., 2013

Bayesian method for state estimation of batch process with missing data.
Comput. Chem. Eng., 2013

Ellipsoidal set based robust particle filtering for recursive Bayesian state estimation.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013

2012
A particle filter based on a constrained sampling method for state estimation.
Proceedings of the 15th International Conference on Information Fusion, 2012

2008
Data Reconstruction Based on Factor Analysis.
Proceedings of the Advances in Neural Networks, 2008

2006
On-Line Nonlinear Process Monitoring Using Kernel Principal Component Analysis and Neural Network.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

A New Method for Process Monitoring Based on Mixture Probabilistic Principal Component Analysis Models.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

On-Line Batch Process Monitoring Using Multiway Kernel Independent Component Analysis.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

2004
Chemical Separation Process Monitoring Based on Nonlinear Principal Component Analysis.
Proceedings of the Advances in Neural Networks, 2004


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