Two-dimensional identification of time-varying batch nonlinear processes with input dead-zone nonlinearity-Reference-Cited by-同舟云学术

Two-dimensional identification of time-varying batch nonlinear processes with input dead-zone nonlinearity

Published:2024-05-15 Issue: Volume: Page:1-16
ISSN:2330-7706
Container-title:Journal of Control and Decision
language:en
Short-container-title:Journal of Control and Decision

Author:

Dong Shijian¹²³^ORCID,Zhang Yuzhu²³,Zhou Xingxing²³,Hao Leilei²³

Affiliation:

1. School of Metallurgy, Northeastern University, Shenyang, People’s Republic of China

2. Engineering Research Center of Intelligent Control for Underground Space, Ministry of Education, China University of Mining and Technology, Xuzhou, People’s Republic of China

3. School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, People’s Republic of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/23307706.2024.2349636

Reference33 articles.

1. Integrating data-based modeling and nonlinear control tools for batch process control

2. Online average-based system modelling method for batch process

3. Two-time dimensional recursive system identification incorporating priori pole and zero knowledge

4. Nonparametric identification of batch process using two-dimensional kernel-based Gaussian process regression

5. Voltages prediction algorithm based on LSTM recurrent neural network

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