Reliable identification based intelligent PID tuning for long-period process control under different working conditions-Reference-Cited by-同舟云学术

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Reliable identification based intelligent PID tuning for long-period process control under different working conditions

Published:2024-09 Issue: Volume:162 Page:105630
ISSN:1876-1070
Container-title:Journal of the Taiwan Institute of Chemical Engineers
language:en
Short-container-title:Journal of the Taiwan Institute of Chemical Engineers

Author:

Zhou Jianqiao,Wang Zhu^ORCID,Luo Xionglin

Funder

National Natural Science Foundation of China

Science Foundation of China University of Petroleum Beijing

Publisher

Elsevier BV

Reference49 articles.

1. Intelligent identification method of chemical processes based on maximum mean discrepancy domain generalization;Wang;J Taiwan Inst Chem Eng,2023

2. The abnormal situation with reversal characteristic in chemical processes: local monitoring and self-recovery;Chen;J Taiwan Inst Chem Eng,2021

3. An intelligent identification method based on self-adaptive mechanism regulated neural network for chemical process;Xu;J Taiwan Inst Chem Eng,2024

4. MPC performances for nonlinear systems using several linearization models;Igarashi,2020

5. Solvent-based post-combustion CO2 capture for power plants: a critical review and perspective on dynamic modelling, system identification, process control and flexible operation;Wu;Appl Energy,2020

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