Novel feedforward‐feedback‐based continuous process transition strategy for chemical industry-Reference-Cited by-同舟云学术

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Novel feedforward‐feedback‐based continuous process transition strategy for chemical industry

Published:2022-12-21 Issue:2 Volume:18 Page:
ISSN:1932-2135
Container-title:Asia-Pacific Journal of Chemical Engineering
language:en
Short-container-title:Asia-Pacific J Chem Eng

Author:

Cao Xin‐Yi¹²,Xu Feng¹,Luo Xiong‐Lin¹^ORCID

Affiliation:

1. Department of Automation China University of Petroleum Beijing Beijing 102249 China

2. CNPC Research Institute of Safety & Environment Technology Beijing 102206 China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Waste Management and Disposal,Renewable Energy, Sustainability and the Environment,General Chemical Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/apj.2869

Reference33 articles.

1. Networked control systems: a survey of trends and techniques;Zhang XM;IEEE‐CAA J Automatica Sin,2020

2. Hierarchical aggregation of multiple fuzzy controllers for global complex control problems

3. Designing a fuzzy Q-learning multi-agent quality control system for a continuous chemical production line – A case study

4. MeissnerH IlsenR AurichJC.Analysis of control architectures in the context of Industry 4.0. In:10th CIRP International Conference on Intelligent Computation in Manufacturing Engineering 2017; 62: 165–169.

5. Economic model predictive control of distillation startup based on probabilistic approach

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