Deep learning‐based optimal tracking control of flow front position in an injection molding machine-Reference-Cited by-同舟云学术

Deep learning‐based optimal tracking control of flow front position in an injection molding machine

Published:2021-09-14 Issue: Volume: Page:
ISSN:0143-2087
Container-title:Optimal Control Applications and Methods
language:en
Short-container-title:Optim Control Appl Meth

Author:

Xu Jiahong¹,Ren Zhigang¹^ORCID,Xie Shengli¹²,Wang Yalin³,Wang Jingpei⁴

Affiliation:

1. School of Automation and Key Laboratory of Intelligent Detection and The Internet of Things in Manufacturing, Ministry of Education Guangdong University of Technology Guangzhou China

2. 111 Center for Intelligent Batch Manufacturing Based on IoT Technology and Guangdong‐HongKong‐Macao Joint Laboratory for Smart Discrete Manufacturing Guangdong University of Technology Guangzhou China

3. School of Automation Central South University Changsha China

4. College of Control Science and Engineering Zhejiang University Hangzhou China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Applied Mathematics,Control and Optimization,Software,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/oca.2787

Reference28 articles.

1. The Injection Molding Machine

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3. A simulation‐based robust methodology for operator guidance on injection moulding machine settings;Vosniakos GC;Int J Interact Des Manuf,2020

4. Effect of vibration parameters of electromagnetic dynamic plastics injection molding machine on mechanical properties of polypropylene samples;Quan W;J Appl Polym Sci,2010

5. Measurement and verification of injection molding machine energy‐saving reformation effect;Wang H;Adv Mater Res,2013

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