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Guest Editorial Machine Learning for Resilient Industrial Cyber-Physical Systems

Publication ,  Journal Article
Hu, S; Chen, Y; Zhu, Q; Colombo, AW
Published in: IEEE Transactions on Automation Science and Engineering
January 1, 2023
Published version (DOI)

Duke Scholars

Yiran Chen
Author Yiran Chen Electrical and Computer Engineering

Published In

IEEE Transactions on Automation Science and Engineering

DOI

10.1109/TASE.2022.3223583

EISSN

1558-3783

ISSN

1545-5955

Publication Date

January 1, 2023

Volume

20

Issue

1

Start / End Page

3 / 4

Related Subject Headings

  • Industrial Engineering & Automation
  • 4017 Mechanical engineering
  • 4008 Electrical engineering
  • 4007 Control engineering, mechatronics and robotics
  • 0913 Mechanical Engineering
  • 0910 Manufacturing Engineering
  • 0906 Electrical and Electronic Engineering
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Hu, S., Chen, Y., Zhu, Q., & Colombo, A. W. (2023). Guest Editorial Machine Learning for Resilient Industrial Cyber-Physical Systems. IEEE Transactions on Automation Science and Engineering, 20(1), 3–4. https://doi.org/10.1109/TASE.2022.3223583
Hu, S., Y. Chen, Q. Zhu, and A. W. Colombo. “Guest Editorial Machine Learning for Resilient Industrial Cyber-Physical Systems.” IEEE Transactions on Automation Science and Engineering 20, no. 1 (January 1, 2023): 3–4. https://doi.org/10.1109/TASE.2022.3223583.
Hu S, Chen Y, Zhu Q, Colombo AW. Guest Editorial Machine Learning for Resilient Industrial Cyber-Physical Systems. IEEE Transactions on Automation Science and Engineering. 2023 Jan 1;20(1):3–4.
Hu, S., et al. “Guest Editorial Machine Learning for Resilient Industrial Cyber-Physical Systems.” IEEE Transactions on Automation Science and Engineering, vol. 20, no. 1, Jan. 2023, pp. 3–4. Scopus, doi:10.1109/TASE.2022.3223583.
Hu S, Chen Y, Zhu Q, Colombo AW. Guest Editorial Machine Learning for Resilient Industrial Cyber-Physical Systems. IEEE Transactions on Automation Science and Engineering. 2023 Jan 1;20(1):3–4.

Published In

IEEE Transactions on Automation Science and Engineering

DOI

10.1109/TASE.2022.3223583

EISSN

1558-3783

ISSN

1545-5955

Publication Date

January 1, 2023

Volume

20

Issue

1

Start / End Page

3 / 4

Related Subject Headings

  • Industrial Engineering & Automation
  • 4017 Mechanical engineering
  • 4008 Electrical engineering
  • 4007 Control engineering, mechatronics and robotics
  • 0913 Mechanical Engineering
  • 0910 Manufacturing Engineering
  • 0906 Electrical and Electronic Engineering