Scholars@Duke publication: Guest Editorial Machine Learning for Resilient Industrial Cyber-Physical Systems

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

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

Issue

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

Issue

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