Sensor Attack Detection and Mitigation Using Hybrid Physics Informed Neural Networks - A Real-Time Implementation for DC-DC Converter-Reference-Cited by-同舟云学术

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Sensor Attack Detection and Mitigation Using Hybrid Physics Informed Neural Networks - A Real-Time Implementation for DC-DC Converter

Published:2024-07 Issue:4 Volume:60 Page:5702-5713
ISSN:0093-9994
Container-title:IEEE Transactions on Industry Applications
language:
Short-container-title:IEEE Trans. on Ind. Applicat.

Author:

Machina Venkata Siva Prasad¹^ORCID,Koduru Sriranga Suprabhath²^ORCID,Madichetty Sreedhar¹^ORCID,Mishra Sukumar²^ORCID,Kamel Abdel EI³^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Mahindra University, Telangana, India

2. Department of Electrical Engineering, Indian Institute of Technology Delhi, New Delhi, India

3. Department of Electrical Engineering, Centrale Lille, Cité Scientifique, Villeneuve d'Ascq cedex, France

Funder

SERB-INAE

Abdul Kalam Technology Innovation National Fellowships

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/28/10604662/10487869.pdf?arnumber=10487869

Reference27 articles.

1. Review on cyber-physical systems

2. A Review of Current Research Trends in Power-Electronic Innovations in Cyber–Physical Systems

3. Cyber Attacks in Cyber-Physical Microgrid Systems: A Comprehensive Review

4. A Controllable False Data Injection Attack for a Cyber Physical System

5. Cyber-Physical System-Based Path Tracking Control of Autonomous Vehicles Under Cyber-Attacks

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