Learning-Based Resilient FCS-MPC for Power Converters Under Actuator FDI Attacks-Reference-Cited by-同舟云学术

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Learning-Based Resilient FCS-MPC for Power Converters Under Actuator FDI Attacks

Published:2024-10 Issue:10 Volume:39 Page:12716-12728
ISSN:0885-8993
Container-title:IEEE Transactions on Power Electronics
language:
Short-container-title:IEEE Trans. Power Electron.

Author:

Liu Xing¹^ORCID,Qiu Lin²^ORCID,Rodríguez José³^ORCID,Wang Kui⁴^ORCID,Li Yongdong²,Fang Youtong⁴^ORCID

Affiliation:

1. College of Electrical Engineering, Shanghai Dianji University, Shanghai, China

2. College of Electrical Engineering, Zhejiang University, Hangzhou, China

3. Faculty of Engineering, Universidad San Sebastian Santiago, Santiago, Chile

4. State Key Laboratory of Power System, Department of Electrical Engineering, Tsinghua University, Beijing, China

Funder

State Key Laboratory of High-speed Maglev Transportation Technology

National Natural Science Foundation of China

National Key Research and Development Program of China

Natural Science Foundation of Zhejiang Province

Agencia Nacional de Investigación y Desarrollo

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/63/10659244/10561621.pdf?arnumber=10561621

Reference55 articles.

1. An Event-Driven Resilient Control Strategy for DC Microgrids

2. A Fully Resilient Cyber-Secure Synchronization Strategy for AC Microgrids

3. Resilient model predictive control for constrained cyber-physical systems subject to severe attacks on the communication channels

4. Cyber-Resilient Sliding-Mode Consensus Secondary Control Scheme for Islanded AC Microgrids

5. Neural-Network-Based Adaptive Resilient Dynamic Surface Control Against Unknown Deception Attacks of Uncertain Nonlinear Time-Delay Cyberphysical Systems

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