An Adaptive LQR-Based Defense Strategy against False Data Injection Attack in Smart Grids-Reference-Cited by-同舟云学术

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An Adaptive LQR-Based Defense Strategy against False Data Injection Attack in Smart Grids

Published:2022-11-11 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)
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Author:

Luo Xiaoyuan¹,Gao Ruiyang¹,Wang Xinyu²,Wang Xiangjie¹

Affiliation:

1. Yanshan Universitty,Key Lab of Power Electronics for Energy Conservation Motor Drive of Hebei Province,Qinhuangdao,China

2. Jiangsu Collaborative Innovation Center for Smart Distribution Network,Key Lab of Power Electronics for Energy Conservationf,Nanjing,China

Funder

Nature

Nanjing Institute of Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10115460/10115466/10117083.pdf?arnumber=10117083

Reference30 articles.

1. Resilient Control Design for Load Frequency Control System Under False Data Injection Attacks

2. Interval state estimation based defense mechanism against cyber attack on power systems

3. A resilient defense strategy against false data injection attack in smart grid

4. False Data Injection Attack and Defense Method on Load Frequency Control

5. Detection and localization of biased load attacks in smart grids via interval observer

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Performance Analysis for Multiplicative False Data Injection Attack Detection Methods;2024 39th Youth Academic Annual Conference of Chinese Association of Automation (YAC);2024-06-07

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