Zero-Sum Game Based Secure Tracking Control of UAV Against FDI Attacks Using Fixed-Time Convergent Reinforcement Learning-Reference-Cited by-同舟云学术

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Zero-Sum Game Based Secure Tracking Control of UAV Against FDI Attacks Using Fixed-Time Convergent Reinforcement Learning

Published:2023-12-13 Issue: Volume: Page:1841-1846
ISSN:
Container-title:2023 62nd IEEE Conference on Decision and Control (CDC)
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Author:

Gong Zhenyu¹,Yang Feisheng¹,Wu Dongrui²

Affiliation:

1. Research & Development Institute of Northwestern Polytechnical University in Shenzhen

2. School of Artificial and Automation, Huazhong University of Science and Technology,Key Laboratory of the Ministry of Education for Image Processing and Intelligent Control,Wuhan,China,430074

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10383192/10383193/10384146.pdf?arnumber=10384146

Reference19 articles.

1. Survey on Unmanned Aerial Vehicle Networks: A Cyber Physical System Perspective

2. Event-Triggered Consensus Control for Multi-Agent Systems Against False Data-Injection Attacks

3. Detection and Mitigation of False Data Injection Attacks in Networked Control Systems

4. Observer-Based Security Control for Interconnected Semi-Markovian Jump Systems With Unknown Transition Probabilities

5. Secure LQG control for a Quadrotor under false data injection attacks

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