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西北工业大学 国内
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Robust Fault Detection for Unmanned Aerial Vehicles Subject to Denial-of-Service Attacks
Kunpeng Pan, Feisheng Yang,
Yang Lyu
,
Quan Pan
自动化学院
Northwestern Polytechnical University Xian
Ministry of Education of the People's Republic of China
科研成果
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指纹
指纹
探究 'Robust Fault Detection for Unmanned Aerial Vehicles Subject to Denial-of-Service Attacks' 的科研主题。它们共同构成独一无二的指纹。
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Computer Science
Unmanned Aerial Vehicle
100%
Denial-of-Service
100%
Fault Detection
100%
Ground Control Station
33%
Communication Network
16%
Triggered Event
16%
Triggering Event
16%
Attackers
16%
Bandwidth Utilization
16%
Residual Signal
16%
Fault Detection Scheme
16%
Detection Mechanism
16%
Network Bandwidth
16%
Engineering
Unmanned Aerial Vehicle
100%
Denial-of-Service Attack
100%
Simulation Result
25%
H-Performance
25%
Detection Scheme
25%
Communication Network
25%
Exponential Stability
25%
Bandwidth Utilization
25%
Residual Signal
25%
Filter Gain Matrix
25%