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西北工业大学 国内
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The joint optimal filtering and fault detection for multi-rate sensor fusion under unknown inputs
Hang Geng,
Yan Liang
, Feng Yang, Linfeng Xu,
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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探究 'The joint optimal filtering and fault detection for multi-rate sensor fusion under unknown inputs' 的科研主题。它们共同构成独一无二的指纹。
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Engineering
Joints (Structural Components)
100%
Sensor Fusion
100%
Numerical Example
33%
Actuator
33%
Estimation Error
33%
Hypothesis Test
33%
Sampling Rate
33%
Noise Attenuation
33%
Residual Signal
33%
Computer Science
Fault Detection
100%
Estimation Error
33%
Complex Environment
33%
Numerical Example
33%
Hypothesis Test
33%
multi sensor
33%
Sampling Rate
33%
Sensors and Actuator
33%
Residual Signal
33%
Noise Attenuation
33%
Mathematics
Fault Detection
100%
Stochastics
66%
Numerical Example
33%
Hypothesis Test
33%
Residuals
33%
Covariance
33%
Sampling Rate
33%
Distributive
33%