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ndltd-NEU--neu-rx917c82n
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oai_dc
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ndltd-NEU--neu-rx917c82n2021-05-28T05:22:20ZNetworked dynamic state estimation with time-stamped multi-sensor observationsIn this dissertation the performance of a continuous-discrete Kalman filter using multi-sensor observations is analyzed in the presence of irregular sampling, observation/control delay, bad data and system parameter inaccuracy.http://hdl.handle.net/2047/D20195591
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NDLTD
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NDLTD
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| description |
In this dissertation the performance of a continuous-discrete Kalman filter using multi-sensor observations is analyzed in the presence of irregular sampling, observation/control delay, bad data and system parameter inaccuracy.
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| title |
Networked dynamic state estimation with time-stamped multi-sensor observations
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| spellingShingle |
Networked dynamic state estimation with time-stamped multi-sensor observations
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| title_short |
Networked dynamic state estimation with time-stamped multi-sensor observations
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| title_full |
Networked dynamic state estimation with time-stamped multi-sensor observations
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| title_fullStr |
Networked dynamic state estimation with time-stamped multi-sensor observations
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| title_full_unstemmed |
Networked dynamic state estimation with time-stamped multi-sensor observations
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| title_sort |
networked dynamic state estimation with time-stamped multi-sensor observations
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| publishDate |
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| url |
http://hdl.handle.net/2047/D20195591
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| _version_ |
1719407974486638592
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