Networked dynamic state estimation with time-stamped multi-sensor observations
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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Online Access: | http://hdl.handle.net/2047/D20195591 |