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Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.11.035
Abstract: The robust Kalman filter design problem is investigated for networked uncertain systems subject to uncertain-covariance noises and incomplete measurements. The norm-bounded parameter uncertainties exist simultaneously in the state, output and white noise covariance matrices. A…
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Keywords:
covariance noises;
uncertain systems;
uncertain covariance;
networked uncertain ... See more keywords