Robust estimator design for networked uncertain systems with imperfect measurements and uncertain-covariance noises
Sign Up to like & getrecommendations! 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… read more here.
Keywords: covariance noises; uncertain systems; uncertain covariance; networked uncertain ... See more keywords