139 citations · 649 across the 28 of their papers we have counts for
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eess.SY2014★ 121 cited
Approximate Bayesian Smoothing with Unknown Process and Measurement Noise Covariances
Tohid Ardeshiri, Emre Özkan, Umut Orguner +1
We present an adaptive smoother for linear state-space models with unknown process and measurement noise covariances. The proposed method utilizes the variational Bayes technique t…
math.DS2014★ 3 cited
Discretizing stochastic dynamical systems using Lyapunov equations
Niklas Wahlström, Patrix Axelsson, Fredrik Gustafsson
Stochastic dynamical systems are fundamental in state estimation, system identification and control. System models are often provided in continuous time, while a major part of the…