Abstract: Deep state space model (DSSM) are a temporal model that is actively researched. It combines deep neural networks with classic state space model (SSM) so that it can be used for prediction ...
Abstract: This article proposes a deep Koopman-based identification method for nonlinear dynamical systems with modeling residuals learned recursively by incremental Gaussian process regression (IGPR) ...
Norwegian company Henriksen has announced that it will supply its Henriksen Multi Lightweight Influence Sweep (HEMLIS) system ...
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