Optimization Based Methods for Partially Observed Chaotic Systems
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DOI: 10.1007/s10208-018-9388-x
Abstract: In this paper we consider filtering and smoothing of partially observed chaotic dynamical systems that are discretely observed, with an additive Gaussian noise in the observation. These models are found in a wide variety of… read more here.
Keywords: optimization based; based methods; methods partially; partially observed ... See more keywords
Learning Latent Dynamics for Partially-Observed Chaotic Systems
Sign Up to like & getrecommendations! Published in 2020 at "Chaos"
DOI: 10.1063/5.0019309
Abstract: This paper addresses the data-driven identification of latent representations of partially observed dynamical systems, i.e., dynamical systems for which some components are never observed, with an emphasis on forecasting applications and long-term asymptotic patterns. Whereas… read more here.
Keywords: dynamics partially; data driven; partially observed; learning latent ... See more keywords