Data assimilation using noisy time-averaged measurements
Sign Up to like & getrecommendations! Published in 2017 at "Physica D: Nonlinear Phenomena"
DOI: 10.1016/j.physd.2017.12.004
Abstract: Abstract We study the synchronization of chaotic systems when the coupling between them contains both time averages and stochastic noise. Our model dynamics – inspired by the partial differential equations which govern the atmosphere –… read more here.
Keywords: assimilation using; data assimilation; time; using noisy ... See more keywords
Using noisy or incomplete data to discover models of spatiotemporal dynamics.
Sign Up to like & getrecommendations! Published in 2020 at "Physical review. E"
DOI: 10.1103/physreve.101.010203
Abstract: Sparse regression has recently emerged as an attractive approach for discovering models of spatiotemporally complex dynamics directly from data. In many instances, such models are in the form of nonlinear partial differential equations (PDEs); hence… read more here.
Keywords: discover models; noisy incomplete; models spatiotemporal; using noisy ... See more keywords