Data-based stochastic model reduction for the Kuramoto–Sivashinsky equation
نویسندگان
چکیده
منابع مشابه
Data-based stochastic model reduction for the Kuramoto–Sivashinsky equation
The problem of constructing data-based, predictive, reduced models for the KuramotoSivashinsky equation is considered, under circumstances where one has observation data only for a small subset of the dynamical variables. Accurate prediction is achieved by developing a discrete-time stochastic reduced system, based on a NARMAX (Nonlinear Autoregressive Moving Average with eXogenous input) repre...
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ژورنال
عنوان ژورنال: Physica D: Nonlinear Phenomena
سال: 2017
ISSN: 0167-2789
DOI: 10.1016/j.physd.2016.09.007