Predictability in Nonlinear Dynamical Systems with Model Uncertainty
Dynamical Systems
2008-11-25 v1 Probability
Abstract
Nonlinear systems with model uncertainty are often described by stochastic differential equations. Some techniques from random dynamical systems are discussed. They are relevant to better understanding of solution processes of stochastic differential equations and thus may shed lights on predictability in nonlinear systems with model uncertainty.
Keywords
Cite
@article{arxiv.0811.3697,
title = {Predictability in Nonlinear Dynamical Systems with Model Uncertainty},
author = {Jinqiao Duan},
journal= {arXiv preprint arXiv:0811.3697},
year = {2008}
}
Comments
A review and tutorial article; Stochastic Physics and Climate Modeling, T. N. Palmer and P. Williams (eds.), Cambridge Univ. Press, 2008 (to appear)