Greatly enhancing the modeling accuracy for distributed parameter systems by nonlinear time/space separation
Data Analysis, Statistics and Probability
2015-06-26 v3 Fluid Dynamics
Abstract
An effective modeling method for nonlinear distributed parameter systems (DPSs) is critical for both physical system analysis and industrial engineering. In this Rapid Communication, we propose a novel DPS modeling approach, in which a high-order nonlinear Volterra series is used to separate the time/space variables. With almost no additional computational complexity, the modeling accuracy is improved more than 20 times in average comparing with the traditional method.
Cite
@article{arxiv.physics/0605136,
title = {Greatly enhancing the modeling accuracy for distributed parameter systems by nonlinear time/space separation},
author = {Hai-Tao Zhang and Chen-Kun Qi and Tao Zhou and Han-Xiong Li},
journal= {arXiv preprint arXiv:physics/0605136},
year = {2015}
}
Comments
10 figures, 5 pages