Greatly enhancing the modeling accuracy for distributed parameter systems by nonlinear time/space separation

Hai-Tao Zhang, Chen-Kun Qi, Tao Zhou and Han-Xiong Li

Physica A: Statistical Mechanics and its Applications, 2007, vol. 376, issue C, 215-222

Abstract: An effective modeling method for nonlinear distributed parameter systems (DPSs) is critical for both physical system analysis and industrial engineering. In this paper, 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.

Keywords: Nonlinear-DPS; Nonlinear time/space separation; Modeling accuracy (search for similar items in EconPapers)
Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:376:y:2007:i:c:p:215-222

DOI: 10.1016/j.physa.2006.10.014

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