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arXiv physics/0605136physics.data-anphysics.flu-dyn

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

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

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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