✦ LIBER ✦
Greatly enhancing the modeling accuracy for distributed parameter systems by nonlinear time/space separation
✍ Scribed by Hai-Tao Zhang; Chen-Kun Qi; Tao Zhou; Han-Xiong Li
- Publisher
- Elsevier Science
- Year
- 2007
- Tongue
- English
- Weight
- 554 KB
- Volume
- 376
- Category
- Article
- ISSN
- 0378-4371
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✦ Synopsis
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.