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Diffusion systems: Stability, modeling, and identification
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DOI：10.1109/TIM.2005.853351.png)
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摘要
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Physical phenomena governed by diffusion (for example, mass or heat transfer) are often better described by rational transfer function models G(root s) in root s than by rational forms G(s) in the Laplace variable s. A striking difference between both models is that the impulse response of G(s) decreases exponentially to zero, while that of G(root s) decreases algebraically to zero. Hence, transient effects in diffusion phenomena may last long before they can be neglected in, for example, frequency response function measurements. This paper presents an extended transfer function model and an identification algorithm that can handle the slowly decaying transients and, as a consequence, (significantly) reduce the experiment time.
Keyword:
diffusion
fractional derivative
frequency domain
impulse response
system identification
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期刊
IF:
5.9
论文数:
2.0W
被引数:
5.8W
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Frequency-domain system identification using non-parametric noise models estimated from a small number of data sets.png)
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