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Wavelet-based model reduction of distributed parameter systems
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DOI：10.1016/S0009-2509(00)00062-2.png)
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摘要
En 中文
Mathematical models that describe distributed parameter systems are composed of systems of partial differential and algebraic equations. The methods that solve these systems usually yield a high-order (infinite-dimensional) solution. However, for controller synthesis and practical considerations, a low-order model is preferred. This work addresses the development of model reduction through the use of multi-resolution methods that not only yield a finite low-order model but also a representation of the system's multiscale and local behavior such that scale-specific compensation can be realized. Two systems - heat transfer along a flat metal plate, and a packed-bed reactor with axial dispersion are used to demonstrate the proposed approach. (C) 2000 Elsevier Science Ltd. All rights reserved.
Keyword:
model reduction
low-order model
multi-resolution method
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期刊
IF:
4.3
论文数:
2.2W
被引数:
5.5W
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