Direct parameter identification of distributed parameter systems

被引:34
|
作者
Coca, D [1 ]
Billings, SA [1 ]
机构
[1] Univ Sheffield, Dept Automat Control & Syst Engn, Sheffield S1 3JD, S Yorkshire, England
关键词
D O I
10.1080/002077200291406
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A new direct approach to identifying the parameters of distributed parameter systems from noise-corrupted data is introduced. The model of the system which takes the form of a set of linear or nonlinear partial differential equations is assumed known with the exception of a set of constant parameters. Using finite-difference approximations of the spatial derivatives the original equation is transformed into a set of ordinary differential equations. The identification approach involves smoothing the measured data and estimating the temporal derivatives using a fixed interval smoother. A least-squares method is then employed to estimate the unknown parameters. Three examples that illustrate the applicability of the proposed approach are presented and discussed.
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页码:11 / 17
页数:7
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