Identification of continuous-time models
Identification of continuous-time models
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DOI:
10.1109/cdc.1992.371795
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发表时间:
1992-12
期刊:
影响因子:
--
通讯作者:
Rolf Johansson
中科院分区:
文献类型:
--
作者:
Rolf Johansson
The problem of estimating the transfer function of a continuous-time dynamic system in the presence of colored noise is considered. An operator transformation that allows for keeping a continuous-time parametrization is introduced; the parameter estimation can be made by means of a discrete-time maximum-likelihood algorithm. A comparison is made between the performance of the new method in comparison with a standard identification of an ARMAX (autoregressive moving-average with exogeneous input) model. The method is useful in cases where it is important to estimate the coefficients of a continuous-time transfer function and to maintain a physical interpretation of the transfer function results.>