Nonlinear FIR Identification with Model Order Reduction Steiglitz-McBride
نویسندگان
چکیده
منابع مشابه
Optimal model order reduction with the Steiglitz-McBride method for open-loop data
In system identification, it is often difficult to find a physical intuition to choose a noise model structure. The importance of this choice is that, for the prediction error method (PEM) to provide asymptotically efficient estimates, the model orders must be chosen according to the true system. However, if only the plant estimates are of interest and the experiment is performed in open loop, ...
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ژورنال
عنوان ژورنال: IFAC-PapersOnLine
سال: 2018
ISSN: 2405-8963
DOI: 10.1016/j.ifacol.2018.09.218