On Model Error Modeling in Set Membership Identification
نویسندگان
چکیده
منابع مشابه
On Model Error Modeling in Set Membership Identification
A recent perspective on model error modeling is applied to set membership identification techniques in order to highlight the separation between unmodeled dynamics and noise. Model validation issues are also easily addressed in the proposed framework. The computation of the minimum noise bound for which a nominal model is not falsified by i/o data, can be used as a rationale for selecting an ap...
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ژورنال
عنوان ژورنال: IFAC Proceedings Volumes
سال: 2000
ISSN: 1474-6670
DOI: 10.1016/s1474-6670(17)39745-8