Sparse model identification using orthogonal forward regression with basis pursuit and D-optimality
نویسندگان
چکیده
منابع مشابه
Sparse model identification using orthogonal forward regression with basis pursuit and D-optimality - Control Theory and Applications, IEE Proceedings-
An efficient model identification algorithm for a large class of linear-in-the-parameters models is introduced that simultaneously optimises the model approximation ability, sparsity and robustness. The derived model parameters in each forward regression step are initially estimated via the orthogonal least squares (OLS), followed by being tuned with a new gradient-descent learning algorithm ba...
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ژورنال
عنوان ژورنال: IEE Proceedings - Control Theory and Applications
سال: 2004
ISSN: 1350-2379,1359-7035
DOI: 10.1049/ip-cta:20040693