Identification of nonlinear systems with non-persistent excitation using an iterative forward orthogonal least squares regression Algorithm
نویسندگان
چکیده
منابع مشابه
Identification of nonlinear systems with non-persistent excitation using an iterative forward orthogonal least squares regression algorithm
A new iterative orthogonal least squares forward regression (iOFR) algorithm is proposed to identify nonlinear systems which may not be persistently excited. By slightly revising the classic forward orthogonal regression (OFR) algorithm, the new iterative algorithm provides search solutions on a global solution space. Examples show that the new iterative algorithm is computationally efficient a...
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ژورنال
عنوان ژورنال: International Journal of Modelling, Identification and Control
سال: 2015
ISSN: 1746-6172,1746-6180
DOI: 10.1504/ijmic.2015.067496