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SET MEMBERSHIP ESTIMATION OF NONLINEAR REGRESSIONS

IFAC Proceedings Volumes, 2002
Abstract In this paper we propose a method, based on a Set Membership approach, for the estimation of nonlinear regressions models. At the contrary of most of the existing identification approaches, the method presented in this paper does not need any assumption about the functional form of the model to be identified, but uses only some prior ...
MILANESE, Mario, NOVARA, Carlo
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Interval set‐membership estimation for continuous linear systems

International Journal of Robust and Nonlinear Control, 2020
SummaryThis article proposes a mixed interval set‐membership estimation (ISME) method for continuous linear time‐invariant (LTI) systems by combining the positive system theory and the set theory. The proposed ISME method gives a new mixed interval‐set estimation framework for continuous LTI systems, whose benefit consists in that it has potential to ...
Feng Xu, Songlin Yang, Bin Liang
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