Nonlinear set membership regression with adaptive hyper-parameter estimation for online learning and control

Methods known as Lipschitz Interpolation or Nonlinear Set Membership regression have become established tools for nonparametric system-identification and data-based control. They utilise presupposed Lipschitz properties to compute inferences over unobserved function values. Unfortunately, they rely...

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Detaylı Bibliyografya
Asıl Yazarlar: Calliess, J, Roberts, S, Rasmussen, C, Maciejowski, J
Materyal Türü: Conference item
Baskı/Yayın Bilgisi: IEEE 2018