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Lasso-MPC - Predictive Control with ℓ1-Regularised Least Squares
This thesis proposes a novel Model Predictive Control (MPC) strategy, which modifies the usual MPC cost function in order to achieve a desirable sparse actuation. It features an ℓ1-regularised least squares loss function, in which the control error variance competes with the sum of input channels ma...
Yazar: | Gallieri, Marco (Yazar) |
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Müşterek Yazar: | SpringerLink (Online service) |
Materyal Türü: | e-Kitap |
Dil: | İngilizce |
Baskı/Yayın Bilgisi: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
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Edisyon: | 1st ed. 2016. |
Seri Bilgileri: | Springer Theses, Recognizing Outstanding Ph.D. Research,
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Konular: | |
Online Erişim: | Full-text access OPAC'ta görüntüle |
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