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...
Call Number: | Libro Electrónico |
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Main Author: | |
Corporate Author: | |
Format: | Electronic eBook |
Language: | Inglés |
Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
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Edition: | 1st ed. 2016. |
Series: | Springer Theses, Recognizing Outstanding Ph.D. Research,
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Subjects: | |
Online Access: | Texto Completo |