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...
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| Format: | Electronic eBook |
| Language: | English |
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Cham :
Springer International Publishing : Imprint: Springer,
2016.
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| Series: | Springer Theses, Recognizing Outstanding Ph.D. Research,
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| Online Access: | Full Text via HEAL-Link |
Internet
Full Text via HEAL-LinkΒΚΠ - Πατρα: ALFd
| Call Number: |
330.01 BAU |
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| Copy 1 | Available |
ΒΚΠ - Πατρα: BSC
| Call Number: |
330.01 BAU |
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| Copy 2 | Available |
| Copy 3 | Available |