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Lasso-MPC – Predictive Control with l1-Regularised Least Squares

Marco Gallieri

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...

2016-03-31 |

Springer

Collection :

Springer Theses



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