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

von Marco Gallieri
Softcover - 9783319802473
106,99 €
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Beschreibung

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 magnitude (or slew rate) over the whole horizon length. While standard control techniques lead to continuous movements of all actuators, this approach enables a selected subset of actuators to be used, the others being brought into play in exceptional circumstances. The same approach can also be used to obtain asynchronous actuator interventions, so that control actions are only taken in response to large disturbances. This thesis presents a straightforward and systematic approach to achieving these practical properties, which are ignored by mainstream control theory.

Details

Verlag Springer International Publishing
Ersterscheinung 25. April 2018
Maße 23.5 cm x 15.5 cm
Gewicht 341 Gramm
Format Softcover
ISBN-13 9783319802473
Auflage Softcover reprint of the original 1st ed. 2016
Seiten 187

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