Könyv Lasso-MPC - Predictive Control with  1-Regularised Least Squares Marco Gallieri

Lasso-MPC - Predictive Control with 1-Regularised Least Squares

Szerző: Marco Gallieri
Nyelv: Angol
Kötés: Kemény kötésű
Elérhetőség: Beszállítói készleten
Küldés 10-13 napon belül
36 044 Ft
This thesis proposes a novel Model Predictive Control (MPC) strategy, which modifies the usual MPC c...

Információk a könyvről

Szerző
Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2016
oldal
187
EAN
9783319279619
ISBN
3319279610
Enbook ID
02848243
Súly
4557
Méretek
155 x 235 x 16

Teljes leírás

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 _1-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.

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