Description: Lasso-MPC - Predictive Control with 1-Regularised Least Squares Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Marco Gallieri Format: Paperback Publisher: Springer International Publishing AG, Switzerland Imprint: Springer International Publishing AG ISBN-13: 9783319802473, 978-3319802473 Synopsis 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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Location: Aldershot
End Time: 2025-02-03T11:01:13.000Z
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Book Title: Lasso-MPC - Predictive Control with 1-Regularised Least Squares
Number of Pages: 187 Pages
Language: English
Publication Name: Lasso-Mpc-Predictive Control with 1-Regularised Least Squares
Publisher: Springer International Publishing A&G
Publication Year: 2018
Subject: Computer Science
Item Height: 235 mm
Item Weight: 3401 g
Type: Textbook
Author: Marco Gallieri
Subject Area: Mechanical Engineering
Series: Springer Theses
Item Width: 155 mm
Format: Paperback
