Lasso-MPC -- predictive control with L1-regularised least squares [electronic resource] / Marco Galleri.
2016
TJ217.6
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Details
Title
Lasso-MPC -- predictive control with L1-regularised least squares [electronic resource] / Marco Galleri.
ISBN
9783319279633 (electronic book)
3319279637 (electronic book)
9783319279619
3319279637 (electronic book)
9783319279619
Published
Switzerland : Springer, 2016.
Language
English
Description
1 online resource (xxx, 187 pages) : illustrations.
Item Number
10.1007/978-3-319-27963-3 doi
Call Number
TJ217.6
Dewey Decimal Classification
629.8
Summary
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.
Note
"Doctoral thesis accepted by the University of Cambridge, UK."
Bibliography, etc. Note
Includes bibliographical references.
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Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed April 7, 2016).
Series
Springer theses.
Available in Other Form
Print version: 9783319279619
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Table of Contents
Introduction
Background
Principles of LASSO MPC
Version 1: `1-Input Regularised Quadratic MPC.- Version 2: LASSO MPC with stabilising terminal cost
Design of LASSO MPC for prioritised and auxiliary actuators
Robust Tracking with Soft-constraints
Ship roll reduction with rudder and fins
Concluding Remarks.
Background
Principles of LASSO MPC
Version 1: `1-Input Regularised Quadratic MPC.- Version 2: LASSO MPC with stabilising terminal cost
Design of LASSO MPC for prioritised and auxiliary actuators
Robust Tracking with Soft-constraints
Ship roll reduction with rudder and fins
Concluding Remarks.