Tampere University of Technology

TUTCRIS Research Portal

Computationally efficient optimization algorithms for model predictive control of linear systems with integer inputs

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publication2015 54th IEEE Conference on Decision and Control, CDC 2015
Pages3663-3668
Number of pages6
ISBN (Electronic)9781479978861
DOIs
Publication statusPublished - 16 Dec 2015
Externally publishedYes
Publication typeA4 Article in a conference publication
Event54th IEEE Conference on Decision and Control, CDC 2015 - Osaka, Japan
Duration: 15 Dec 201518 Dec 2015

Conference

Conference54th IEEE Conference on Decision and Control, CDC 2015
CountryJapan
CityOsaka
Period15/12/1518/12/15

Abstract

The model predictive control problem of linear systems with integer inputs results in an integer optimization problem. In case of a quadratic objective function, the optimization problem can be cast as an integer least-squares (ILS) problem. Three algorithms to solve this problem are proposed in this paper. Optimality can be traded in to reduce the computation time. An industrial case study-an inverter-driven electrical drive system-is considered to demonstrate the effectiveness of the presented techniques.