Constrained interpolating control: The case of polyhedral invariant set for LPV discrete-time systems

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

Abstract

This paper proposes a method for computing a polyhedral invariant set of linear parameter varying systems in the presence of input and state constraints. The main idea is to add iteratively additional constraints until invariance is obtained. In order to deal with the specific non-convex structure of the one-step state prediction tubes arising in LPV contexts, a convexification procedure is used.

Original languageEnglish
Title of host publication2015 20th International Conference on Methods and Models in Automation and Robotics, MMAR 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages961-964
Number of pages4
ISBN (Electronic)9781479987016
DOIs
Publication statusPublished - 29 Sept 2015
Externally publishedYes
Event20th International Conference on Methods and Models in Automation and Robotics, MMAR 2015 - Miedzyzdroje, Poland
Duration: 24 Aug 201527 Aug 2015

Publication series

Name2015 20th International Conference on Methods and Models in Automation and Robotics, MMAR 2015

Conference

Conference20th International Conference on Methods and Models in Automation and Robotics, MMAR 2015
Country/TerritoryPoland
CityMiedzyzdroje
Period24/08/1527/08/15

Fingerprint

Dive into the research topics of 'Constrained interpolating control: The case of polyhedral invariant set for LPV discrete-time systems'. Together they form a unique fingerprint.

Cite this