loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Niklas Jöres 1 ; Christoph Kaufmann 1 ; 2 ; 3 ; Leona Schnelle 3 ; Carlos Cateriano Yáñez 1 ; 3 ; 4 ; Georg Pangalos 1 and Gerwald Lichtenberg 3

Affiliations: 1 Application Center for Integration of Local Energy Systems, Fraunhofer IWES, Hamburg, Germany ; 2 Centre d’Innovació Tecnològica en Convertidors Estàtics i Accionaments (CITCEA), Departament d’Enginyeria Elèctrica, Universitat Politècnica de Catalunya (UPC), Barcelona, Spain ; 3 Faculty of Life Science, HAW Hamburg, Germany ; 4 Universitat Politècnica de València, Instituto Universitario de Automática e Informática Industrial, València, Spain

Keyword(s): Multilinear Systems, Tensor Decomposition.

Abstract: Large and highly complex systems can be found in various application areas. Modeling these systems requires appropriate representation of the underlying phenomena. Furthermore, due to the large dimensions efficient simulation and low memory requirements are needed for such models. Multilinear modeling is a promising approach to address these challenges. In this paper, we introduce a reduced canonical polyadic (CP) representation for implicit time-invariant multilinear (iMTI) models. This representation is capable of storing large models with very low memory requirements. This is particularly useful for efficient analyses of large systems with numerous inputs and states.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.133.147.87

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Jöres, N.; Kaufmann, C.; Schnelle, L.; Yáñez, C.; Pangalos, G. and Lichtenberg, G. (2022). Reduced CP Representation of Multilinear Models. In Proceedings of the 12th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH; ISBN 978-989-758-578-4; ISSN 2184-2841, SciTePress, pages 252-259. DOI: 10.5220/0011273100003274

@conference{simultech22,
author={Niklas Jöres. and Christoph Kaufmann. and Leona Schnelle. and Carlos Cateriano Yáñez. and Georg Pangalos. and Gerwald Lichtenberg.},
title={Reduced CP Representation of Multilinear Models},
booktitle={Proceedings of the 12th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH},
year={2022},
pages={252-259},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011273100003274},
isbn={978-989-758-578-4},
issn={2184-2841},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH
TI - Reduced CP Representation of Multilinear Models
SN - 978-989-758-578-4
IS - 2184-2841
AU - Jöres, N.
AU - Kaufmann, C.
AU - Schnelle, L.
AU - Yáñez, C.
AU - Pangalos, G.
AU - Lichtenberg, G.
PY - 2022
SP - 252
EP - 259
DO - 10.5220/0011273100003274
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic