loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Lukas Markolf and Olaf Stursberg

Affiliation: Control and System Theory, Dept. of Electrical Engineering and Computer Science, University of Kassel, Wilhelmshöher Allee 73, 34121 Kassel, Germany

Keyword(s): Neural Networks, Intelligent Control, Hybrid Systems, Approximate Dynamic Programming.

Abstract: This work considers (deep) artificial feed-forward neural networks as parametric approximators in optimal control of discrete-time switched linear systems with controlled switching. The proposed approach is based on approximate dynamic programming and allows the fast computation of (sub-)optimal discrete and continuous control inputs, either by approximating the optimal cost-to-go functions or by approximating the optimal discrete and continuous input policies. An important property of the approach is the satisfaction of polytopic state and input constraints, which is crucial for ensuring safety, as required in many control applications. A numeric example is provided for illustration and evaluation of the approaches.

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 18.118.33.98

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:
Markolf, L. and Stursberg, O. (2021). Learning-based Optimal Control of Constrained Switched Linear Systems using Neural Networks. In Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics - ICINCO; ISBN 978-989-758-522-7; ISSN 2184-2809, SciTePress, pages 90-98. DOI: 10.5220/0010581600900098

@conference{icinco21,
author={Lukas Markolf and Olaf Stursberg},
title={Learning-based Optimal Control of Constrained Switched Linear Systems using Neural Networks},
booktitle={Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics - ICINCO},
year={2021},
pages={90-98},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010581600900098},
isbn={978-989-758-522-7},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics - ICINCO
TI - Learning-based Optimal Control of Constrained Switched Linear Systems using Neural Networks
SN - 978-989-758-522-7
IS - 2184-2809
AU - Markolf, L.
AU - Stursberg, O.
PY - 2021
SP - 90
EP - 98
DO - 10.5220/0010581600900098
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