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Authors: Jan Kantert 1 ; Sven Tomforde 2 and Christian Müller-Schloer 1

Affiliations: 1 Leibniz University Hannover, Germany ; 2 Augsburg University, Germany

Keyword(s): Adaptive Control Loop, Organic Computing, Intelligent Control.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Distributed Control Systems ; Formal Methods ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Intelligent Fault Detection and Identification ; Machine Learning in Control Applications ; Planning and Scheduling ; Simulation and Modeling ; Symbolic Systems

Abstract: The increasing coupling of former isolated systems towards an interwoven complex structure poses questions about the controllability and maintainability of the corresponding systems. This paper discusses challenges resulting from the growing complexity of technical systems and derives solution perspectives by utilising concepts from the domain of self-organising and self-optimising systems, in particular from the Organic Computing and Autonomic Computing initiatives.

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Paper citation in several formats:
Kantert, J.; Tomforde, S. and Müller-Schloer, C. (2015). Addressing Challenges Beyond Classic Control with Organic Computing. In Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-758-122-9; ISSN 2184-2809, SciTePress, pages 264-269. DOI: 10.5220/0005556102640269

@conference{icinco15,
author={Jan Kantert. and Sven Tomforde. and Christian Müller{-}Schloer.},
title={Addressing Challenges Beyond Classic Control with Organic Computing},
booktitle={Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2015},
pages={264-269},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005556102640269},
isbn={978-989-758-122-9},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - Addressing Challenges Beyond Classic Control with Organic Computing
SN - 978-989-758-122-9
IS - 2184-2809
AU - Kantert, J.
AU - Tomforde, S.
AU - Müller-Schloer, C.
PY - 2015
SP - 264
EP - 269
DO - 10.5220/0005556102640269
PB - SciTePress

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