Rettberg, A., Anthony, Richard, Chen, Dejiu, Jahnich, Isabell, de Boer, Gerrit and Ekelin, Cecilia (2008) A dynamically reconfigurable automotive control system architecture. In: Chung, Myung Jin and Misra, Pradeep, (eds.) Proceedings of the 17th IFAC World Congress, 2008. International Federation of Automatic Control (IFAC)/Elsevier Ltd. ISBN 978-3-902661-00-5 ISSN 1474-6670 (doi:https://doi.org/10.3182/20080706-5-KR-1001.3670)

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Abstract

This paper proposes a vehicular control system architecture that supports self-configuration. The architecture is based on dynamic mapping of processes and services to resources to meet the challenges of future demanding use-scenarios in which systems must be flexible to exhibit context-aware behaviour and to permit customization. The architecture comprises a number of low-level services that provide the required system functionalities, which include automatic discovery and incorporation of new devices, self-optimisation to best-use the processing, storage and communication resources available, and self-diagnostics. The benefits and challenges of dynamic configuration and the automatic inclusion of users' Consumer Electronic (CE) devices are briefly discussed. The dynamic configuration and control-theoretic technologies used are described in outline and the way in which the demands of highly flexible dynamic configuration and highly robust operation are simultaneously met without compromise, is explained. A number of generic use-cases have been identified, each with several specific use-case scenarios. One generic use-case is described to provide an insight into the extent of the flexible reconfiguration facilitated by the architecture.

Item Type:	Book Section
Additional Information:	This paper forms part of the Proceedings of the 17th IFAC World Congress 2008, held 6-11 July 2008, in Seoul, South Korea. The full text papers are available via the given Official URL.
Uncontrolled Keywords:	dynamics and control of large scale structures, modelling and control of discrete event and hybrid systems, model-driven systems engineering
Subjects:	T Technology > TL Motor vehicles. Aeronautics. Astronautics Q Science > QA Mathematics > QA76 Computer software
Pre-2014 Departments:	School of Computing & Mathematical Sciences School of Computing & Mathematical Sciences > Computer & Computational Science Research Group School of Computing & Mathematical Sciences > Department of Computer Systems Technology
Related URLs:	Publisher Publisher Organisation
Last Modified:	30 Sep 2019 15:24
URI:	http://gala.gre.ac.uk/id/eprint/1281

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