2009 International Conference on Adaptive and Intelligent Systems 2009
DOI: 10.1109/icais.2009.20
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A Multi-layered Control Architecture for Self-Management in Adaptive Automotive Systems

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Cited by 5 publications
(3 citation statements)
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“…Thereby, it is possible to handle the complexity of self-adaptation in a networked embedded system which must fulfill various requirements with different scopes (e.g., an automotive invehicle network). Such a multi-layered control architecture for automotive embedded systems, where each control loop is responsible to supervise certain requirements and to adapt a certain part of the system, is introduced in [28]. Thereby, adaptation is performed locally on a lower layer first.…”
Section: Related Workmentioning
confidence: 99%
“…Thereby, it is possible to handle the complexity of self-adaptation in a networked embedded system which must fulfill various requirements with different scopes (e.g., an automotive invehicle network). Such a multi-layered control architecture for automotive embedded systems, where each control loop is responsible to supervise certain requirements and to adapt a certain part of the system, is introduced in [28]. Thereby, adaptation is performed locally on a lower layer first.…”
Section: Related Workmentioning
confidence: 99%
“…In this section, we give a brief overview over hierarchical multi-layered control architectures. For details we refer to (Horn, 2001;Zeller et al, 2009). To cope with the complexity of modern automotive embedded systems, we propose a hierarchical, multi-layered control architecture (see Figure 1).…”
Section: Hierarchical Multi-layered Control Architecturementioning
confidence: 99%
“…an automotive in-vehicle network). Such a multi-layered control architecture for automotive embedded systems where each control loop is responsible to supervise certain requirements and to adapt a certain part of the system is introduced in (Zeller et al, 2009). Thereby, adaptation is performed locally on a lower layer first.…”
Section: Related Workmentioning
confidence: 99%