Advanced Adaptive Control
The Vision of Autonomic Computing
Computer
Organic Computing - A New Vision for Distributed Embedded Systems
ISORC '05 Proceedings of the Eighth IEEE International Symposium on Object-Oriented Real-Time Distributed Computing
Organic Computing - Addressing Complexity by Controlled Self-Organization
ISOLA '06 Proceedings of the Second International Symposium on Leveraging Applications of Formal Methods, Verification and Validation
Decentralised Progressive Signal Systems for Organic Traffic Control
SASO '08 Proceedings of the 2008 Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems
Machine Learning: An Algorithmic Perspective
Machine Learning: An Algorithmic Perspective
Using organic computing to control bunching effects
ARCS'08 Proceedings of the 21st international conference on Architecture of computing systems
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Machine management systems in off-highway machines such as tractors or wheel loaders are designed for efficient operation and reduced fuel consumption in some predefined scenarios for which the machine has been developed. In this paper, we outline how concepts from Organic Computing may be used to realize a self-organizing, reliable, adaptive, and robust machine management system that is capable of adjusting to new situations. We propose an architecture for a machine management system based on the generic Observer/Controller architecture and focus on the structure of the Observer. Furthermore, we study the feasibility of working cycle detection by the Observer and analyze real and synthetic data from an off-highway machine. To extract features by which different working cycles of an off-highway machine can be distinguished, we employ principal component analysis.