Coordination of Self-Optimizing Mechatronic Systems - A New Application for Multi-Agent Planning.
Conference: ICAART 2009 - Proceedings of the International Conference on Agents and Artificial Intelligence, Porto, Portugal, January 19 - 21, 2009
The paradigm of self-optimization introduces flexible and highly adaptive mechatronic systems. During the exploiation of this flexibility, new problems arise. One of these problems is the coordination of mechatronics systems and subsystems. This paper introduces the application area self-optimizing mechatronic systems and identifies the arising coordination problems. Two main scenarios are identified: coordination of autonomous mechatronic systems and coordination of several subsystems within an autonomous mechatronic system. We will show that multi-agent technology and in particular multi-agent planning can be applied to solve both coordination scenarios.
Available from: uni-paderborn.de
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ABSTRACT: Self-optimizing mechatronic systems are a new class of technical systems. On the one hand, new challenges regarding dependability arise from their additional complexity and adaptivity. On the other hand, their abilities enable new concepts and methods to improve the dependability of mechatronic systems. This paper introduces a multi-level dependability concept for self-optimizing mechatronic systems and shows how planning can be used to improve the availability and reliability of systems in the operating stages.
Computational Intelligence in Control and Automation, 2009. CICA 2009. IEEE Symposium on; 05/2009
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ABSTRACT: This paper focuses on the need of the large equipment manufacturing industry to adapt collaborative operation to transform the industry to cloud manufacturing services and to solve the new problem of federal resources coordination in complete service operation. We systematically study federal resources cooperation under cloud manufacturing mode to complete a large complex project. The primary research contents are divided into four points. First, a system structure of cloud manufacturing service mode is presented. Second, a synergy logic framework from the global system perspective is designed based on generalised partial global planning. Third, a multi-level system coordination mechanism is established by integrating various methods, including the bidding game mechanism for enterprise external resources, the planning control mechanisms for enterprise internal resource and the global collaborative optimisation mechanism for enterprise global federal resources. Finally, a cloud manufacturing service platform for a typical enterprise is developed by combining theory with practice. The results can realise collaborative management in resource selection and configuration, service process planning control and service information feedback in cloud manufacturing service, as well as achieve overall synergy effect for the system.
International Journal of Production Research 01/2014; 52(2). DOI:10.1080/00207543.2013.825383 · 1.48 Impact Factor
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