Modelling Distributed Control Systems Using IEC 61499
Modelling Distributed Control Systems Using IEC 61499
Realtime Reconfiguration using an IEC 61499 Operating System
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
A reconfigurable concurrent function block model and its implementation in real-time Java
Integrated Computer-Aided Engineering
Industrial deployment of multi-agent technologies: review and selected case studies
Autonomous Agents and Multi-Agent Systems
Zero Downtime Reconfiguration of Distributed Automation Systems: The εCEDAC Approach
HoloMAS '07 Proceedings of the 3rd international conference on Industrial Applications of Holonic and Multi-Agent Systems: Holonic and Multi-Agent Systems for Manufacturing
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Adaptive Manufacturing is identified by the European High-Level Group (Manufuture2004) as one of four major drivers of industrial technologies in “Manufacturing 2020”. New technologies for efficient engineering of safe, fault-tolerant and downtimeless systems and their adaptations are preconditions for this vision of future manufacturing. Without such solutions, engineering adaptations of the Industrial Automation and Control Systems (IACS) will by far exceed the costs of engineering the initial system and the reuse of equipment becomes inefficient. In this work a new approach for model driven, component based development of safe, downtimeless, distributed real–time control and for fault–tolerant, controlled evolution of IACS during their adaptation is proposed. This new method significantly increase engineering efficiency and reuse in component-based IACS.