Optimizing Quality of Control in Networked Automation Systems using Probabilistic Models.

Greifeneder, Jürgen und Georg Frey:
Optimizing Quality of Control in Networked Automation Systems using Probabilistic Models
Proceedings of the 11^th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2006), Prague, Czech Republic, pp. 372-379, September 2006.

Abstract: New technological trends lead to the increasing use of network technologies in automation. Especially the Ethernet with TCP/IP and wireless networks find growing acceptance. The resulting networked automation systems (NAS) display properties such as stochastic delays and information loss, which are not known in classical automation structures. When control quality is to be assessed, these properties have to be determined. In this paper, the determination is achieved in a modeling approach based on Probabilistic Timed Automata (PTA). The derived models allow the analysis of delays using Probabilistic Model Checking (PMC). A case study will illustrate how the results of the analysis can be applied to increase the product quality in a manufacturing system controlled by an NAS.

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Jürgen Greifeneder, 26.09.2006 Impressum

Greifeneder, Jürgen und Georg Frey: Optimizing Quality of Control in Networked Automation Systems using Probabilistic Models Proceedings of the 11th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2006), Prague, Czech Republic, pp. 372-379, September 2006.

Greifeneder, Jürgen und Georg Frey:
Optimizing Quality of Control in Networked Automation Systems using Probabilistic Models
Proceedings of the 11^th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2006), Prague, Czech Republic, pp. 372-379, September 2006.