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A Neural Network Approach to QoS Management in Networked Control Systems over Ethernet

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Intelligent Control and Automation

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 344))

Abstract

The popularity of using Ethernet as an industrial communication network in networked control systems (NCSs) has significantly grown in recent years. Despite this, the quality of control (QoC) could be degraded by cross-traffic in Ethernet. To enable networked control over Ethernet, a proactive QoS (quality of service) management scheme that exploits the neural network technology is presented. Using the idea of QoS framework, the shared network resource is dynamically allocated among control loops with respect to cross-traffic fluctuations, which is predicted by a simple and computationally-fast neural network. Simulation results show that the proposed scheme is highly effective in improving the QoC of NCSs over Ethernet.

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References

  1. Otanez, P. G., Parrott, J. T., Moyne, J. R., Tilbury, D. M.: The Implications of Ethernet as a Control Network. Proc. of Global Powertrain Conference, Ann Arbor, MI (2002)

    Google Scholar 

  2. Ji, K., Kim, W. J.: Real-Time Control of Networked Control Systems via Ethernet. Int. J. of Control, Automation, and Systems, Vol. 3, No. 4 (2005) 591–600

    Google Scholar 

  3. Tipsuwan, Y., Chow, M.-Y.: Neural Network Middleware for Model Predictive Path Tracking of Networked Mobile Robot over IP Network, Proc. 29th IEEE IECON’03, Vol. 2, Roanoke, VA (2003) 1419–1424

    Google Scholar 

  4. Robinson, B., Liberatore, V.: On the Impact of Bursty Cross-Traffic on Distributed Real-Time Process Control. Proc. IEEE Int. Workshop on Factory Communication Systems, Vienna, Austria (2004) 147–152

    Google Scholar 

  5. Xia, F., Wang, Z., Sun, Y. X.: Integrated Computation, Communication and Control: Towards Next Revolution in Information Technology. Lecture Notes in Computer Science 3356 (2004) 117–125

    Article  Google Scholar 

  6. Sanfridson, M.: Problem Formulations for QoS Management in Automatic Control. Technical Report TRITA-MMK 2000:3, ISSN 1400-1179, ISRN KTH/MMK-00/3-SE, Royal Institute of Technology (KTH), Sweden (2000)

    Google Scholar 

  7. Xia, F., Li, S. B., Sun, Y. X.: Neural Network Based Feedback Scheduler for Networked Control System with Flexible Workload. Lecture Notes in Computer Science 3611 (2005) 237–246

    Google Scholar 

  8. Moh, W. M., Chen, M. J., Chu, N. M., Liao, C. D.: Traffic Prediction and Dynamic Bandwidth Allocation over ATM: a Neural Network Approach, Computer Communications, Vol. 18, No. 8 (1995) 563–571

    Article  Google Scholar 

  9. Frank, R.J., Davey, N., Hunt, S.P.: Time Series Prediction and Neural Networks, Journal of Intelligent and Robotic Systems 31 (2001) 91–103

    Article  MATH  Google Scholar 

  10. Develekos, G., Michail, O., Douligeris, C.: A Neural Networks Approach to the Estimation of the Retransmission Timer (RTT). Proc. 9th Panhellenic Conf. in Informatics, Thessaloniki, Greece (2003)

    Google Scholar 

  11. Henriksson, D., Cervin, A., Årzén, K. E.: True Time: Simulation of Control Loops Under Shared Computer Resources. Proc. of the 15th IFAC World Congress on Automatic Control, Barcelona, Spain (2002)

    Google Scholar 

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© 2006 Springer-Verlag Berlin Heidelberg

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Zhao, W., Xia, F. (2006). A Neural Network Approach to QoS Management in Networked Control Systems over Ethernet. In: Huang, DS., Li, K., Irwin, G.W. (eds) Intelligent Control and Automation. Lecture Notes in Control and Information Sciences, vol 344. Springer, Berlin, Heidelberg . https://doi.org/10.1007/978-3-540-37256-1_51

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  • DOI: https://doi.org/10.1007/978-3-540-37256-1_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-37255-4

  • Online ISBN: 978-3-540-37256-1

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