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