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A Predictive Feedback Control Model Using NN and NLMS

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Book cover Knowledge-Based Intelligent Information and Engineering Systems (KES 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2774))

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Abstract

The feedback control method proposed in this paper predicts the queue length in the switch using the slope of queue length prediction function and queue length changes in time-series. The predicted congestion information is backward to the node. NLMS and neural network are used as the predictive control functions, and they are compared from performance on the queue length prediction. Simulation results show the efficiency of the proposed method compared to the feedback control method without the prediction. Therefore, we conclude that the efficient congestion and stability of the queue length controls are possible using the prediction scheme that can resolve the problems caused from the longer delays of the feedback information.

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Author information

Authors and Affiliations

  1. Dept. of Multimedia Information & System, Yosu National University, San 96-1 Dunduckdong, Yosu, JunNam, Korea, 550-749

    Malrey Lee & Dongju Im

  2. Dept. of Information Communication Engineering, ChonBuk National University,  

    Sung Su Park

  3. School of Electronics & Information Engineering, Kunsan National University,  

    Jung sik Lee & Jae wanLee

Authors
  1. Malrey Lee
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  2. Dongju Im
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  3. Sung Su Park
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  4. Jung sik Lee
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  5. Jae wanLee
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Editor information

Editors and Affiliations

  1. Computing Laboratory, Oxford University, Parks Road, OXI 3QD, Oxford, United Kingdom

    Vasile Palade

  2. Centre for SMART Systems, School of Environment and Technology, University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. Knowledge-Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, SA 5095, Adelaide, Australia

    Lakhmi Jain

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© 2003 Springer-Verlag Berlin Heidelberg

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Lee, M., Im, D., Park, S.S., Lee, J.s., wanLee, J. (2003). A Predictive Feedback Control Model Using NN and NLMS. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2774. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45226-3_112

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  • DOI: https://doi.org/10.1007/978-3-540-45226-3_112

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40804-8

  • Online ISBN: 978-3-540-45226-3

  • eBook Packages: Springer Book Archive

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