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Implementation of MPC as an AQM controller
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Implementation of MPC as an AQM controller

Marami, B.

  1. DOI:10.1016/j.comcom.2009.09.001
  2. Main Entry: Marami, B.
  3. Title:Implementation of MPC as an AQM controller.
  4. Abstract:Utilizing model predictive controllers (MPC) as an active queue management scheme is investigated in this paper. Model based prediction of future output and determining optimized value of the control signal have made MPC as an advanced control strategy in various modern control systems. In this paper a new approach is proposed to alleviate the computational complexity of MPC in order to implement in fast dynamics systems like computer networks. Neural network approximation of MPC as an active queue management (AQM) method implemented here not only has less computational burden with respect to the common MPC approaches, but also results in better performance compare to the well-known AQM methods such as random early detection (RED) and proportional-integral (PI) control. The proposed AQM approach is implemented in a field-programmable gate array (FPGA) system and its feasibility is investigated by timing analysis
  5. Notes:Sharif Repository
  6. Subject:Active queue management.
  7. Subject:FPGA timing analysis.
  8. Subject:Neural network approximator.
  9. Subject:Active queue management schemes.
  10. Subject:Advanced control strategy.
  11. Subject:Approximators.
  12. Subject:Computational burden.
  13. Subject:Control signal.
  14. Subject:Fast dynamics.
  15. Subject:Model predictive controllers.
  16. Subject:Model-based prediction.
  17. Subject:Modern control.
  18. Subject:Neural network approximation.
  19. Subject:New approaches.
  20. Subject:Predictive control.
  21. Subject:Proportional-integral control.
  22. Subject:Random early detections.
  23. Subject:Timing analysis.
  24. Subject:Computational complexity.
  25. Subject:Congestion control (communication)
  26. Subject:Controllers.
  27. Subject:Field programmable gate arrays (FPGA)
  28. Subject:Neural networks.
  29. Subject:Predictive control systems.
  30. Subject:Queueing networks.
  31. Subject:Queueing theory.
  32. Subject:Time measurement.
  33. Subject:Two term control systems.
  34. Subject:Model predictive control.
  35. Added Entry:Haeri, M.
  36. Added Entry:Sharif University of Technology.
  37. Source: Computer Communications ; Volume 33, Issue 2 , 2010 , Pages 227-239 ; 01403664 (ISSN)
  38. Web Site:http://www.sciencedirect.com/science/article/pii/S0140366409002473

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