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CDM-based design and performance evaluation of a robust AQM method for dynamic TCP/AQM networks

Bigdeli, N ; Sharif University of Technology | 2009

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  1. Type of Document: Article
  2. DOI: 10.1016/j.comcom.2008.10.005
  3. Publisher: 2009
  4. Abstract:
  5. A new robust AQM strategy for dynamically varying TCP/AQM networks is proposed and its performance is investigated through computer simulations in MATLAB and ns-2 environments. The developed AQM is designed based on coefficient diagram method (CDM), which is a new indirect pole placement method that considers the speed, stability and robustness of the closed loop system in terms of time domain specifications. Simulation results indicate that the new method (CDM-AQM) performs very well for network variations both in topology and traffic. Besides, a new adaptive controller based on CDM as an AQM method is introduced. In the developed adaptive AQM (ACDM), the output feedback pole placement is implemented in an indirect model reference adaptive control (MRAC) scheme, in which the closed loop characteristic polynomial is determined by CDM and the system parameters are estimated using a modified recursive gradient method. This method preserves the existing features of CDM controller in the control of networks with unknown or time-varying parameters. Simulation results illustrate high capability of the controller in coping with the network variations. © 2008 Elsevier B.V. All rights reserved
  6. Keywords:
  7. Active queue management ; Coefficient diagram method ; Model reference adaptive control ; Recursive parameter estimation ; Closed loop control systems ; Closed loop systems ; Computer networks ; Continuum damage mechanics ; Control theory ; Gradient methods ; MATLAB ; Model structures ; Parameter estimation ; Poles ; Poles and zeros ; Queueing networks ; Recursive functions ; System stability ; Telecommunication networks ; Time domain analysis ; Time varying networks ; And performance evaluations ; Characteristic polynomials ; Closed loops ; Control of networks ; Model reference adaptive controls ; Network variations ; Output feedbacks ; Pole placement methods ; Pole placements ; Stability and robustnesses ; System parameters ; Time domains ; Varying parameters ; Adaptive control systems
  8. Source: Computer Communications ; Volume 32, Issue 1 , 2009 , Pages 213-229 ; 01403664 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/abs/pii/S0140366408005410