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On tuning and complexity of an adaptive model predictive control scheduler

Mahramian, M ; Sharif University of Technology | 2007

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  1. Type of Document: Article
  2. DOI: 10.1016/j.conengprac.2007.02.002
  3. Publisher: 2007
  4. Abstract:
  5. In this paper, adaptive model predictive control is applied to schedule differentiated buffers in routers. The proposed algorithm, adaptive model predictive control scheduler (AMPCS), dynamically regulates the service rates of aggregated traffic classes. This algorithm guarantees some required constraints on proportional or absolute delay. The control parameters and the way they are adjusted as well as the problems of implementing the controller at high data rates are investigated. Theoretical analysis and numerical simulations demonstrate stability of AMPCS and its acceptable quality of service differentiations at core routers while maintaining end to end delay constraints. © 2007 Elsevier Ltd. All rights reserved
  6. Keywords:
  7. Adaptive algorithms ; Adaptive control systems ; Computer simulation ; Quality of service ; Routers ; Telecommunication traffic ; Adaptive model predictive control scheduler (AMPCS) ; Differentiated services ; Proportional delay ; Predictive control systems
  8. Source: Control Engineering Practice ; Volume 15, Issue 9 , 2007 , Pages 1169-1178 ; 09670661 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/abs/pii/S0967066107000354