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Mathematical Problems in Engineering
Volume 2013, Article ID 714320, 8 pages
Research Article

Congestion Control Based on Multiple Model Adaptive Control

1Department of Mechanical and Electric Engineering, Soochow University, Suzhou 215006, China
2College of Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou 215009, China

Received 13 August 2013; Accepted 11 October 2013

Academic Editor: Baoyong Zhang

Copyright © 2013 Xinhao Yang and Ze Li. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The congestion controller based on the multiple model adaptive control is designed for the network congestion in TCP/AQM network. As the conventional congestion control is sensitive to the variable network condition, the adaptive control method is adopted in our congestion control. The multiple model adaptive control is introduced in this paper based on the weight calculation instead of the parameter estimation in past adaptive control. The model set is composed by the dynamic model based on the fluid flow. And three “local” congestion controllers are nonlinear output feedback controller based on variable RTT, H2 output feedback controller, and proportional-integral controller, respectively. Ns-2 simulation results in section 4 indicate that the proposed algorithm restrains the congestion in variable network condition and maintains a high throughput together with a low packet drop ratio.