Congestion tracking control for uncertain TCP/AQM network based on integral backstepping
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Updated: Jan 31, 2026

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Published on: September 20, 2022
Yang Liu1, Xiaoping Liu2, Yuanwei Jing3
1College of Information Science and Engineering, Northeastern University, Shenyang 110819, Liaoning, PR China; Department of Electrical Engineering, Lakehead University, Thunder Bay, P7B 5E1, Ontario, Canada.
Abstract:
An H∞ congestion tracking control problem for nonlinear transmission control protocol/active queue management (TCP/AQM) network is proposed in this paper. Inspired by the existing network models, a modified TCP/AQM network model with external disturbance and modelling uncertainty is first introduced. And then, a novel function for the desired queue length is defined for the first time, which can simulate the changes in the queue length during a day. Next, a novel AQM scheme is presented to control network congestion by combining H∞ theory and integral backstepping technique. The proposed method guarantees that the better tracking performance of the queue is achieved, and all the signals are asymptotically stable in the closed-loop system in probability. Finally, the effectiveness of the presented algorithm is tested by simulation results.
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