Adaptive backstepping H∞ tracking control with prescribed performance for internet congestion

• DOI: 10.1016/j.isatra.2017.10.004
• Publication Date: 2017-10-24T18:01:08Z
• Authors: Yang Liu; Xiaoping Liu; Yuanwei Jing; Shaowei Zhou
• Keywords: 0209 industrial biotechnology; 02 engineering and technology

This paper extends the well-known control method, prescribed performance control (PPC), to network congestion control problems. An adaptive H∞ tracking problem for Transmission Control Protocol/Active Queue Management (TCP/AQM) system with external disturbance is studied. Firstly, a modified network model is given. And then, the model is changed to an equivalent error model by using error transformation. Next, to solve the network congestion problem, prescribed performance, backstepping technique, adaptive control and H∞ control are combined to design a congestion controller. Due to the use of prescribed performance, the controller can guarantee both the transient and steady state performance of the system. Meanwhile, the output of the system can track the desired queue, and unknown link capacity can be estimated. Finally, a simulation result is shown to clarify the feasibility and effectiveness of proposed approach.