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互联网拥塞的自适应反步 H 跟踪控制与规定性能

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

机构信息

College of Information Science and Engineering, Northeastern University, Shenyang 110819, Liaoning, PR China; Department of Electrical Engineering, Lakehead University, Thunder Bay, Ontario, Canada P7B 5E1.

Shandong Jianzhu University, Jinan 250101, Shandong, PR China; Department of Electrical Engineering, Lakehead University, Thunder Bay, Ontario, Canada P7B 5E1.

出版信息

ISA Trans. 2018 Jan;72:92-99. doi: 10.1016/j.isatra.2017.10.004. Epub 2017 Oct 24.

Abstract

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.

摘要

本文将著名的控制方法,规定性能控制(PPC),扩展到网络拥塞控制问题。研究了具有外部干扰的传输控制协议/主动队列管理(TCP/AQM)系统的自适应 H 跟踪问题。首先,给出了一个改进的网络模型。然后,通过误差变换将模型转换为等效误差模型。接下来,为了解决网络拥塞问题,将规定性能、反推技术、自适应控制和 H 控制结合起来设计拥塞控制器。由于采用了规定性能,该控制器可以保证系统的瞬态和稳态性能。同时,系统的输出可以跟踪期望的队列,并且可以估计未知的链路容量。最后,给出了一个仿真结果,以说明所提出方法的可行性和有效性。

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