Nonlinear Model Predictive Congestion Control for Networks. Issue 1 (July 2017)

• Record Type: Journal Article
• Authors: Han, Cunwu; Li, Mengqi; Jing, Yuanwei; Liu, Lei; Pang, Zhonghua; Sun, Dehui
• Is Part Of: IFAC-PapersOnLine. Volume 50:Issue 1(2017)
• Page Start: 552
• Page End: 557
• Publication Date: 2017-07
• Subjects: Congestion control -- model predictive control -- nonlinear disturbance -- uncertainty -- time-varying delay -- input constraint; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2017.08.066
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: This paper addresses congestion control for networks. The main focus is the modeling and compensation of nonlinear disturbance in the network, which is seldom considered in the literature. A new congestion control method is presented to compensate for the effects of nonlinear disturbance, uncertainty, time-varying delay, and input constraint. A state feedback congestion controller is designed via model predictive control approach. The stability of the closed-loop system is analyzed by using Lyapunov-Krasovskii functional. The effectiveness and feasibility of the proposed controller are verified by simulation results.