Adaptive Congestion Control for Uncertain Networks with Unmatched Nonlinearities

被引：0

作者：

Han, Cunwu ^{[1
]}

Tong, Wei ^{[1
]}

Li, Mengqi ^{[1
]}

Liu, Lei ^{[1
]}

Sun, Dehui ^{[1
]}

机构：

[1] North China Univ Technol, Beijing Key Lab Fieldbus Technol & Automat, Beijing 100144, Peoples R China

来源：

PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019) | 2019年

关键词：

Adaptive control; congestion control; uncertainty; nonlinearity; time-varying delay; ACTIVE QUEUE MANAGEMENT; DESIGN; SYSTEMS;

D O I：

10.1109/ccdc.2019.8833221

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper focuses on dealing with the nonlinearities in network congestion control. The nonlinearities are reflected in time-varying perturbations in the state and delayed state with unknown bounding coefficients, which have not been considered in the existing congestion control methods. A new system model is established for networks with unmatched nonlinearities, uncertainties and time-varying delays, and a new state feedback congestion controller is designed based on adaptive control. Finally, the stability and the performance of the closed-loop system are validated via a new Lyapunov-Krasovskii functional and linear matrix inequality. The effectiveness and feasibility of the proposed congestion controller are verified through simulations.

引用

页码：2834 / 2838

页数：5

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