Performance and robustness analysis of a fuzzy-immune flow controller in ATM networks with time-varying multiple time-delays  

作　　者：Tao REN Zhenhua GAO Weiming KONG Yuanwei JING Muyi YANG Georgi M. DIMIROVSKI 

机构地区：[1]Key Laboratory of Process Industry Automation of MOE and Liaoning Province, Northeastern University, Shenyang Liaoning 110004, China [2]School of Information Science and Engineering, Northeastern University, Shenyang Liaoning 110004, China

出　　处：《控制理论与应用（英文版）》2008年第3期253-258,共6页

基　　金：the open subject for Key Laboratory of Process Industry Automation of Ministry of Education.

摘　　要：For the Asynchronous Transfer Mode （ATM） networks with time-varying multiple time-delays, a more realistic model for the available bit rate （ABR） traffic class with explicit rate feedback is introduced. A fuzzy-immune controller is designed, which can adjust the rates of ABR on-line, overcome the bad effect caused by the saturation nonlinearity and satisfy the weighted fairness. Also, the sufficient condition that guarantees the stability of the closed-loop system with a fuzzy-immune controller is presented in theory for the first time. The algorithm exhibits good performance, and most importantly, has a solid theoretical foundation and can be implemented in practice easily. Simulation results show that the control system is rapid, adaptive, robust, and meanwhile, the quality of service （QoS） is guaranteed.For the Asynchronous Transfer Mode （ATM） networks with time-varying multiple time-delays, a more realistic model for the available bit rate （ABR） traffic class with explicit rate feedback is introduced. A fuzzy-immune controller is designed, which can adjust the rates of ABR on-line, overcome the bad effect caused by the saturation nonlinearity and satisfy the weighted fairness. Also, the sufficient condition that guarantees the stability of the closed-loop system with a fuzzy-immune controller is presented in theory for the first time. The algorithm exhibits good performance, and most importantly, has a solid theoretical foundation and can be implemented in practice easily. Simulation results show that the control system is rapid, adaptive, robust, and meanwhile, the quality of service （QoS） is guaranteed.

关 键 词：ATM networks ABR traffic TIME-DELAY Fuzzy-immune controller Robust stabilization 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]