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| Received:October 10, 2006Revised:July 06, 2007 |
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| Performance and robustness analysis of a fuzzy-immune flow controller in ATM networks with time-varying multiple time-delays |
| Tao REN, Zhenhua GAO, Weiming KONG, Yuanwei JING, Muyi YANG, Georgi M. DIMIROVSKI |
| (Key Laboratory of Process Industry Automation of MOE and Liaoning Province, Northeastern University, Shenyang Liaoning 110004, China; School of Information Science and Engineering, Northeastern University, Shenyang Liaoning 110004, China; Faculty of Engineering, Department of Computer Engineering, Dogus University, Istanbul TR-347222, Republic of Turkey) |
| Abstract: |
| 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. |
| Key words: ATM networks ABR traffic Time-delay Fuzzy-immune controller Robust stabilization |
