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

来源 :Journal of Control Theory and Applications | 被引量 : 0次 | 上传用户:fdazhyy
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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 con-troller 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 con troller is designed, which can the rate 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.
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