Active queue management algorithm based on fuzzy sliding model controller
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CitationJing, Y., Yu, N., Kong, Z., & Dimirovski, G. M. (2008). Active queue management algorithm based on fuzzy sliding model controller. In 17th IFAC World Congress(pp. 6148-6153).https://dx.doi.org/10.3182/20080706-5-KR-1001.01038
The active queue management (AQM) problem of networks is discussed. An AQM scheme is presented based on improved sliding model controller. The proposed controller combines the excellent characteristics of linear sliding model controller (LSMC) and the terminal sliding model controller (TSMC). The LSMC is used to speed up the error convergence when the error is greater than one, and the TSMC is adopted to guarantee the error convergence to zero in a finite time when the error is around the zero. The chattering in the conventional sliding model control systems is avoided with the employed continuous controller. The simulation results show that the proposed scheme has strong robust against the network modeling uncertainties and disturbances, as well as leads to the convergence of the output queue to the desired value quickly and precisely than employing either LSMC or TSMC alone.