不确定时滞TCP网络中基于T-S模型的滑模AQM算法

Sliding mode AQM algorithm based on T-S model for TCP networks with uncertainties and time delay

针对传输控制协议(TCP)网络中的拥塞控制问题,基于T-S模糊模型,提出一种滑模主动队列管理(AQM)算法.考虑到TCP网络中存在的不确定和时变时滞因素,对非线性TCP网络进行了T-S模糊模型的建模.利用LMI设计了一个渐近稳定的滑模面,并提出一种能更好抑制抖振现象的到达条件,基于该到达条件设计的控制器能有效地抑制路由器中队列长度的振荡.大量仿真结果表明,所提出的算法比普通滑模AQM算法具有更好的稳定性和鲁棒性.

For the problem of congestion control in transmission control protocol（TCP） networks, a sliding mode active queue management（AQM） algorithm based on T-S fuzzy model is proposed. Considering the uncertainties and time-varying delays in TCP networks, a T-S fuzzy model is obtained for nonlinear TCP networks model. An asymptotically stable sliding surface is designed by using LMI. Moreover, a reaching condition is presented in order to further constrain chattering. Based on the reaching condition, the controller can constrain the oscillation of the queue length in router effectively. Simulation results show that the proposed algorithm has better stability and robustness than common sliding mode AQM algorithm.