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针对TCP这样大型复杂的网络系统的拥塞问题,考虑系统中存在的不确定因素是未知非线性的情况,设计了一种采用自适应模糊滑模控制理论的主动队列管理算法。该算法基于网络模型的特殊性,构造了Lyapunov-Krasovskill函数,设计了滑动模面,并基于线性矩阵不等式的方法给出该系统鲁棒渐近稳定的充分条件,所设计的自适应模糊控制律能够使系统的状态轨迹在有限时间内到达滑动模面。仿真结果表明,该算法在网络条件变化的情况下,能实现准确的跟踪目标队列长度,避免网络拥塞的发生。
Aiming at the congestion problem of large and complex network system such as TCP, considering the uncertainties in the system is unknown and nonlinear, an active queue management algorithm based on adaptive fuzzy sliding mode control theory is designed. Based on the particularity of the network model, the algorithm constructs the Lyapunov-Krasovskill function, designs the sliding mode surface and gives the sufficient conditions for the robust asymptotic stability of the system based on the linear matrix inequality. The designed adaptive fuzzy control law It can make the state track of the system reach the sliding surface within a limited time. Simulation results show that the proposed algorithm can accurately track the target queue length and avoid network congestion under the condition of changing network conditions.