Design a memory variable structure AQM controller with input-delay estimation

According to TCP RENO response mechanism to the loss packet in the congestion link, the concept of loss packet response time (LPRT) was defined and the TCP/AQM dynamic model in common use was modified with the LPRT. The iterative learning method which is sufficiently utilizing the history information of congestion link was proposed to estimate the LPRT. A linear model including both estimated and true LPRT was obtained by using the linearization technique and input-delay memory compensation. A memory variable structure (MVS) control is proposed for the robust stabilization of uncertain linear input-delay system with matching parametric perturbations. The proposed sliding surface includes a memory to compensate for the input delay of the system. A robust control law is derived to ensure the existence of a sliding mode and to overcome the effects of the input-delay and uncertainty in the sliding mode. The simulation results confirm that the proposed schemes efficiency and stability.