Active queue management(AQM) is a hotspot in the current studies on network congestion control. Moreover,the feedback control strategy is the most pivotal.This paper applies a optimization method for proportional-integral-differential(PID) controller design with D-stable regions based on the integral of time-weighted absolute error(ITAE) performance to AQM routers that permits the designer to control the desired dynamic performance of a closed-loop system.A set of desired D-stable regions in the complex plane is first specified and then a numerical optimization algorithm based on ITAE performance is run to find the controller parameters such that all the roots of the closed-loop system are within the specified regions.This controller for AQM routers can detect and control the congestion effectively and predictively.Compared with the random early detection(RED) and proportional-integral(PI) algorithms via experimental simulations,the proposed method, called DITAE-PID method,is indeed more efficient and robust in achieving the lower packet loss rate and higher link utilization.