中文摘要：

主动队列管理（active queue management，简称AQM）是网络拥塞控制的研究热点之一，其中的关键问题是如何设计反馈控制策略．提出一种新的基于D稳定域和时间乘以误差绝对值乘积积分（integral of time-weighted absolute error,简称ITAE）性能准则的比例-积分-微分（proportional-integral-differential，简称PID）优化设计方法（简称DITAE-PID），并用于AQM控制器的设计，控制闭环系统的理想动态性能．首先在复平面上设定一组理想的D稳定域，然后以ITAE为目标函数，通过数值优化算法求出控制器的参数，使得闭环系统的所有特征根都在D稳定域内，以降低排队延时，提高有效吞吐量．对比仿真实验结果表明孩算法能够预先探测和控制拥塞，有较好的鲁棒性，链路利用率更高，丢包率更小，平均队列长度更趋于期望值，同时，趋于期望队列长度的时间更短，其综合性能明显优于典型的随机早期探测（random early detection，简称RED）和比例-积分（proportional-integral，简称PI）算法．

英文摘要：

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.