中文说明：应用背景最近的研究表明，流体为基础的模型可以描述瓶颈网络[1-3]的动态行为。基于流体模型的稳定性可以反映网络中是否存在拥塞。关键技术我们开发一个基于流体模型[2,3]在平衡线性化处理[ 1 ]为主动队列管理的网络的稳定性分析点（AQM）。%用不确定线性时滞系统描述了瓶颈网络的1，%然后二维（二维）拉普拉斯-Z变换已经广泛的应用在网络[ 1 ]稳定性试验。模拟[ 1 ]验证稳定性分析的AQM网络是有效的，AQM网络方法的充分利用，而对带宽延迟产品的命令缓冲区的大小是以充分利用流体模型稳定性的必要。%
English Description：
Application backgroundRecent research reveals that the fluid-based model can describe the dynamic behavior for bottleneck networks [1-3]. The stability of the fluid-based model can reflect whether there exists a congestion of the network. Key Technology% We develop a linearization processing [1] for fluid-based model [2,3] at equilibrium % points for the stability analysis of the networks with Active Queue Management (AQM). % % The bottleneck networks are described by uncertain linear time-delay systems [1], % then 2-D (two-dimensional) Laplace-z transform has been applied in the stability test of the network [1]. Simulations [1] verify the stability analysis for AQM network to be valid, the AQM network approaches to full utilization, while the buffer size on the order of bandwidth-delay product is necessary for the stability of the fluid model with full utilization. % <