首页> 外文会议>Advances in Neural Networks - ISNN 2007 pt.1; Lecture Notes in Computer Science; 4491 >Multiple Approximate Dynamic Programming Controllers for Congestion Control
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Multiple Approximate Dynamic Programming Controllers for Congestion Control

机译:用于拥塞控制的多个近似动态编程控制器

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A communication network is a highly complex nonlinear dynamical system. To avoid congestion collapse and keep network utilization high, many congestion control methods have been proposed. In this paper, a new framework, using Adaptive Critic Designs (ACD) based on Approximate Dynamic Programming (ADP) theory, is presented for network congestion control. At the present time, almost all ACD controllers are designed for centralized control system. In the new frame, the whole network is considered as a multiple non-cooperative ACDs control system, wherein, each source controller is governed by an ACD. This frame provides a new approach to solve the congestion control problem of the networks.
机译:通信网络是高度复杂的非线性动力学系统。为了避免拥塞崩溃并保持较高的网络利用率,已经提出了许多拥塞控制方法。本文提出了一种基于近似动态规划(ADP)理论的自适应关键设计(ACD)的新框架,用于网络拥塞控制。目前,几乎所有的ACD控制器都是为集中控制系统设计的。在新的框架中,整个网络被视为一个多个非合作的ACD控制系统,其中,每个源控制器都由ACD来管理。该框架提供了一种解决网络拥塞控制问题的新方法。

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