一个新奇概率的模糊控制系统被建议在控制协议(TCP ) 联网的传播对待拥挤回避问题。TCP 网络的交通测量上的研究证明了包交通展出称为自我类似的长期的依赖性质,它降级网络表演极大地。概率的模糊控制(陆军) 系统被用来在网络系统处理自我类似的交通和当模特儿的不确定性的复杂随机的特征。一三维(3-D ) 会员功能(MF ) 在 PFC 被嵌入表示并且描述网络交通的随机的特征。3-D MF 延长了传统模糊平面印射并且进一步提供在“ fuzziness-randomness-state ”之中的空间印射。3-D MF 的另外的随机的表示提供 PFC 处理自我类似的交通的随机的特征的另外的自由。模拟实验证明建议控制方法在随机的环境与传统的控制计划相比完成优异性能。
A novel probabilistic fuzzy control system is proposed to treat the congestion avoidance problem in transmission control protocol (TCP) networks. Studies on traffic measurement of TCP networks have shown that the packet traffic exhibits long range dependent properties called self-similarity, which degrades the network performance greatly. The probabilistic fuzzy control (PFC) system is used to handle the complex stochastic features of self-similar traffic and the modeling uncertainties in the network system. A three-dimensional (3-D) membership function (MF) is embedded in the PFC to express and describe the stochastic feature of network traffic. The 3-D MF has extended the traditional fuzzy planar mapping and further provides a spatial mapping among "fuzziness-randomness-state". The additional stochastic expression of 3-D MF provides the PFC an additional freedom to handle the stochastic features of self-similar traffic. Simulation experiments show that the proposed control method achieves superior performance compared to traditional control schemes in a stochastic environment.