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题名: A Genetic Based Fuzzy Markov Game Flow Controller for High-speed Networks
作者: Li X(李鑫) ; Yu HB(于海斌)
作者部门: 工业信息学研究室
会议名称: 2011 International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)
会议日期: January 6-7, 2011
会议地点: Shangshai, China
会议录: 2011 International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)
会议录出版者: IEEE Computer Society
会议录出版地: Los Alamitos, CA, USA
出版日期: 2011
页码: 58-61
收录类别: EI
ISBN号: 978-1-4244-9010-3
关键词: flow control ; high-speed network ; Markov game
摘要: For the congestion problems in high-speed networks, a genetic based fuzzy Markov game flow controller (GFMC) is proposed. Because of the uncertainties and highly time-varying, it is not easy to accurately obtain the complete information for high-speed networks. In this case, the fuzzy Markov game, which is independent of mathematic model, and prior-knowledge, has good performance. It offers a promising platform for robust control in the presence of the bounded external disturbances. The genetic operators are used to obtain the consequent parts of fuzzy rules. Simulation results show that the proposed controller can learn to take the best action to regulate source flow with the features of high throughput and low packet loss ratio, and can avoid the occurrence of congestion effectively.
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/8300
Appears in Collections:工业信息学研究室_会议论文

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