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题名: Kernel based nonlinear regression for Internet round trip time-delay prediction
作者: Yang YH(杨艳华) ; Li HY(李洪谊)
作者部门: 机器人学研究室
会议名称: 2012 10th World Congress on Intelligent Control and Automation (WCICA)
会议日期: July 6-8, 2012
会议地点: Beijing, China
会议主办者: IEEE Control Systems Society
会议录: Proceedings of the 10th World Congress on Intelligent Control and Automation
会议录出版者: IEEE
会议录出版地: New York, USA
出版日期: 2012
页码: 852-856
收录类别: EI
ISBN号: 978-1-4673-1398-8
关键词: teleoperation system ; prediction ; Round Trip Time-delay (RTT) ; kernel method ; nonlinear correlation coefficient ; long-range autocorrelation
摘要: Time delay degrades the performances of Internetbased control systems or teleoperation system, and even causes instability of closed-loop systems. If the Round Trip Time-delay (RTT) is acquired exactly previously, it is helpful to improve the performance of Internet-based control systems. Therefore, analysis or prediction for Internet time delay has become a hot research problem. This paper proposes the long-range nonlinear autocorrelation of RTT based on the real data of Internet delay measurements. Then, according to the characters, we present a sparse matrix based kernel regression (SMKR) scheme to predict RTT. Finally, simulation results show that the forecasting precision using this method is higher than that using sparse multivariate linear regressive (SMLR) method, which demonstrates the validity of the proposed approach.
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/10205
Appears in Collections:机器人学研究室_会议论文

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Recommended Citation:
杨艳华; 李洪谊.Kernel based nonlinear regression for Internet round trip time-delay prediction.见:IEEE.Proceedings of the 10th World Congress on Intelligent Control and Automation,New York, USA,2012,852-856
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