DocumentCode
2781250
Title
Time-delay analysis and estimation of internet-based robot teleoperation system
Author
Juanping, Zhao ; Xianwen, Gao
Author_Institution
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
fYear
2009
fDate
17-19 June 2009
Firstpage
4643
Lastpage
4646
Abstract
Time-delay is unavoidable and randomly time-varying for teleoperation robot system based on Internet, and also most difficult obstacle between local operators and remote robots. In the paper, we first analyze RTT (roundtrip time or delay) time sequences collected by large numbers of test, and find that RTT time sequences between any two network nodes are irrelevant, so it is irresponsible to estimate the value of network time-delay by modeling methods. But it is also shown that time-delay at any period of time accords with parallel shift gamma distributing (PSGD) instead of Gauss distributing or white noise distributing, and probability density curves of time-delay can be described by finite kinds of probability density of PSGD. It, mean value estimation of network time-delay, therefore can be obtained by forecasting PSGD of time-delay. Then moment estimation method can be used to estimate mean value of network time-delay by estimating parameters of PSGD.
Keywords
Internet; control engineering computing; delays; gamma distribution; telerobotics; white noise; Internet-based robot teleoperation system; RTT time sequences; network time-delay; parallel shift gamma distribution; probability density curves; remote robots; roundtrip time; time-delay analysis; white noise distribution; Delay effects; Delay estimation; Gaussian distribution; Gaussian noise; Internet; Parameter estimation; Robots; Testing; Time varying systems; White noise; Gamma; delay analysis; delay estimation; delay measure; moment estimation method; teleoperation;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location
Guilin
Print_ISBN
978-1-4244-2722-2
Electronic_ISBN
978-1-4244-2723-9
Type
conf
DOI
10.1109/CCDC.2009.5191833
Filename
5191833
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