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
Link To Document :
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