Title :
Analysis and prediction of jitter of internet one-way time-delay for teleoperation systems
Author :
Jianning Hua ; Yujie Cui ; Yanhua Yang ; Hongyi Li
Author_Institution :
Inst. of Control Eng., Northeastern Univ. at Qinhuangdao, Qinhuangdao, China
Abstract :
Internet random time delay constitutes a major challenge for Internet-based teleoperation systems. Since the uncertain time delay may degrade the system performance, and even lead to instability. Although large-scale research works have been conducted on the understanding, testing, and analysis of Internet round trip time delay (RTT), it is not appropriate to use RTT in control methods design. It is well known that control commands arrive at the slave site in an aperiodic manner as a result of Internet random time delay. The subsequent control command will terminate the execution of the current command. Consequently, we will get precise information for slave system once the time delay jitter can be known in advance. This paper proposes a novel research idea for Internet-based teleoperation system from the point of view of delay jitter prediction. Statistical properties of the time delay jitter are investigated. Furthermore, the sparse multivariate linear regression method is used to give prediction on Internet time delay jitter. Simulation results demonstrate that sparse multivariate linear regressive method gives a precise prediction, which indicates that the proposed control method based on Internet time delay jitter has a broad prospect in teleoperation systems.
Keywords :
Internet; control engineering computing; control system synthesis; delays; jitter; regression analysis; uncertain systems; Internet one-way time-delay; control commands; control methods design; jitter prediction; random time delay; round trip time delay; slave site; sparse multivariate linear regression method; statistical properties; teleoperation systems; uncertain time delay; Arrays; Correlation; Delay effects; Delays; Internet; Jitter; jitter of time delay; prediction; sparse multivariate linear regressive method; teleoperation system;
Conference_Titel :
Industrial Informatics (INDIN), 2013 11th IEEE International Conference on
Conference_Location :
Bochum
DOI :
10.1109/INDIN.2013.6622954