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Predictive control for vehicular sensor networks based on round-trip time-delay prediction

Predictive control for vehicular sensor networks based on round-trip time-delay prediction

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With the rapid development of vehicular sensor networks (VSNs) technology, the potential use of networked real-time control and automation is enormous and appealing. However, closed-loop control VSNs via the Internet are very difficult to implement practically because of their stochastic nature. One of the biggest challenges in VSNs is how to deal with sensor networks time delay and data loss. The authors investigate the potential of using the predictive control scheme for VSNs based on round-trip time (RTT) delay prediction to overcome the VSNs transmission delay and data loss. The predicted RTT delay is taken as the sampling interval reference for variable-period sampling approach. Modelling the time delay of networked control systems as a non-linear time series, the least mean square (LMS) filter algorithm is adopted to predict online the time delay induced in VSNs. The simulation results show that the LMS algorithm can achieve ideal efficacy if time delay has no variety abnormally. The predictive compensation strategy is proposed to reduce the detrimental effect of stochastic time delays induced by communication networks on control performance. The results of offline simulations via the Internet illustrate that the predictive control scheme based on RTT delay prediction has the potential to overcome the VSNs time delay and data loss.

References

    1. 1)
    2. 2)
      • Hokayem, P.F., Abdallah, C.T.: `Networked control systems: a sampled-data approach', Proc. IEEE Int. Symp. Intelligent Control, 2003, 5, p. 415–419.
    3. 3)
      • Y.-H. Ke , H.-Y. Li , C.-J. Li . Safety design of process control systems based on interne. J. Huazhong Univ. Sci. Technol. , 31 - 33
    4. 4)
      • Brady, K., Tzyh, J.T.: `Internet-based remote teleoperation', Proc. IEEE Int. Conf. Robotics and Automation, 1999, p. 65–70.
    5. 5)
      • Y. Halevi , A. Ray . Performance analysis of integrated communication and control system networks. J. Dyn. Syst., Meas. Control , 3 , 365 - 371
    6. 6)
      • Goldberg, K.: `Collaborative teleoperation via the internet', Proc. IEEE Int. Conf. Robotics and Automation, 2000, p. 2019–2024.
    7. 7)
      • K.H. Han , S. Kim , Y.J. Kim , J.H. Kim . Internet control architecture for internet-based personal robot. Auton. Robots , 135 - 147
    8. 8)
      • W. Qingpeng , T. Dalong . Network time-delay test and analysis in the control of internet-base telerobotics. Robot , 4 , 316 - 321
    9. 9)
      • X.-h. Ma , J.-y. Xie . Research on network delays of networked control systems. J. Shanghai Jiaotong Univ. (Sci.) , 1 , 25 - 29
    10. 10)
      • Mahmoud, M.S., Ismail, A.: `Role of delays in networked control systems', Proc. 10th IEEE Int. Conf. Electronics, Circuits and Systems, 2003, 1, p. 40–43.
    11. 11)
      • Nilsson, J.: `Real-time control systems with delays', 1998, PhD, , Department of Automatic Control of Lund Institute of Technology, Sweden.
    12. 12)
      • L. Xie , H. Fang . Analysis and optimization of delays in networked control systems. J. Syst. Engng. Electron. , 3 , 654 - 659
    13. 13)
      • Zhang, L., Shi, Y., Chen, T., Huang, B.: `A new method for stabilization of networked control systems with random delays', Proc. American Control Conf., 2005, 1, p. 633–637.
    14. 14)
      • S.H. Yang , X. Chen , J.L. Alty . Design issues and implementation of internet-based process control system. Control Engng. Pract. , 709 - 720
    15. 15)
      • R. Luck , A. Ray . Experimental verification of a delay compensation algorithm for integrated communication and control systems. Int. J. Control , 1357 - 1372
    16. 16)
    17. 17)
      • J. Huang , P.-D. Wu , Z. Xiu . Variable-sampling process in internet-based motion control system. Control Decis. , 755 - 759
    18. 18)
      • H.-Y. Li . Time-delay compensation for internet-based process control systems. J. Huazhong Univ. Sci. Technol. , 51 - 53
    19. 19)
      • L. Hongyan , W. Hong , G. Chao . Internet time-delay prediction based on autoregressive and neural network model. Proc. Int. Conf. on Communications, Circuits and Systems, ICCCAS , 1758 - 1761
    20. 20)
      • W. Yongji , Y. Ye , W. Hao . Analysis and prediction of internet time-delay based on support vector machines. J. Huazhong Univ. Sci. Technol. , 5 , 89 - 91
    21. 21)
      • L. Chunmao , X. Jian . Approach of adaptive prediction control on networked control systems based on least-squares support vector machines. J. Syst. Simul. , 15 , 3494 - 3502
    22. 22)
      • Yang, S.H., Dai, C.: `Multi-rate control in internet-based control systems', UK Control Conf. 2004, 2004, Bath, UK.
    23. 23)
      • W. Hu , G.-P. Liu . Networked predictive control over the internet using round-trip delay measurement. IEEE Trans. Instrum. Meas. , 10 , 2231 - 2241
    24. 24)
      • W.-y. Zhang , D.-x. Huang , Y.-h. Jin . Predictive control-based closed-loop control under the internet environment. Control Decis. , 1341 - 1344
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-com.2009.0132
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