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New results on filter design for sampled-data systems with packet dropouts and transmission delays

New results on filter design for sampled-data systems with packet dropouts and transmission delays

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In this study, the problem of filtering for sampled-data systems under unreliable communication links is investigated. The phenomena of data packet dropouts and signal transmission delays are addressed in a unified framework. The objective is to design an admissible filter to guarantee the asymptotic stability of the filtering error system and minimise the disturbance attenuation level. Thanks to the proposed novel Lyapunov–Krasovskii functional together with the improved Wirtinger's inequality and the reciprocally convex approach, novel sufficient linear-matrix-inequality-based conditions are obtained for the existence and design of admissible filters. Finally, two simulation examples are provided to illustrate the efficiency and less conservativeness of the proposed filter design methods.

References

    1. 1)
      • 1. Mathiyalagan, K.J., Park, H., Sakthivel, R.: ‘Robust reliable dissipative filtering for networked control systems with sensor failure’, IET Signal Process., 2014, 8, (8), pp. 809822.
    2. 2)
      • 2. Zhu, C., Xia, Y., Xie, L., et al: ‘Optimal linear estimation for systems with transmission delays and packet dropouts’, IET Signal Process., 2013, 7, (9), pp. 814823.
    3. 3)
      • 3. Rezaei, H., Esfanjani, R.M., Farsi, M.: ‘Robust filtering for uncertain networked systems with randomly delayed and lost measurements’, IET Signal Process., 2015, 9, (4), pp. 320327.
    4. 4)
      • 4. Lin, H., Su, H., Shu, Z., et al: ‘Optimal estimation in UDP-like networked control systems with intermittent inputs: stability analysis and suboptimal filter design’, IEEE Trans. Autom. Control, 2016, 61, (7), pp. 17941809.
    5. 5)
      • 5. Qiu, J., Gao, H., Ding, S.X.: ‘Recent advances on fuzzy-model-based nonlinear networked control systems: A Survey’, IEEE Trans. Ind. Electron., 2016, 63, (2), pp. 12071217.
    6. 6)
      • 6. Wu, Z.-G., Shi, P., Su, H., et al: ‘Sampled-data fuzzy control of chaotic systems based on T-S fuzzy model’, IEEE Trans. Fuzzy Syst., 2014, 22, (1), pp. 153163.
    7. 7)
      • 7. Li, H., Jing, X., Lam, H.K., et al: ‘Fuzzy sampled-data control for uncertain vehicle suspension systems’, IEEE Trans. Cybern., 2014, 44, (7), pp. 11111126.
    8. 8)
      • 8. Wang, M., Qiu, J., Chadli, M., et al: ‘A switched system approach to exponential stabilization of sampled-data T-S fuzzy systems with packet dropouts’, IEEE Trans. Cybern., 2016, 46, (12), pp. 31453156.
    9. 9)
      • 9. Wu, Z.-G., Shi, P., Su, H., et al: ‘Dissipativity-based sampled-data fuzzy control design and its application to truck-trailer system’, IEEE Trans. Fuzzy Syst., 2015, 23, (5), pp. 16691679.
    10. 10)
      • 10. Fridman, E.: ‘A refined input delay approach to sampled-data control’, Automatica, 2010, 46, (2), pp. 421427.
    11. 11)
      • 11. Chen, B., Zhang, W.-A., Yu, L.: ‘Distributed fusion estimation with missing measurements, random transmission delays and packet dropouts’, IEEE Trans. Autom. Control, 2014, 59, (7), pp. 19611967.
    12. 12)
      • 12. Chen, B., Hu, G., Zhang, W.-A., et al: ‘Distributed mixed H2/H fusion estimation with limited communication capacity’, IEEE Trans. Autom. Control, 2016, 61, (3), pp. 805810.
    13. 13)
      • 13. Leong, A.S., Dey, S., Nair, G.N.: ‘Quantized filtering schemes for multi-sensor linear state estimation: stability and performance under high rate quantization’, IEEE Trans. Signal Process., 2013, 61, (15), pp. 38523865.
    14. 14)
      • 14. Che, W.-W., Yang, G.-H.: ‘H filter design for continuous-time systems with quantised signals’, Int. J. Syst. Sci., 2013, 44, (2), pp. 265274.
    15. 15)
      • 15. Wang, F., Che, W.-W., Xu, H.-L.: ‘H filtering for uncertain systems with time-time and randomly occurred sensor nonlinearities’, Neurocomputing, 2016, 174, (22), pp. 571576.
    16. 16)
      • 16. Xu, J., Huang, F., Ben, D.: ‘Quantised innovation Kalman filter: performance analysis and design of quantised level’, IET Signal Process., 2014, 8, (7), pp. 759773.
    17. 17)
      • 17. Wang, P.-P., Che, W.-W.: ‘Quantized H filter design for networked control systems with random nonlinearity and sensor saturation’, Neurocomputing, 2016, 193, (12), pp. 1419.
    18. 18)
      • 18. Liu, W.: ‘Optimal estimation for discrete-time linear systems in the presence of multiplicative and time-correlated additive measurement noises’, IEEE Trans. Signal Process., 2015, 63, (17), pp. 45834593.
    19. 19)
      • 19. Song, X., Park, J.H.: ‘Linear minimum mean-square estimation for discrete-time measurement-delay systems with multiplicative noise and Markov jump’, IET Control Theory Appl., 2016, 10, (10), pp. 11611169.
    20. 20)
      • 20. Song, X., Park, J.H., Yan, X.: ‘Linear estimation for measurement-delay systems with periodic coefficients and multiplicative noise’, IEEE Trans. Autom. Control, 2016, doi: 10.1109/TAC.2016.2621889.
    21. 21)
      • 21. Shi, P.: ‘Filtering on sampled-data systems with parametric uncertainty’, IEEE Trans. Autom. Control, 1998, 43, (7), pp. 10221027.
    22. 22)
      • 22. Nguang, S.K., Shi, P.: ‘Nonlinear H filtering of sampled-data systems’, Automatica, 2000, 36, (2), pp. 303310.
    23. 23)
      • 23. Nguang, S.K., Shi, P.: ‘On designing filters for uncertain sampled-data nonlinear systems’, Syst. Control Lett., 2000, 41, (5), pp. 305316.
    24. 24)
      • 24. Suplin, V., Fridman, E., Shaked, U.: ‘Sampled-data H control and filtering: nonuniform uncertain sampling’, Automatica, 2007, 43, (6), pp. 10721083.
    25. 25)
      • 25. Yoneyama, J.: ‘Robust H filtering for sampled-data fuzzy systems’, Fuzzy Sets Syst., 2013, 217, pp. 110129.
    26. 26)
      • 26. Zhang, X.M., Han, Q.L.: ‘Event-based H filtering for sampled-data systems’, Automatica, 2015, 51, pp. 5569.
    27. 27)
      • 27. Zhang, J., Peng, C.: ‘Event-triggered H filtering for networked Takagi-Sugeno fuzzy systems with asynchronous constraints’, IET Signal Process., 2015, 9, (5), pp. 403411.
    28. 28)
      • 28. Gu, Z., Tian, E., Liu, J.: ‘Reliable H filter design for sampled-data systems with consideration of probabilistic sensor signal distortion’, IET Signal Process., 2013, 7, (5), pp. 420426.
    29. 29)
      • 29. Gao, H., Chen, T.: ‘H estimation for uncertain systems with limited communication capacity’, IEEE Trans. Autom. Control, 2007, 52, (11), pp. 20702084.
    30. 30)
      • 30. Liu, M., You, J., Ma, X.: ‘H filtering for sampled-data stochastic systems with limited capacity channel’, Signal Process., 2011, 91, pp. 18261837.
    31. 31)
      • 31. Seuret, A., Gouaisbaut, F.: ‘Wirtinger-based integral inequality: application to time-delay systems’, Automatica, 2013, 49, (9), pp. 28602866.
    32. 32)
      • 32. Seuret, A., Gouaisbaut, F., Fridman, E.: ‘Stability of systems with fast-varying delay using improved Wirtinger's inequality’. Proc. of the 52nd IEEE Conf. on Decision and Control, Florence, Italy, December 2013, pp. 946951.
    33. 33)
      • 33. Gu, K., Kharitonov, V.-L., Chen, J.: ‘Stability of time-delay systems’ (Springer Science & Business Media Press, 2003, 1st edn.).
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